--- base_model: DavidAU/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-1million-ctx language: - en - fr - zh - de library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - programming - code generation - code - codeqwen - programming - code generation - code - codeqwen - moe - coding - coder - qwen2 - chat - qwen - qwen-coder - chat - qwen - qwen-coder - moe - Qwen3-Coder-30B-A3B-Instruct - Qwen3-30B-A3B - mixture of experts - 128 experts - 8 active experts - 1000k context - 1 million context - qwen3 - finetune - brainstorm 20x - brainstorm - optional thinking - qwen3_moe --- ## About static quants of https://huggingface.co/DavidAU/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-1million-ctx ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-1million-ctx-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-1million-ctx-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-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-1million-ctx-GGUF/resolve/main/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-1million-ctx.Q2_K.gguf) | Q2_K | 15.7 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-1million-ctx-GGUF/resolve/main/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-1million-ctx.Q3_K_S.gguf) | Q3_K_S | 18.5 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-1million-ctx-GGUF/resolve/main/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-1million-ctx.Q3_K_M.gguf) | Q3_K_M | 20.5 | lower quality | | [GGUF](https://huggingface.co/mradermacher/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-1million-ctx-GGUF/resolve/main/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-1million-ctx.Q3_K_L.gguf) | Q3_K_L | 22.1 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-1million-ctx-GGUF/resolve/main/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-1million-ctx.IQ4_XS.gguf) | IQ4_XS | 23.0 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-1million-ctx-GGUF/resolve/main/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-1million-ctx.Q4_K_S.gguf) | Q4_K_S | 24.3 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-1million-ctx-GGUF/resolve/main/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-1million-ctx.Q4_K_M.gguf) | Q4_K_M | 25.8 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-1million-ctx-GGUF/resolve/main/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-1million-ctx.Q5_K_S.gguf) | Q5_K_S | 29.3 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-1million-ctx-GGUF/resolve/main/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-1million-ctx.Q5_K_M.gguf) | Q5_K_M | 30.2 | | | [GGUF](https://huggingface.co/mradermacher/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-1million-ctx-GGUF/resolve/main/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-1million-ctx.Q6_K.gguf) | Q6_K | 34.9 | very good quality | | [GGUF](https://huggingface.co/mradermacher/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-1million-ctx-GGUF/resolve/main/Qwen3-Coder-42B-A3B-Instruct-TOTAL-RECALL-MASTER-CODER-M-1million-ctx.Q8_0.gguf) | Q8_0 | 45.2 | fast, best quality | 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.