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--- |
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base_model: PJMixers-Dev/Gemma-3-Earthen-v0.2-4B |
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datasets: |
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- BeaverAI/REDACTED1 |
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- BeaverAI/REDACTED2 |
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- BeaverAI/REDACTED3 |
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- BeaverAI/REDACTED4 |
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- PJMixers-Dev/Lit-axo-Shuffled |
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- PJMixers-Dev/Mielikki_Erebus-87k-axo |
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- PJMixers/RyokoAI_Honeyfeed3600-Cleanish |
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- PJMixers-Dev/allura-org_fujin-cleaned-stage-2-axo |
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- Nelathan/synthetic-sugar-quill |
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- PJMixers-Dev/winglian_visual-novels-json-axo |
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- PJMixers-Dev/recursal_SCP-RECURSAL-Cleaned |
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- PJMixers-Dev/Subtitles |
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- PJMixers-Dev/KaraKaraWitch_AnimeSubtitle-axo |
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- PJMixers-Dev/Fundus-105K-Formatted |
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- PJMixers-Dev/Fundus-AP-News-Formatted |
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- PJMixers/AP-News-2024 |
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- PJMixers-Dev/goodwiki-2024-12-04-axo |
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- epfl-llm/guidelines |
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- PJMixers-Dev/Gryphe-Aesir-RPG-Charcards-Opus-Mixed |
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- allura-org/gryphe-sonnet-3.5-charcards-names-added |
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- anthracite-org/c2_logs_32k_llama3_qwen2_v1.3 |
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- PJMixers-Dev/MinervaAI_Aesir-Preview-Anon |
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- PJMixers-Dev/lemonilia_LimaRP-Simple-CustomShareGPT-Shuffled |
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- Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned |
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- PJMixers-Dev/NyxKrage_chub-logs-sharegpt-longest-CustomShareGPT |
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- PJMixers/OpenLeecher_Teatime_all_logs_longest-ShareGPT |
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- grimulkan/aicg-logs-augmented |
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- grimulkan/PIPPA-augmented-dedup |
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- PJMixers/grimulkan_bluemoon_Karen_cleaned-carded-formatted |
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- PJMixers/lodrick-the-lafted_OpusStories-ShareGPT |
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- Gryphe/ChatGPT-4o-Writing-Prompts |
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- Gryphe/Opus-WritingPrompts |
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- anthracite-org/nopm_claude_writing_fixed |
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- PJMixers-Dev/Tiefighter-13B-Fake-Distill-ShareGPT |
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- allura-org/fujin-instruct-v2 |
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- PocketDoc/Dans-Prosemaxx-Adventure |
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- PocketDoc/Dans-Failuremaxx-Adventure-3 |
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language: |
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- en |
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library_name: transformers |
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license: gemma |
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mradermacher: |
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readme_rev: 1 |
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quantized_by: mradermacher |
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--- |
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## About |
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<!-- ### quantize_version: 2 --> |
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<!-- ### output_tensor_quantised: 1 --> |
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<!-- ### convert_type: hf --> |
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<!-- ### vocab_type: --> |
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<!-- ### tags: --> |
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static quants of https://huggingface.co/PJMixers-Dev/Gemma-3-Earthen-v0.2-4B |
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<!-- provided-files --> |
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***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Gemma-3-Earthen-v0.2-4B-GGUF).*** |
