commit a85d6a43aebece2e3f0b956f33ac7748562daf44 Author: ModelHub XC Date: Mon Jun 15 08:40:17 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: mradermacher/Mathstral-7B-v0.1-GGUF Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..492a4e6 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,51 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text 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transformers +license: apache-2.0 +mradermacher: + readme_rev: 1 +quantized_by: mradermacher +tags: +- vllm +--- +## About + + + + + + +static quants of https://huggingface.co/mistralai/Mathstral-7B-v0.1 + + + +***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Mathstral-7B-v0.1-GGUF).*** + +weighted/imatrix quants are available at https://huggingface.co/mradermacher/Mathstral-7B-v0.1-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/Mathstral-7B-v0.1-GGUF/resolve/main/Mathstral-7B-v0.1.IQ3_XS.gguf) | IQ3_XS | 3.1 | | +| [GGUF](https://huggingface.co/mradermacher/Mathstral-7B-v0.1-GGUF/resolve/main/Mathstral-7B-v0.1.IQ3_S.gguf) | IQ3_S | 3.3 | beats Q3_K* | +| [GGUF](https://huggingface.co/mradermacher/Mathstral-7B-v0.1-GGUF/resolve/main/Mathstral-7B-v0.1.IQ3_M.gguf) | IQ3_M | 3.4 | | +| [GGUF](https://huggingface.co/mradermacher/Mathstral-7B-v0.1-GGUF/resolve/main/mathstral-7B-v0.1.Q4_0_4_4.gguf) | Q4_0_4_4 | 4.2 | fast on arm, low quality | +| [PART 1](https://huggingface.co/mradermacher/Mathstral-7B-v0.1-GGUF/resolve/main/Mathstral-7B-v0.1.Q2_K.gguf) [PART 2](https://huggingface.co/mradermacher/Mathstral-7B-v0.1-GGUF/resolve/main/mathstral-7B-v0.1.Q2_K.gguf) | Q2_K | 5.5 | | +| [PART 1](https://huggingface.co/mradermacher/Mathstral-7B-v0.1-GGUF/resolve/main/Mathstral-7B-v0.1.Q3_K_S.gguf) [PART 2](https://huggingface.co/mradermacher/Mathstral-7B-v0.1-GGUF/resolve/main/mathstral-7B-v0.1.Q3_K_S.gguf) | Q3_K_S | 6.4 | | +| [PART 1](https://huggingface.co/mradermacher/Mathstral-7B-v0.1-GGUF/resolve/main/Mathstral-7B-v0.1.Q3_K_M.gguf) [PART 2](https://huggingface.co/mradermacher/Mathstral-7B-v0.1-GGUF/resolve/main/mathstral-7B-v0.1.Q3_K_M.gguf) | Q3_K_M | 7.1 | lower quality | +| [PART 1](https://huggingface.co/mradermacher/Mathstral-7B-v0.1-GGUF/resolve/main/Mathstral-7B-v0.1.Q3_K_L.gguf) [PART 2](https://huggingface.co/mradermacher/Mathstral-7B-v0.1-GGUF/resolve/main/mathstral-7B-v0.1.Q3_K_L.gguf) | Q3_K_L | 7.8 | | +| [PART 1](https://huggingface.co/mradermacher/Mathstral-7B-v0.1-GGUF/resolve/main/Mathstral-7B-v0.1.IQ4_XS.gguf) [PART 2](https://huggingface.co/mradermacher/Mathstral-7B-v0.1-GGUF/resolve/main/mathstral-7B-v0.1.IQ4_XS.gguf) | IQ4_XS | 8.0 | | +| [PART 1](https://huggingface.co/mradermacher/Mathstral-7B-v0.1-GGUF/resolve/main/Mathstral-7B-v0.1.Q4_K_S.gguf) [PART 2](https://huggingface.co/mradermacher/Mathstral-7B-v0.1-GGUF/resolve/main/mathstral-7B-v0.1.Q4_K_S.gguf) | Q4_K_S | 8.4 | fast, recommended | +| [PART 1](https://huggingface.co/mradermacher/Mathstral-7B-v0.1-GGUF/resolve/main/Mathstral-7B-v0.1.Q4_K_M.gguf) [PART 2](https://huggingface.co/mradermacher/Mathstral-7B-v0.1-GGUF/resolve/main/mathstral-7B-v0.1.Q4_K_M.gguf) | Q4_K_M | 8.8 | fast, recommended | +| [PART 1](https://huggingface.co/mradermacher/Mathstral-7B-v0.1-GGUF/resolve/main/Mathstral-7B-v0.1.Q5_K_S.gguf) [PART 2](https://huggingface.co/mradermacher/Mathstral-7B-v0.1-GGUF/resolve/main/mathstral-7B-v0.1.Q5_K_S.gguf) | Q5_K_S | 10.1 | | +| [PART 1](https://huggingface.co/mradermacher/Mathstral-7B-v0.1-GGUF/resolve/main/Mathstral-7B-v0.1.Q5_K_M.gguf) [PART 2](https://huggingface.co/mradermacher/Mathstral-7B-v0.1-GGUF/resolve/main/mathstral-7B-v0.1.Q5_K_M.gguf) | Q5_K_M | 10.4 | | +| [PART 1](https://huggingface.co/mradermacher/Mathstral-7B-v0.1-GGUF/resolve/main/Mathstral-7B-v0.1.Q6_K.gguf) [PART 2](https://huggingface.co/mradermacher/Mathstral-7B-v0.1-GGUF/resolve/main/mathstral-7B-v0.1.Q6_K.gguf) | Q6_K | 12.0 | very good quality | +| [PART 1](https://huggingface.co/mradermacher/Mathstral-7B-v0.1-GGUF/resolve/main/Mathstral-7B-v0.1.Q8_0.gguf) [PART 2](https://huggingface.co/mradermacher/Mathstral-7B-v0.1-GGUF/resolve/main/mathstral-7B-v0.1.Q8_0.gguf) | Q8_0 | 15.5 | fast, best quality | +| [PART 1](https://huggingface.co/mradermacher/Mathstral-7B-v0.1-GGUF/resolve/main/Mathstral-7B-v0.1.f16.gguf) [PART 2](https://huggingface.co/mradermacher/Mathstral-7B-v0.1-GGUF/resolve/main/mathstral-7B-v0.1.f16.gguf) | f16 | 29.1 | 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. + + diff --git a/mathstral-7B-v0.1.IQ4_XS.gguf b/mathstral-7B-v0.1.IQ4_XS.gguf new file mode 100644 index 0000000..c29fea0 --- /dev/null +++ b/mathstral-7B-v0.1.IQ4_XS.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7df7f157809c6bb2eebebfea4612c4f20f58fc6e345ca0bc975a6e4f64438430 +size 3948664096 diff --git a/mathstral-7B-v0.1.Q2_K.gguf b/mathstral-7B-v0.1.Q2_K.gguf new file mode 100644 index 0000000..7794281 --- /dev/null +++ b/mathstral-7B-v0.1.Q2_K.gguf @@ -0,0 +1,3 @@ +version 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