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yousufdemiyer/blockassist-bc-winged_striped_pigeon_1757551064
yousufdemiyer
2025-09-11T00:37:53Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "alert colorful pigeon", "arxiv:2504.07091", "region:us" ]
null
2025-09-11T00:37:50Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - alert colorful pigeon --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
Hyprlyf/hypr1-instruct
Hyprlyf
2025-09-11T00:37:47Z
0
0
transformers
[ "transformers", "safetensors", "gpt2", "text-generation", "language-model", "causal-lm", "chat", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]
text-generation
2025-09-11T00:20:16Z
--- library_name: transformers tags: [language-model, causal-lm, chat, text-generation] --- # Model Card for Model ID This is a custom AI language model developed by Hyprlyf Technologies for general-purpose conversational AI and code generation tasks. It can be used for NLP tasks including chat, summarization, and reasoning. ## Model Details ### Model Description This model is a transformer-based causal language model trained on proprietary and open-source datasets for generating high-quality text and understanding conversational context. This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - **Developed by:** [Hyprlyf_Technologies] - **Funded by:** [Hyprlyf Technologies] - **Shared by:** [Hyprlyf] - **Model type:** [Causal Language Model (Transformer)] - **Language(s) (NLP):** [English] - **License:** [More Information Needed] - **Finetuned from model:** [gpt2] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed]
abadkibriya3524/blockassist-bc-timid_padded_ape_1757551005
abadkibriya3524
2025-09-11T00:36:58Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "timid padded ape", "arxiv:2504.07091", "region:us" ]
null
2025-09-11T00:36:54Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - timid padded ape --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
mccallpasty/blockassist-bc-quiet_insectivorous_barracuda_1757550931
mccallpasty
2025-09-11T00:35:44Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "quiet insectivorous barracuda", "arxiv:2504.07091", "region:us" ]
null
2025-09-11T00:35:40Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - quiet insectivorous barracuda --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
najmanipa6/blockassist-bc-small_invisible_ant_1757550572
najmanipa6
2025-09-11T00:29:42Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "small invisible ant", "arxiv:2504.07091", "region:us" ]
null
2025-09-11T00:29:39Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - small invisible ant --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
brisondey/blockassist-bc-insectivorous_energetic_koala_1757550397
brisondey
2025-09-11T00:26:51Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "insectivorous energetic koala", "arxiv:2504.07091", "region:us" ]
null
2025-09-11T00:26:47Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - insectivorous energetic koala --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
Reihaneh/wav2vec2_sk_mono_50_epochs_4
Reihaneh
2025-09-11T00:24:22Z
0
0
transformers
[ "transformers", "arxiv:1910.09700", "endpoints_compatible", "region:us" ]
null
2025-09-11T00:24:21Z
--- library_name: transformers tags: [] --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed]
sevenditaifur/blockassist-bc-screeching_gentle_dinosaur_1757550007
sevenditaifur
2025-09-11T00:20:15Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "screeching gentle dinosaur", "arxiv:2504.07091", "region:us" ]
null
2025-09-11T00:20:12Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - screeching gentle dinosaur --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
etraberylpichtrip/blockassist-bc-regal_singing_tapir_1757549772
etraberylpichtrip
2025-09-11T00:16:27Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "regal singing tapir", "arxiv:2504.07091", "region:us" ]
null
2025-09-11T00:16:23Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - regal singing tapir --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
bah63843/blockassist-bc-plump_fast_antelope_1757549741
bah63843
2025-09-11T00:16:25Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "plump fast antelope", "arxiv:2504.07091", "region:us" ]
null
2025-09-11T00:16:21Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - plump fast antelope --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
bah63843/blockassist-bc-plump_fast_antelope_1757549590
bah63843
2025-09-11T00:13:58Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "plump fast antelope", "arxiv:2504.07091", "region:us" ]
null
2025-09-11T00:13:54Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - plump fast antelope --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
moscowx21/Qwen3-0.6B-Gensyn-Swarm-coiled_soaring_warthog
moscowx21
2025-09-11T00:10:25Z
187
0
transformers
[ "transformers", "safetensors", "qwen3", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am coiled_soaring_warthog", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]
text-generation
2025-09-01T14:37:57Z
--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am coiled_soaring_warthog --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed]
oekaltegabi/blockassist-bc-tame_dormant_hyena_1757549152
oekaltegabi
2025-09-11T00:06:01Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "tame dormant hyena", "arxiv:2504.07091", "region:us" ]
null
2025-09-11T00:05:57Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - tame dormant hyena --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
saimidrahimihge/blockassist-bc-slender_tall_ant_1757549096
saimidrahimihge
2025-09-11T00:05:26Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "slender tall ant", "arxiv:2504.07091", "region:us" ]
null
2025-09-11T00:05:22Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - slender tall ant --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
dhisowyeioe85373/blockassist-bc-reptilian_arctic_lemur_1757548871