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weighted/imatrix quants are available at https://huggingface.co/mradermacher/Gemma-3-Earthen-v0.2-4B-i1-GGUF |
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## Usage |
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If you are unsure how to use GGUF files, refer to one of [TheBloke's |
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READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for |
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more details, including on how to concatenate multi-part files. |
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## Provided Quants |
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(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants) |
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| Link | Type | Size/GB | Notes | |
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|:-----|:-----|--------:|:------| |
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| [GGUF](https://huggingface.co/mradermacher/Gemma-3-Earthen-v0.2-4B-GGUF/resolve/main/Gemma-3-Earthen-v0.2-4B.mmproj-Q8_0.gguf) | mmproj-Q8_0 | 0.7 | multi-modal supplement | |
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| [GGUF](https://huggingface.co/mradermacher/Gemma-3-Earthen-v0.2-4B-GGUF/resolve/main/Gemma-3-Earthen-v0.2-4B.mmproj-f16.gguf) | mmproj-f16 | 1.0 | multi-modal supplement | |
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| [GGUF](https://huggingface.co/mradermacher/Gemma-3-Earthen-v0.2-4B-GGUF/resolve/main/Gemma-3-Earthen-v0.2-4B.Q2_K.gguf) | Q2_K | 1.8 | | |
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| [GGUF](https://huggingface.co/mradermacher/Gemma-3-Earthen-v0.2-4B-GGUF/resolve/main/Gemma-3-Earthen-v0.2-4B.Q3_K_S.gguf) | Q3_K_S | 2.0 | | |
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| [GGUF](https://huggingface.co/mradermacher/Gemma-3-Earthen-v0.2-4B-GGUF/resolve/main/Gemma-3-Earthen-v0.2-4B.Q3_K_M.gguf) | Q3_K_M | 2.2 | lower quality | |
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| [GGUF](https://huggingface.co/mradermacher/Gemma-3-Earthen-v0.2-4B-GGUF/resolve/main/Gemma-3-Earthen-v0.2-4B.Q3_K_L.gguf) | Q3_K_L | 2.3 | | |
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| [GGUF](https://huggingface.co/mradermacher/Gemma-3-Earthen-v0.2-4B-GGUF/resolve/main/Gemma-3-Earthen-v0.2-4B.IQ4_XS.gguf) | IQ4_XS | 2.4 | | |
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| [GGUF](https://huggingface.co/mradermacher/Gemma-3-Earthen-v0.2-4B-GGUF/resolve/main/Gemma-3-Earthen-v0.2-4B.Q4_K_S.gguf) | Q4_K_S | 2.5 | fast, recommended | |
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| [GGUF](https://huggingface.co/mradermacher/Gemma-3-Earthen-v0.2-4B-GGUF/resolve/main/Gemma-3-Earthen-v0.2-4B.Q4_K_M.gguf) | Q4_K_M | 2.6 | fast, recommended | |
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| [GGUF](https://huggingface.co/mradermacher/Gemma-3-Earthen-v0.2-4B-GGUF/resolve/main/Gemma-3-Earthen-v0.2-4B.Q5_K_S.gguf) | Q5_K_S | 2.9 | | |
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| [GGUF](https://huggingface.co/mradermacher/Gemma-3-Earthen-v0.2-4B-GGUF/resolve/main/Gemma-3-Earthen-v0.2-4B.Q5_K_M.gguf) | Q5_K_M | 2.9 | | |
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| [GGUF](https://huggingface.co/mradermacher/Gemma-3-Earthen-v0.2-4B-GGUF/resolve/main/Gemma-3-Earthen-v0.2-4B.Q6_K.gguf) | Q6_K | 3.3 | very good quality | |
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| [GGUF](https://huggingface.co/mradermacher/Gemma-3-Earthen-v0.2-4B-GGUF/resolve/main/Gemma-3-Earthen-v0.2-4B.Q8_0.gguf) | Q8_0 | 4.2 | fast, best quality | |
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| [GGUF](https://huggingface.co/mradermacher/Gemma-3-Earthen-v0.2-4B-GGUF/resolve/main/Gemma-3-Earthen-v0.2-4B.f16.gguf) | f16 | 7.9 | 16 bpw, overkill | |
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Here is a handy graph by ikawrakow comparing some lower-quality quant |
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types (lower is better): |
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And here are Artefact2's thoughts on the matter: |
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https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9 |
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## FAQ / Model Request |
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See https://huggingface.co/mradermacher/model_requests for some answers to |
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questions you might have and/or if you want some other model quantized. |
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## Thanks |
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I thank my company, [nethype GmbH](https://www.nethype.de/), for letting |
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me use its servers and providing upgrades to my workstation to enable |
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this work in my free time. |
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<!-- end --> |
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