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sha256:b3cf39f82b0c8b66e6c3ed2bd623d878b692443047150dd648c3214697a676f6 +size 25091630208 diff --git a/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct.imatrix.gguf b/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct.imatrix.gguf new file mode 100644 index 0000000..f798da6 --- /dev/null +++ b/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct.imatrix.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f27c4124229d6a49d9bb369658d513d4df109a1240cb9ff2aa4c143d5902e380 +size 122029312 diff --git a/README.md b/README.md new file mode 100644 index 0000000..e03281f --- /dev/null +++ b/README.md @@ -0,0 +1,97 @@ +--- +base_model: DavidAU/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct +datasets: +- TeichAI/glm-4.7-350x +language: +- en +library_name: transformers +license: apache-2.0 +mradermacher: + readme_rev: 1 +quantized_by: mradermacher +tags: +- finetune +- unsloth +- claude-4.5-opus +- reasoning +- thinking +- distill-fine-tune +- moe +- 128 experts +- 256k context +- mixture of experts +--- +## About + + + + + + + + + +weighted/imatrix quants of https://huggingface.co/DavidAU/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct + + + +***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct-i1-GGUF).*** + +static quants are available at https://huggingface.co/mradermacher/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct-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/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct-i1-GGUF/resolve/main/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct.imatrix.gguf) | imatrix | 0.2 | imatrix file (for creating your own quants) | +| [GGUF](https://huggingface.co/mradermacher/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct-i1-GGUF/resolve/main/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct.i1-IQ1_S.gguf) | i1-IQ1_S | 6.5 | for the desperate | +| [GGUF](https://huggingface.co/mradermacher/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct-i1-GGUF/resolve/main/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct.i1-IQ1_M.gguf) | i1-IQ1_M | 7.2 | mostly desperate | +| [GGUF](https://huggingface.co/mradermacher/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct-i1-GGUF/resolve/main/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 8.3 | | +| [GGUF](https://huggingface.co/mradermacher/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct-i1-GGUF/resolve/main/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct.i1-IQ2_XS.gguf) | i1-IQ2_XS | 9.2 | | +| [GGUF](https://huggingface.co/mradermacher/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct-i1-GGUF/resolve/main/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct.i1-IQ2_S.gguf) | i1-IQ2_S | 9.4 | | +| [GGUF](https://huggingface.co/mradermacher/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct-i1-GGUF/resolve/main/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct.i1-IQ2_M.gguf) | i1-IQ2_M | 10.3 | | +| [GGUF](https://huggingface.co/mradermacher/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct-i1-GGUF/resolve/main/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct.i1-Q2_K_S.gguf) | i1-Q2_K_S | 10.6 | very low quality | +| [GGUF](https://huggingface.co/mradermacher/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct-i1-GGUF/resolve/main/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct.i1-Q2_K.gguf) | i1-Q2_K | 11.4 | IQ3_XXS probably better | +| [GGUF](https://huggingface.co/mradermacher/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct-i1-GGUF/resolve/main/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 11.9 | lower quality | +| [GGUF](https://huggingface.co/mradermacher/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct-i1-GGUF/resolve/main/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct.i1-IQ3_XS.gguf) | i1-IQ3_XS | 12.7 | | +| [GGUF](https://huggingface.co/mradermacher/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct-i1-GGUF/resolve/main/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct.i1-Q3_K_S.gguf) | i1-Q3_K_S | 13.4 | IQ3_XS probably better | +| [GGUF](https://huggingface.co/mradermacher/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct-i1-GGUF/resolve/main/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct.i1-IQ3_S.gguf) | i1-IQ3_S | 13.4 | beats Q3_K* | +| [GGUF](https://huggingface.co/mradermacher/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct-i1-GGUF/resolve/main/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct.i1-IQ3_M.gguf) | i1-IQ3_M | 13.6 | | +| [GGUF](https://huggingface.co/mradermacher/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct-i1-GGUF/resolve/main/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct.i1-Q3_K_M.gguf) | i1-Q3_K_M | 14.8 | IQ3_S probably better | +| [GGUF](https://huggingface.co/mradermacher/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct-i1-GGUF/resolve/main/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct.i1-Q3_K_L.gguf) | i1-Q3_K_L | 16.0 | IQ3_M probably better | +| [GGUF](https://huggingface.co/mradermacher/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct-i1-GGUF/resolve/main/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct.i1-IQ4_XS.gguf) | i1-IQ4_XS | 16.5 | | +| [GGUF](https://huggingface.co/mradermacher/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct-i1-GGUF/resolve/main/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct.i1-Q4_0.gguf) | i1-Q4_0 | 17.5 | fast, low quality | +| [GGUF](https://huggingface.co/mradermacher/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct-i1-GGUF/resolve/main/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct.i1-Q4_K_S.gguf) | i1-Q4_K_S | 17.6 | optimal size/speed/quality | +| [GGUF](https://huggingface.co/mradermacher/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct-i1-GGUF/resolve/main/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct.i1-Q4_K_M.gguf) | i1-Q4_K_M | 18.7 | fast, recommended | +| [GGUF](https://huggingface.co/mradermacher/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct-i1-GGUF/resolve/main/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct.i1-Q4_1.gguf) | i1-Q4_1 | 19.3 | | +| [GGUF](https://huggingface.co/mradermacher/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct-i1-GGUF/resolve/main/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct.i1-Q5_K_S.gguf) | i1-Q5_K_S | 21.2 | | +| [GGUF](https://huggingface.co/mradermacher/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct-i1-GGUF/resolve/main/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct.i1-Q5_K_M.gguf) | i1-Q5_K_M | 21.8 | | +| [GGUF](https://huggingface.co/mradermacher/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct-i1-GGUF/resolve/main/Qwen3-30B-A3B-YOYO-V2-GLM-4.7-Flash-Instruct.i1-Q6_K.gguf) | i1-Q6_K | 25.2 | 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. + +