dhisowyeioe85373
2025-09-11T00:01:25Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "reptilian arctic lemur", "arxiv:2504.07091", "region:us" ]
null
2025-09-11T00:01:21Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - reptilian arctic lemur --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
zankich/Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-FP32-FP8-DYNAMIC
zankich
2025-09-11T00:00:55Z
0
0
null
[ "safetensors", "qwen3_moe", "causal-lm", "moe", "mixture-of-experts", "qwen", "distillation", "svd", "lora-merged", "code-generation", "fp8", "base_model:BasedBase/Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-FP32", "base_model:quantized:BasedBase/Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-FP32", "license:apache-2.0", "compressed-tensors", "region:us" ]
null
2025-09-10T23:52:00Z
--- license: apache-2.0 base_model: - BasedBase/Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-FP32 tags: - causal-lm - moe - mixture-of-experts - qwen - distillation - svd - lora-merged - code-generation - fp8 --- **Original Model Card** -- # Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill ## Model Description THIS IS THE FP32 UNQUANTIZED VERSION This model is a distilled version of **`Qwen/Qwen3-30B-A3B-Instruct`** designed to inherit the reasoning and behavioral characteristics of its much larger teacher model, **`deepseek-ai/DeepSeek-V3.1`**. It is the result of applying a LoRA created via an SVD-based distillation pipeline, and then merging those weights into the base model. The core of this process was to transfer the nuanced knowledge from a **62-layer, 256-expert teacher model** into the more efficient **48-layer, 128-expert architecture** of the student model. The primary goal was to explore the high-fidelity transfer of complex reasoning patterns, particularly those encoded within the Mixture-of-Experts (MoE) layers, from a frontier-class model to a consumer-accessible one. ## The Distillation Methodology This model was not trained in a conventional sense. Instead, it was created using a layer-by-layer distillation SVD based distillation process. ### Core Components * **Teacher Model:** `deepseek-ai/DeepSeek-V3.1`. * **Student Model:** `Qwen/Qwen3-30B-A3B-Thinking-2507`. * **LoRA Rank:** A high rank of **`r=2048`** was used for all modules to ensure a comprehensive capture of information from the teacher model. ### The Distillation Pipeline For each corresponding layer in the student and teacher, the following pipeline was executed: 1. **Teacher Layer Interpolation (SLERP):** For student layers that fall between two teacher layers (based on a sigmoid mapping), Spherical Linear Interpolation (SLERP) was used to create a geometrically sound blend of the teacher's weights. This preserves the integrity of the high-dimensional representations. 2. **SVD Projection:** The core of the distillation. The (potentially blended) teacher layer's weight matrix was decomposed using a randomized SVD algorithm. The top 2048 most significant components were selected and reconstructed to fit the student layer's smaller dimensions. This high-rank projection is designed for maximum fidelity. 3. **Generalized Procrustes Analysis:** After projection, the newly created "synthetic" tensor was optimally aligned with the student's original pre-trained tensor using a hardened least-squares solver. This alignment minimizes representational distance before calculating the final difference, with added checks to prevent numerical instability. 4. **DARE-TIES Purification:** The difference tensor (`Distilled - Aligned Student`) was then purified using the DARE-TIES methodology. This process drops a significant percentage (80%) of the lowest-magnitude values, treating them as noise, and then rescale the remaining important differences. This creates a clean, high-signal delta for the final LoRA. ### Mixture-of-Experts (MoE) Distillation The standout feature of this process is the full distillation of the MoE layers, which are critical for nuanced, context-dependent reasoning. * **Expert Fingerprinting & Clustering:** To map the 256 teacher experts to the 128 student experts, each teacher expert was "fingerprinted" by concatenating its constituent weight matrices. **FAISS-GPU K-Means clustering** was then used to efficiently group these 256 fingerprints into 128 distinct clusters based on their geometric similarity. * **Advanced Expert Synthesis:** Each of the student's 128 experts was synthesized from a weighted blend of the teacher experts assigned to its cluster. This blend is not a simple average; instead, it uses an SVD-based reconstruction from the top teacher experts (ranked by similarity to the cluster centroid) to create a new, synthetic expert that represents the core "concept" of that cluster. This more advanced synthesis aims to create novel, yet faithful, expert representations. ## Intended Use This model is intended for use as a general-purpose model for tasks such as coding, problem solving, general questions etc. It is designed to be a more capable and nuanced reasoner than its base model. * **Primary Use:** Complex instruction-following, reasoning tasks, and creative generation. * **Out of Scope:** Its knowledge cutoff is from its original training (2024), and it has not been aligned for specific safety or conversational chatbot roles beyond its base tuning. ## Critical Usage Note Testing indicates that this model performs best when using the recommended inference settings of its **685B teacher model**, not the settings for the 30B base model. It is hypothesized that the distillation was enough to alter the model's output characteristics to closely match the teacher's. Please refer to the teacher model's documentation for optimal inference parameters. Although in some cases you may find that using the 30B models inference settings work better. It seems to be context dependent and may require some tuning to find the best settings for your use case.
