--- base_model: DavidAU/Qwen3-2x6B-TNG-Deckard-Alpha-12B-LH datasets: - DavidAU/TNG-ALL - DavidAU/PKD-all language: - en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - programming - code generation - code - coding - coder - chat - code - chat - brainstorm - qwen - qwen3 - qwencoder - brainstorm 20x - creative - all uses cases - Jan-V1 - horror - science fiction - fantasy - Star Trek - The Next Generation - TNG - Philip K. Dick - Deckard - finetune - thinking - reasoning - unsloth - moe - mixture of experts - merge --- ## About static quants of https://huggingface.co/DavidAU/Qwen3-2x6B-TNG-Deckard-Alpha-12B-LH ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Qwen3-2x6B-TNG-Deckard-Alpha-12B-LH-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen3-2x6B-TNG-Deckard-Alpha-12B-LH-i1-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/Qwen3-2x6B-TNG-Deckard-Alpha-12B-LH-GGUF/resolve/main/Qwen3-2x6B-TNG-Deckard-Alpha-12B-LH.Q2_K.gguf) | Q2_K | 4.1 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3-2x6B-TNG-Deckard-Alpha-12B-LH-GGUF/resolve/main/Qwen3-2x6B-TNG-Deckard-Alpha-12B-LH.Q3_K_S.gguf) | Q3_K_S | 4.7 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3-2x6B-TNG-Deckard-Alpha-12B-LH-GGUF/resolve/main/Qwen3-2x6B-TNG-Deckard-Alpha-12B-LH.Q3_K_M.gguf) | Q3_K_M | 5.2 | lower quality | | [GGUF](https://huggingface.co/mradermacher/Qwen3-2x6B-TNG-Deckard-Alpha-12B-LH-GGUF/resolve/main/Qwen3-2x6B-TNG-Deckard-Alpha-12B-LH.Q3_K_L.gguf) | Q3_K_L | 5.6 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3-2x6B-TNG-Deckard-Alpha-12B-LH-GGUF/resolve/main/Qwen3-2x6B-TNG-Deckard-Alpha-12B-LH.IQ4_XS.gguf) | IQ4_XS | 5.8 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3-2x6B-TNG-Deckard-Alpha-12B-LH-GGUF/resolve/main/Qwen3-2x6B-TNG-Deckard-Alpha-12B-LH.Q4_K_S.gguf) | Q4_K_S | 6.1 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/Qwen3-2x6B-TNG-Deckard-Alpha-12B-LH-GGUF/resolve/main/Qwen3-2x6B-TNG-Deckard-Alpha-12B-LH.Q4_K_M.gguf) | Q4_K_M | 6.4 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/Qwen3-2x6B-TNG-Deckard-Alpha-12B-LH-GGUF/resolve/main/Qwen3-2x6B-TNG-Deckard-Alpha-12B-LH.Q5_K_S.gguf) | Q5_K_S | 7.3 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3-2x6B-TNG-Deckard-Alpha-12B-LH-GGUF/resolve/main/Qwen3-2x6B-TNG-Deckard-Alpha-12B-LH.Q5_K_M.gguf) | Q5_K_M | 7.5 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3-2x6B-TNG-Deckard-Alpha-12B-LH-GGUF/resolve/main/Qwen3-2x6B-TNG-Deckard-Alpha-12B-LH.Q6_K.gguf) | Q6_K | 8.7 | very good quality | | [GGUF](https://huggingface.co/mradermacher/Qwen3-2x6B-TNG-Deckard-Alpha-12B-LH-GGUF/resolve/main/Qwen3-2x6B-TNG-Deckard-Alpha-12B-LH.Q8_0.gguf) | Q8_0 | 11.2 | fast, best quality | | [GGUF](https://huggingface.co/mradermacher/Qwen3-2x6B-TNG-Deckard-Alpha-12B-LH-GGUF/resolve/main/Qwen3-2x6B-TNG-Deckard-Alpha-12B-LH.f16.gguf) | f16 | 21.0 | 16 bpw, overkill | 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.