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sha256:cfbdfd21af3a1cc4469f19317352f20b68e50a94c778ba098c14f0a3c92d935e +size 1098727552 diff --git a/Qwen2-Math-1.5B-Instruct.i1-Q6_K.gguf b/Qwen2-Math-1.5B-Instruct.i1-Q6_K.gguf new file mode 100644 index 0000000..a57ab7c --- /dev/null +++ b/Qwen2-Math-1.5B-Instruct.i1-Q6_K.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:72953945cf7dabb3ed31a96cf87b23b0fd96819fe26b58300fd9e70d877910c6 +size 1272737920 diff --git a/README.md b/README.md new file mode 100644 index 0000000..98de3be --- /dev/null +++ b/README.md @@ -0,0 +1,78 @@ +--- +base_model: Qwen/Qwen2-Math-1.5B-Instruct +language: +- en +library_name: transformers +license: apache-2.0 +quantized_by: mradermacher +tags: +- chat +--- +## About + + + + + + +weighted/imatrix quants of https://huggingface.co/Qwen/Qwen2-Math-1.5B-Instruct + + +static quants are available at https://huggingface.co/mradermacher/Qwen2-Math-1.5B-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/Qwen2-Math-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2-Math-1.5B-Instruct.i1-IQ1_S.gguf) | i1-IQ1_S | 0.5 | for the desperate | +| [GGUF](https://huggingface.co/mradermacher/Qwen2-Math-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2-Math-1.5B-Instruct.i1-IQ1_M.gguf) | i1-IQ1_M | 0.6 | mostly desperate | +| [GGUF](https://huggingface.co/mradermacher/Qwen2-Math-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2-Math-1.5B-Instruct.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 0.6 | | +| [GGUF](https://huggingface.co/mradermacher/Qwen2-Math-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2-Math-1.5B-Instruct.i1-IQ2_XS.gguf) | i1-IQ2_XS | 0.7 | | +| [GGUF](https://huggingface.co/mradermacher/Qwen2-Math-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2-Math-1.5B-Instruct.i1-IQ2_S.gguf) | i1-IQ2_S | 0.7 | | +| [GGUF](https://huggingface.co/mradermacher/Qwen2-Math-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2-Math-1.5B-Instruct.i1-IQ2_M.gguf) | i1-IQ2_M | 0.7 | | +| [GGUF](https://huggingface.co/mradermacher/Qwen2-Math-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2-Math-1.5B-Instruct.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 0.8 | lower quality | +| [GGUF](https://huggingface.co/mradermacher/Qwen2-Math-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2-Math-1.5B-Instruct.i1-Q2_K.gguf) | i1-Q2_K | 0.8 | IQ3_XXS probably better | +| [GGUF](https://huggingface.co/mradermacher/Qwen2-Math-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2-Math-1.5B-Instruct.i1-IQ3_XS.gguf) | i1-IQ3_XS | 0.8 | | +| [GGUF](https://huggingface.co/mradermacher/Qwen2-Math-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2-Math-1.5B-Instruct.i1-Q3_K_S.gguf) | i1-Q3_K_S | 0.9 | IQ3_XS probably better | +| [GGUF](https://huggingface.co/mradermacher/Qwen2-Math-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2-Math-1.5B-Instruct.i1-IQ3_S.gguf) | i1-IQ3_S | 0.9 | beats Q3_K* | +| [GGUF](https://huggingface.co/mradermacher/Qwen2-Math-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2-Math-1.5B-Instruct.i1-IQ3_M.gguf) | i1-IQ3_M | 0.9 | | +| [GGUF](https://huggingface.co/mradermacher/Qwen2-Math-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2-Math-1.5B-Instruct.i1-Q3_K_M.gguf) | i1-Q3_K_M | 0.9 | IQ3_S probably better | +| [GGUF](https://huggingface.co/mradermacher/Qwen2-Math-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2-Math-1.5B-Instruct.i1-Q3_K_L.gguf) | i1-Q3_K_L | 1.0 | IQ3_M probably better | +| [GGUF](https://huggingface.co/mradermacher/Qwen2-Math-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2-Math-1.5B-Instruct.i1-IQ4_XS.gguf) | i1-IQ4_XS | 1.0 | | +| [GGUF](https://huggingface.co/mradermacher/Qwen2-Math-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2-Math-1.5B-Instruct.i1-Q4_0_4_4.gguf) | i1-Q4_0_4_4 | 1.0 | fast on arm, low quality | +| [GGUF](https://huggingface.co/mradermacher/Qwen2-Math-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2-Math-1.5B-Instruct.i1-Q4_0_4_8.gguf) | i1-Q4_0_4_8 | 1.0 | fast on arm+i8mm, low quality | +| [GGUF](https://huggingface.co/mradermacher/Qwen2-Math-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2-Math-1.5B-Instruct.i1-Q4_0_8_8.gguf) | i1-Q4_0_8_8 | 1.0 | fast on arm+sve, low quality | +| [GGUF](https://huggingface.co/mradermacher/Qwen2-Math-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2-Math-1.5B-Instruct.i1-Q4_0.gguf) | i1-Q4_0 | 1.0 | fast, low quality | +| [GGUF](https://huggingface.co/mradermacher/Qwen2-Math-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2-Math-1.5B-Instruct.i1-Q4_K_S.gguf) | i1-Q4_K_S | 1.0 | optimal size/speed/quality | +| [GGUF](https://huggingface.co/mradermacher/Qwen2-Math-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2-Math-1.5B-Instruct.i1-Q4_K_M.gguf) | i1-Q4_K_M | 1.1 | fast, recommended | +| [GGUF](https://huggingface.co/mradermacher/Qwen2-Math-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2-Math-1.5B-Instruct.i1-Q5_K_S.gguf) | i1-Q5_K_S | 1.2 | | +| [GGUF](https://huggingface.co/mradermacher/Qwen2-Math-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2-Math-1.5B-Instruct.i1-Q5_K_M.gguf) | i1-Q5_K_M | 1.2 | | +| [GGUF](https://huggingface.co/mradermacher/Qwen2-Math-1.5B-Instruct-i1-GGUF/resolve/main/Qwen2-Math-1.5B-Instruct.i1-Q6_K.gguf) | i1-Q6_K | 1.4 | 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. + + diff --git a/imatrix.dat b/imatrix.dat new file mode 100644 index 0000000..db3ad27 --- /dev/null +++ b/imatrix.dat @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d1e810cc62ddec94d772a8b022257002ad264120e2a142215d7779ff07fe59b2 +size 2042201