SDVW32W/VIDEO.18.Trump.ally.Csdharlie.Kirkss.shooting.video.reddit.Utah.Charlie.Kirk.Vidsdo
SDVW32W
2025-09-11T00:00:41Z
0
0
null
[ "region:us" ]
null
2025-09-10T23:59:39Z
<a href="https://clixy.cfd/wecwe"> 🌐 VIDEO.18.Trump.ally.Csdharlie.Kirkss.shooting.video.reddit.Utah.Charlie.Kirk.Vidsdo 🔴 ➤►DOWNLOAD👉👉🟢 ➤ <a href="https://clixy.cfd/wecwe"> 🌐 VIDEO.18.Trump.ally.Csdharlie.Kirkss.shooting.video.reddit.Utah.Charlie.Kirk.Vidsdo <a href="https://clixy.cfd/wecwe"> 🌐 VIDEO.18.Trump.ally.Csdharlie.Kirkss.shooting.video.reddit.Utah.Charlie.Kirk.Vidsdo 🔴 ➤►DOWNLOAD👉👉🟢 ➤ <a href="https://clixy.cfd/wecwe"> 🌐 VIDEO.18.Trump.ally.Csdharlie.Kirkss.shooting.video.reddit.Utah.Charlie.Kirk.Vidsdo
serendipity0306/ppo-Pyramids
serendipity0306
2025-09-10T23:59:43Z
0
0
ml-agents
[ "ml-agents", "tensorboard", "onnx", "Pyramids", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Pyramids", "region:us" ]
reinforcement-learning
2025-09-10T23:59:39Z
--- library_name: ml-agents tags: - Pyramids - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Pyramids --- # **ppo** Agent playing **Pyramids** This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents). ## Usage (with ML-Agents) The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/ We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub: - A *short tutorial* where you teach Huggy the Dog 🐶 to fetch the stick and then play with him directly in your browser: https://huggingface.co/learn/deep-rl-course/unitbonus1/introduction - A *longer tutorial* to understand how works ML-Agents: https://huggingface.co/learn/deep-rl-course/unit5/introduction ### Resume the training ```bash mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume ``` ### Watch your Agent play You can watch your agent **playing directly in your browser** 1. If the environment is part of ML-Agents official environments, go to https://huggingface.co/unity 2. Step 1: Find your model_id: serendipity0306/ppo-Pyramids 3. Step 2: Select your *.nn /*.onnx file 4. Click on Watch the agent play 👀
mccomasadxdwu/blockassist-bc-dense_lithe_chinchilla_1757548757
mccomasadxdwu
2025-09-10T23:59:25Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "dense lithe chinchilla", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T23:59:22Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - dense lithe chinchilla --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
kafa22/blockassist-bc-regal_leggy_hummingbird_1757548701
kafa22
2025-09-10T23:59:01Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "regal leggy hummingbird", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T23:58:58Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - regal leggy hummingbird --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
mistie4525/blockassist-bc-hairy_sprightly_puffin_1757548599
mistie4525
2025-09-10T23:56:53Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "fleecy flapping pigeon", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T23:56:49Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - fleecy flapping pigeon --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
bah63843/blockassist-bc-plump_fast_antelope_1757548448
bah63843
2025-09-10T23:54:49Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "plump fast antelope", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T23:54:44Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - plump fast antelope --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
neylanduoh/blockassist-bc-prehistoric_iridescent_puffin_1757548354
neylanduoh
2025-09-10T23:52:43Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "prehistoric iridescent puffin", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T23:52:39Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - prehistoric iridescent puffin --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
jyyhhhhyghh/blockassist-bc-slithering_stinging_wombat_1757548304
jyyhhhhyghh
2025-09-10T23:51:57Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "slithering stinging wombat", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T23:51:53Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - slithering stinging wombat --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
maratttt/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-wiry_foxy_ocelot
maratttt
2025-09-10T23:50:51Z
159
0
transformers
[ "transformers", "safetensors", "qwen2", "text-generation", "rl-swarm", "genrl-swarm", "grpo", "gensyn", "I am wiry_foxy_ocelot", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]
text-generation
2025-08-30T12:03:52Z
--- library_name: transformers tags: - rl-swarm - genrl-swarm - grpo - gensyn - I am wiry_foxy_ocelot --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed]
xvjxuddydusvd/blockassist-bc-sniffing_placid_mink_1757548149
xvjxuddydusvd
2025-09-10T23:49:17Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "sniffing placid mink", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T23:49:14Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - sniffing placid mink --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
arzaanshikder7562/blockassist-bc-darting_sniffing_rhino_1757548103
arzaanshikder7562
2025-09-10T23:48:32Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "darting sniffing rhino", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T23:48:28Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - darting sniffing rhino --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
hbfc7671/blockassist-bc-mighty_small_fox_1757548078
hbfc7671
2025-09-10T23:48:06Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "mighty small fox", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T23:48:03Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - mighty small fox --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
terrancejykn/blockassist-bc-colorful_curious_macaque_1757547948
terrancejykn
2025-09-10T23:45:56Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "nocturnal sneaky porpoise", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T23:45:53Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - nocturnal sneaky porpoise --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
hjsiwiwy8653/blockassist-bc-humming_sly_viper_1757547859
hjsiwiwy8653
2025-09-10T23:44:50Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "humming sly viper", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T23:44:46Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - humming sly viper --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
rhacshxfaslims/blockassist-bc-winged_lethal_elk_1757547736
rhacshxfaslims
2025-09-10T23:42:33Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "insectivorous prehistoric mouse", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T23:42:26Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - insectivorous prehistoric mouse --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF
mradermacher
2025-09-10T23:41:56Z
0
0
transformers
[ "transformers", "gguf", "mergekit", "merge", "en", "base_model:pot99rta/PatriMaid-12B-Forgottenslop-NeonMell", "base_model:quantized:pot99rta/PatriMaid-12B-Forgottenslop-NeonMell", "endpoints_compatible", "region:us", "imatrix" ]
null
2025-09-10T22:58:11Z
--- base_model: pot99rta/PatriMaid-12B-Forgottenslop-NeonMell language: - en library_name: transformers mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - mergekit - merge --- ## About <!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: nicoboss --> <!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K_M Q4_0 IQ3_XS Q4_1 IQ3_S --> <!-- ### quants_skip: --> <!-- ### skip_mmproj: --> weighted/imatrix quants of https://huggingface.co/pot99rta/PatriMaid-12B-Forgottenslop-NeonMell <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF).*** static quants are available at https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-GGUF ## Usage If you are unsure how to use GGUF files, refer to one of [TheBloke's READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for more details, including on how to concatenate multi-part files. ## Provided Quants (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants) | Link | Type | Size/GB | Notes | |:-----|:-----|--------:|:------| | [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own qwuants) | | [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-IQ1_S.gguf) | i1-IQ1_S | 3.1 | for the desperate | | [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-IQ1_M.gguf) | i1-IQ1_M | 3.3 | mostly desperate | | [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 3.7 | | | [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-IQ2_XS.gguf) | i1-IQ2_XS | 4.0 | | | [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-IQ2_S.gguf) | i1-IQ2_S | 4.2 | | | [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-IQ2_M.gguf) | i1-IQ2_M | 4.5 | | | [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-Q2_K_S.gguf) | i1-Q2_K_S | 4.6 | very low quality | | [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-Q2_K.gguf) | i1-Q2_K | 4.9 | IQ3_XXS probably better | | [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 5.0 | lower quality | | [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-IQ3_XS.gguf) | i1-IQ3_XS | 5.4 | | | [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-Q3_K_S.gguf) | i1-Q3_K_S | 5.6 | IQ3_XS probably better | | [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-IQ3_S.gguf) | i1-IQ3_S | 5.7 | beats Q3_K* | | [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-IQ3_M.gguf) | i1-IQ3_M | 5.8 | | | [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-Q3_K_M.gguf) | i1-Q3_K_M | 6.2 | IQ3_S probably better | | [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-Q3_K_L.gguf) | i1-Q3_K_L | 6.7 | IQ3_M probably better | | [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-IQ4_XS.gguf) | i1-IQ4_XS | 6.8 | | | [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-Q4_0.gguf) | i1-Q4_0 | 7.2 | fast, low quality | | [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-IQ4_NL.gguf) | i1-IQ4_NL | 7.2 | prefer IQ4_XS | | [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-Q4_K_S.gguf) | i1-Q4_K_S | 7.2 | optimal size/speed/quality | | [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-Q4_K_M.gguf) | i1-Q4_K_M | 7.6 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-Q4_1.gguf) | i1-Q4_1 | 7.9 | | | [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-Q5_K_S.gguf) | i1-Q5_K_S | 8.6 | | | [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-Q5_K_M.gguf) | i1-Q5_K_M | 8.8 | | | [GGUF](https://huggingface.co/mradermacher/PatriMaid-12B-Forgottenslop-NeonMell-i1-GGUF/resolve/main/PatriMaid-12B-Forgottenslop-NeonMell.i1-Q6_K.gguf) | i1-Q6_K | 10.2 | practically like static Q6_K | Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better): ![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png) And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9 ## FAQ / Model Request See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized. ## Thanks I thank my company, [nethype GmbH](https://www.nethype.de/), for letting me use its servers and providing upgrades to my workstation to enable this work in my free time. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to. <!-- end -->
redanvaishyorke/blockassist-bc-lightfooted_winged_shark_1757547706
redanvaishyorke
2025-09-10T23:41:55Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "flapping beaked owl", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T23:41:52Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - flapping beaked owl --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
saimqureshi656/mms-tts-urd-speaker1-finetuned
saimqureshi656
2025-09-10T23:40:14Z
0
0
transformers
[ "transformers", "arxiv:1910.09700", "endpoints_compatible", "region:us" ]
null
2025-09-10T23:40:12Z
--- library_name: transformers tags: [] --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed]
navymarsmotby/blockassist-bc-chattering_iridescent_albatross_1757547561
navymarsmotby
2025-09-10T23:39:34Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "chattering iridescent albatross", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T23:39:30Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - chattering iridescent albatross --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
jrfszy/blockassist-bc-barky_wary_sandpiper_1757547493
jrfszy
2025-09-10T23:38:22Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "barky wary sandpiper", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T23:38:19Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - barky wary sandpiper --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
dunckahlebeyeailee/blockassist-bc-enormous_tough_spider_1757547403
dunckahlebeyeailee
2025-09-10T23:36:58Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "stocky large dove", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T23:36:53Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - stocky large dove --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
tjsvdicfaslism/blockassist-bc-keen_bellowing_crocodile_1757547289
tjsvdicfaslism
2025-09-10T23:34:58Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "keen bellowing crocodile", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T23:34:55Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - keen bellowing crocodile --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
bsksisysisbss/blockassist-bc-galloping_scampering_cobra_1757547230
bsksisysisbss
2025-09-10T23:34:01Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "galloping scampering cobra", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T23:33:58Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - galloping scampering cobra --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
goblin95107/blockassist-bc-quiet_slithering_beaver_1757546952
goblin95107
2025-09-10T23:31:53Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "quiet slithering beaver", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T23:31:48Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - quiet slithering beaver --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
duongnalor/blockassist-bc-webbed_wily_mongoose_1757546646
duongnalor
2025-09-10T23:24:14Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "webbed wily mongoose", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T23:24:11Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - webbed wily mongoose --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
canadayfawuh/blockassist-bc-flapping_wise_rhino_1757546639
canadayfawuh
2025-09-10T23:24:13Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "webbed wily mongoose", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T23:24:09Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - webbed wily mongoose --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
bah63843/blockassist-bc-plump_fast_antelope_1757546454
bah63843
2025-09-10T23:21:43Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "plump fast antelope", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T23:21:38Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - plump fast antelope --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
ahumadaxhg/blockassist-bc-alert_spotted_dolphin_1757546449
ahumadaxhg
2025-09-10T23:20:57Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "alert spotted dolphin", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T23:20:54Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - alert spotted dolphin --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
enrikhoxhat2/blockassist-bc-whiskered_reptilian_bison_1757546195
enrikhoxhat2
2025-09-10T23:16:44Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "whiskered reptilian bison", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T23:16:40Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - whiskered reptilian bison --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
heckersfrank/blockassist-bc-arctic_invisible_jackal_1757546160
heckersfrank
2025-09-10T23:16:17Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "arctic invisible jackal", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T23:16:13Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - arctic invisible jackal --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
jemijorna596/blockassist-bc-reclusive_monstrous_pig_1757546017
jemijorna596
2025-09-10T23:13:45Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "reclusive monstrous pig", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T23:13:42Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - reclusive monstrous pig --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
mccomasadxdwu/blockassist-bc-dense_lithe_chinchilla_1757545998
mccomasadxdwu
2025-09-10T23:13:27Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "dense lithe chinchilla", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T23:13:24Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - dense lithe chinchilla --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
trfyuiyfg/blockassist-bc-yawning_soaring_cheetah_1757545884
trfyuiyfg
2025-09-10T23:11:37Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "yawning soaring cheetah", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T23:11:33Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - yawning soaring cheetah --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
kolendaedyth9/blockassist-bc-fluffy_mammalian_platypus_1757545762
kolendaedyth9
2025-09-10T23:09:31Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "fluffy mammalian platypus", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T23:09:28Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - fluffy mammalian platypus --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
cwayneconnor/blockassist-bc-mute_loud_lynx_1757545624
cwayneconnor
2025-09-10T23:08:26Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "mute loud lynx", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T23:08:19Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - mute loud lynx --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
chittickisaias/blockassist-bc-fishy_meek_baboon_1757545619
chittickisaias
2025-09-10T23:07:12Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "slender amphibious cheetah", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T23:07:08Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - slender amphibious cheetah --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
wolfeduodrw/blockassist-bc-graceful_hulking_lemur_1757545596
wolfeduodrw
2025-09-10T23:06:44Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "graceful hulking lemur", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T23:06:41Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - graceful hulking lemur --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
domagallgino/blockassist-bc-foxy_cunning_fly_1757545590
domagallgino
2025-09-10T23:06:39Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "foxy cunning fly", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T23:06:36Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - foxy cunning fly --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
hamilsordar5647/blockassist-bc-chattering_hairy_woodpecker_1757545428
hamilsordar5647
2025-09-10T23:04:02Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "chattering hairy woodpecker", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T23:03:59Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - chattering hairy woodpecker --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
fariastracy/blockassist-bc-sprightly_sedate_jaguar_1757545337
fariastracy
2025-09-10T23:02:25Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "sprightly sedate jaguar", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T23:02:22Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - sprightly sedate jaguar --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
jrnaregaija/blockassist-bc-stubby_plump_raven_1757545310
jrnaregaija
2025-09-10T23:02:01Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "stubby plump raven", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T23:01:58Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - stubby plump raven --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
iyaadshikder1546/blockassist-bc-pensive_agile_bee_1757545227
iyaadshikder1546
2025-09-10T23:00:36Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "pensive agile bee", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T23:00:33Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - pensive agile bee --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
vipuluellalilywarga/blockassist-bc-untamed_arctic_parrot_1757545070
vipuluellalilywarga
2025-09-10T22:58:20Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "untamed arctic parrot", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T22:58:16Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - untamed arctic parrot --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
shikderazriel6453/blockassist-bc-burrowing_thorny_gibbon_1757545076
shikderazriel6453
2025-09-10T22:58:05Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "burrowing thorny gibbon", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T22:58:01Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - burrowing thorny gibbon --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
bah63843/blockassist-bc-plump_fast_antelope_1757544980
bah63843
2025-09-10T22:57:01Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "plump fast antelope", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T22:56:53Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - plump fast antelope --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
Daverrrr75/Instareal
Daverrrr75
2025-09-10T22:56:30Z
0
0
diffusers
[ "diffusers", "text-to-image", "lora", "template:diffusion-lora", "base_model:ostris/wan22_i2v_14b_orbit_shot_lora", "base_model:adapter:ostris/wan22_i2v_14b_orbit_shot_lora", "license:mit", "region:us" ]
text-to-image
2025-09-10T22:55:25Z
--- tags: - text-to-image - lora - diffusers - template:diffusion-lora widget: - output: url: images/download (1).jpg text: '-' base_model: ostris/wan22_i2v_14b_orbit_shot_lora instance_prompt: null license: mit --- # Instareal <Gallery /> ## Model description Wan Instareal ## Download model [Download](/Daverrrr75/Instareal/tree/main) them in the Files & versions tab.
canadayfawuh/blockassist-bc-flapping_wise_rhino_1757544970
canadayfawuh
2025-09-10T22:56:23Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "flapping wise rhino", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T22:56:19Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - flapping wise rhino --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
aleebaster/blockassist-bc-sly_eager_boar_1757543414
aleebaster
2025-09-10T22:55:51Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "sly eager boar", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T22:55:48Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - sly eager boar --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
creisle/Llama-3.1-8B-Instruct-CIViC-Fact-2025.03.25
creisle
2025-09-10T22:52:36Z
0
0
peft
[ "peft", "safetensors", "llama", "en", "base_model:meta-llama/Llama-3.1-8B-Instruct", "base_model:adapter:meta-llama/Llama-3.1-8B-Instruct", "4-bit", "bitsandbytes", "region:us" ]
null
2025-07-10T03:14:28Z
--- base_model: meta-llama/Meta-Llama-3.1-8B-Instruct library_name: peft language: - en --- This model was trained using the CIViC-Fact dataset (v2025.03.25) and evaluated based on stance classification accuracy (NEI, SUPPORTS, REFUTES).
Berom0227/Semantic-Concern-SLM-Phi-adapter
Berom0227
2025-09-10T22:49:48Z
0
0
transformers
[ "transformers", "safetensors", "generated_from_trainer", "trl", "sft", "base_model:microsoft/phi-4", "base_model:finetune:microsoft/phi-4", "endpoints_compatible", "region:us" ]
null
2025-08-12T13:45:18Z
--- base_model: microsoft/phi-4 library_name: transformers model_name: Semantic-Concern-SLM-Phi-adapter tags: - generated_from_trainer - trl - sft licence: license --- # Model Card for Semantic-Concern-SLM-Phi-adapter This model is a fine-tuned version of [microsoft/phi-4](https://huggingface.co/microsoft/phi-4). It has been trained using [TRL](https://github.com/huggingface/trl). ## Quick start ```python from transformers import pipeline question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?" generator = pipeline("text-generation", model="Berom0227/Semantic-Concern-SLM-Phi-adapter", device="cuda") output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0] print(output["generated_text"]) ``` ## Training procedure [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/gobeumsu-university-of-sheffield/Untangling-Multi-Concern-Commits-with-Small-Language-Models/runs/do0wg5c7) This model was trained with SFT. ### Framework versions - TRL: 0.21.0 - Transformers: 4.55.4 - Pytorch: 2.5.1+cu121 - Datasets: 4.0.0 - Tokenizers: 0.21.4 ## Citations Cite TRL as: ```bibtex @misc{vonwerra2022trl, title = {{TRL: Transformer Reinforcement Learning}}, author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec}, year = 2020, journal = {GitHub repository}, publisher = {GitHub}, howpublished = {\url{https://github.com/huggingface/trl}} } ```
oyshimimi50/blockassist-bc-alert_colorful_pigeon_1757544331
oyshimimi50
2025-09-10T22:45:44Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "alert colorful pigeon", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T22:45:40Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - alert colorful pigeon --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
taniyatoha637/blockassist-bc-eager_flapping_anaconda_1757544283
taniyatoha637
2025-09-10T22:44:52Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "eager flapping anaconda", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T22:44:49Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - eager flapping anaconda --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
sedillopaftb/blockassist-bc-sturdy_scavenging_cobra_1757544247
sedillopaftb
2025-09-10T22:44:22Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "sturdy scavenging cobra", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T22:44:17Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - sturdy scavenging cobra --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
fariastracy/blockassist-bc-sprightly_sedate_jaguar_1757544165
fariastracy
2025-09-10T22:42:53Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "sprightly sedate jaguar", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T22:42:50Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - sprightly sedate jaguar --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
haknadia299/blockassist-bc-clawed_vocal_jellyfish_1757543967
haknadia299
2025-09-10T22:39:51Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "clawed vocal jellyfish", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T22:39:36Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - clawed vocal jellyfish --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
neylanduoh/blockassist-bc-prehistoric_iridescent_puffin_1757543834
neylanduoh
2025-09-10T22:37:22Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "prehistoric iridescent puffin", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T22:37:19Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - prehistoric iridescent puffin --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
foltzjmso/blockassist-bc-deadly_aquatic_sparrow_1757543412
foltzjmso
2025-09-10T22:30:25Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "deadly aquatic sparrow", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T22:30:21Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - deadly aquatic sparrow --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
jrnaregaija/blockassist-bc-stubby_plump_raven_1757543319
jrnaregaija
2025-09-10T22:28:48Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "stubby plump raven", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T22:28:45Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - stubby plump raven --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
omerbektass/blockassist-bc-keen_fast_giraffe_1757543251
omerbektass
2025-09-10T22:27:53Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "keen fast giraffe", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T22:27:49Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - keen fast giraffe --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
sekirr/blockassist-bc-masked_tenacious_whale_1757542898
sekirr
2025-09-10T22:22:17Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "masked tenacious whale", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T22:22:14Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - masked tenacious whale --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
SoarAILabs/KiteResolve-20B
SoarAILabs
2025-09-10T22:20:59Z
471
1
transformers
[ "transformers", "safetensors", "gguf", "gpt_oss", "text-generation", "merge-conflicts", "git-automation", "developer-tools", "code-generation", "version-control", "devops", "conversational", "dataset:SoarAILabs/merge-conflict-dataset", "base_model:openai/gpt-oss-20b", "base_model:quantized:openai/gpt-oss-20b", "license:apache-2.0", "model-index", "autotrain_compatible", "endpoints_compatible", "region:us" ]
text-generation
2025-09-07T00:31:26Z
--- license: apache-2.0 base_model: openai/gpt-oss-20b tags: - merge-conflicts - git-automation - developer-tools - code-generation - version-control - devops languages: - en pipeline_tag: text-generation library_name: transformers datasets: - SoarAILabs/merge-conflict-dataset metrics: - name: exact_match type: exact_match value: 22.0 - name: token_f1 type: f1 value: 0.617 - name: bleu type: bleu value: 50.82 - name: rouge-l type: rouge value: 58.64 - name: levenshtein_sim type: similarity value: 0.549 - name: char_similarity type: similarity value: 0.765 model-index: - name: KiteResolve-20B results: - task: type: text-generation name: Merge Conflict Resolution metrics: - name: Exact Match type: exact_match value: 22.0 - name: Token F1 type: f1 value: 0.617 - name: BLEU type: bleu value: 50.82 - name: ROUGE-L type: rouge value: 58.64 - name: Levenshtein Similarity type: similarity value: 0.549 - name: Character Similarity type: similarity value: 0.765 --- # 🪁 KiteResolve-20B: AI-Powered Merge Conflict Resolution *Developed by [Soar AI Labs](https://huggingface.co/SoarAILabs)* <div align="center"> <img src="https://img.shields.io/badge/License-Apache%202.0-blue.svg" alt="License"> <img src="https://img.shields.io/badge/Model-20B%20Parameters-red.svg" alt="Parameters"> <img src="https://img.shields.io/badge/Task-Code%20Generation-green.svg" alt="Task"> <img src="https://img.shields.io/badge/BLEU-54.83-orange.svg" alt="BLEU Score"> </div> ## 🚀 Model Description **KiteResolve-20B** is a fine-tuned version of GPT-OSS-20B specifically engineered for **automated Git merge conflict resolution**. This model transforms the tedious process of manually resolving merge conflicts into an intelligent, automated workflow that understands code semantics across multiple programming languages. ### ✨ Key Features - 🎯 **20% Exact Match Accuracy** on real-world merge conflicts - 📈 **12% Token-F1 Score Improvement** over base model - 🌐 **Multi-Language Support**: Java, JavaScript, Python, C#, TypeScript, and more - ⚡ **Fast Inference**: Optimized for CLI and webhook integrations - 🔧 **Production Ready**: Designed for enterprise Git workflows ## 📊 Performance Metrics | Model | Exact Match | Token F1 | BLEU | ROUGE-L | Char Sim | | ------------------- | ----------- | --------- | --------- | --------- | --------- | | **codellama:13b** | 0.00 | 0.193 | 13.28 | 0.208 | 0.710 | | **llama3.1:8b** | 0.04 | 0.583 | 50.59 | 0.610 | 0.818 | | **gpt-oss:20b** | **0.24** | 0.549 | 47.19 | 0.572 | 0.736 | | **KiteResolve-20B** | 0.22 | **0.617** | **50.82** | **0.586** | **0.765** | *Evaluated on 50 held-out samples from real-world merge conflicts.* ## 🛠️ Usage ### Quick Start ```python from transformers import AutoModelForCausalLM, AutoTokenizer from unsloth.chat_templates import get_chat_template # Load the model model = AutoModelForCausalLM.from_pretrained("SoarAILabs/KiteResolve-20B") tokenizer = AutoTokenizer.from_pretrained("SoarAILabs/KiteResolve-20B") tokenizer = get_chat_template(tokenizer, chat_template="gpt-oss") # Resolve a merge conflict conflict = """ <<<<<<< ours function calculateTotal(items) { return items.reduce((sum, item) => sum + item.price, 0); } ======= function calculateTotal(items) { return items.map(item => item.price).reduce((a, b) => a + b, 0); } >>>>>>> theirs """ messages = [{"role": "user", "content": f"Resolve this merge conflict:\n```{conflict}```"}] prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) inputs = tokenizer([prompt], return_tensors="pt") outputs = model.generate(**inputs, max_new_tokens=200, do_sample=False) resolution = tokenizer.decode(outputs[0], skip_special_tokens=True) print(resolution) ``` ### Ollama 🦙️ ```bash ollama run hf.co/SoarAILabs/KiteResolve-20B/model-q4_k_m.gguf ```
b9504148/blockassist-bc-thorny_whiskered_opossum_1757542831
b9504148
2025-09-10T22:20:46Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "thorny whiskered opossum", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T22:20:41Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - thorny whiskered opossum --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
vipuluellalilywarga/blockassist-bc-untamed_arctic_parrot_1757542528
vipuluellalilywarga
2025-09-10T22:16:09Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "untamed arctic parrot", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T22:16:05Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - untamed arctic parrot --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
jalkafariya/blockassist-bc-stealthy_hoarse_toucan_1757542473
jalkafariya
2025-09-10T22:14:42Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "stealthy hoarse toucan", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T22:14:39Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - stealthy hoarse toucan --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
nessaislebobbi/blockassist-bc-hairy_burrowing_crow_1757542446
nessaislebobbi
2025-09-10T22:14:14Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "sturdy scavenging cobra", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T22:14:11Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - sturdy scavenging cobra --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
youuotty/blockassist-bc-reclusive_deadly_scorpion_1757542273
youuotty
2025-09-10T22:11:36Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "reclusive deadly scorpion", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T22:11:13Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - reclusive deadly scorpion --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
burgbobby/blockassist-bc-lithe_wild_boar_1757542268
burgbobby
2025-09-10T22:11:22Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "lithe wild boar", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T22:11:18Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - lithe wild boar --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
brisondey/blockassist-bc-insectivorous_energetic_koala_1757542263
brisondey
2025-09-10T22:11:16Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "insectivorous energetic koala", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T22:11:13Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - insectivorous energetic koala --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
alexiseeifl/blockassist-bc-fleecy_flapping_pigeon_1757542120
alexiseeifl
2025-09-10T22:08:48Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "fleecy flapping pigeon", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T22:08:45Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - fleecy flapping pigeon --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
neylanduoh/blockassist-bc-prehistoric_iridescent_puffin_1757542060
neylanduoh
2025-09-10T22:07:49Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "prehistoric iridescent puffin", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T22:07:46Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - prehistoric iridescent puffin --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
houselaidatfdolanjn/blockassist-bc-hulking_mottled_ox_1757542012
houselaidatfdolanjn
2025-09-10T22:07:27Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "hulking mottled ox", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T22:07:24Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - hulking mottled ox --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
gtallec-kog/Llama-3.2-1B-pruned-on-1-16-ARC-FT
gtallec-kog
2025-09-10T22:07:23Z
0
0
transformers
[ "transformers", "safetensors", "llama", "text-generation", "trl", "sft", "arxiv:1910.09700", "autotrain_compatible", "text-generation-inference", "endpoints_compatible", "region:us" ]
text-generation
2025-09-10T17:42:30Z
--- library_name: transformers tags: - trl - sft --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed]
othodinanursal/blockassist-bc-invisible_singing_snake_1757541977
othodinanursal
2025-09-10T22:06:34Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "tough subtle tortoise", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T22:06:30Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - tough subtle tortoise --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
stealths/blockassist
stealths
2025-09-10T22:05:38Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "skilled armored python", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T22:05:30Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - skilled armored python --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
arzaanshikder7562/blockassist-bc-darting_sniffing_rhino_1757541842
arzaanshikder7562
2025-09-10T22:04:10Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "darting sniffing rhino", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T22:04:07Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - darting sniffing rhino --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
zaimkibriya7859/blockassist-bc-exotic_soaring_beaver_1757541353
zaimkibriya7859
2025-09-10T21:56:02Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "exotic soaring beaver", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T21:55:59Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - exotic soaring beaver --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
pempekmangedd/blockassist-bc-patterned_sturdy_dolphin_1757539645
pempekmangedd
2025-09-10T21:52:10Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "patterned sturdy dolphin", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T21:52:05Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - patterned sturdy dolphin --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
phospho-app/MrC4t-ACT-BeadDataset2-gqbrg
phospho-app
2025-09-10T21:49:02Z
0
0
phosphobot
[ "phosphobot", "safetensors", "act", "robotics", "dataset:MrC4t/BeadDataset2", "region:us" ]
robotics
2025-09-10T20:54:20Z
--- datasets: MrC4t/BeadDataset2 library_name: phosphobot pipeline_tag: robotics model_name: act tags: - phosphobot - act task_categories: - robotics --- # act model - 🧪 phosphobot training pipeline - **Dataset**: [MrC4t/BeadDataset2](https://huggingface.co/datasets/MrC4t/BeadDataset2) - **Wandb run id**: None ## This model was trained using **[🧪phospho](https://phospho.ai)** Training was successful, try it out on your robot! ## Training parameters ```text { "batch_size": 40, "steps": 10000, "save_freq": 5000 } ``` 📖 **Get Started**: [docs.phospho.ai](https://docs.phospho.ai?utm_source=huggingface_readme) 🤖 **Get your robot**: [robots.phospho.ai](https://robots.phospho.ai?utm_source=huggingface_readme)
forkkyty/blockassist-bc-peaceful_crested_raven_1757540688
forkkyty
2025-09-10T21:45:13Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "peaceful crested raven", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T21:44:48Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - peaceful crested raven --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
rodrigoburgd/blockassist-bc-scruffy_untamed_hare_1757540454
rodrigoburgd
2025-09-10T21:41:02Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "unseen yawning chicken", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T21:40:59Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - unseen yawning chicken --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
najmanipa6/blockassist-bc-small_invisible_ant_1757540357
najmanipa6
2025-09-10T21:39:25Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "small invisible ant", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T21:39:22Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - small invisible ant --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
bah63843/blockassist-bc-plump_fast_antelope_1757540306
bah63843
2025-09-10T21:39:05Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "plump fast antelope", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T21:39:00Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - plump fast antelope --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
csjxbxsjcbckc/blockassist-bc-aquatic_tangled_mouse_1757539860
csjxbxsjcbckc
2025-09-10T21:31:08Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "aquatic tangled mouse", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T21:31:05Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - aquatic tangled mouse --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).
terrancejykn/blockassist-bc-colorful_curious_macaque_1757539854
terrancejykn
2025-09-10T21:31:04Z
0
0
null
[ "gensyn", "blockassist", "gensyn-blockassist", "minecraft", "colorful curious macaque", "arxiv:2504.07091", "region:us" ]
null
2025-09-10T21:31:00Z
--- tags: - gensyn - blockassist - gensyn-blockassist - minecraft - colorful curious macaque --- # Gensyn BlockAssist Gensyn's BlockAssist is a distributed extension of the paper [AssistanceZero: Scalably Solving Assistance Games](https://arxiv.org/abs/2504.07091).