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--git a/LocalAI-functioncall-phi-4-v0.2.i1-Q6_K.gguf b/LocalAI-functioncall-phi-4-v0.2.i1-Q6_K.gguf new file mode 100644 index 0000000..f6140fa --- /dev/null +++ b/LocalAI-functioncall-phi-4-v0.2.i1-Q6_K.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0b4d4e07eedfea999f6a66d9c2ca9310a3b6f1c93843b708433ddca2fd7f48bc +size 12030260128 diff --git a/README.md b/README.md new file mode 100644 index 0000000..a3eb17f --- /dev/null +++ b/README.md @@ -0,0 +1,87 @@ +--- +base_model: mudler/LocalAI-functioncall-phi-4-v0.2 +datasets: +- mudler/glaive-unsloth-localai +- mudler/o1-unsloth +- mlabonne/FineTome-100k +language: +- en +library_name: transformers +license: apache-2.0 +quantized_by: mradermacher +tags: +- text-generation-inference +- transformers +- unsloth +- llama +- trl +- sft +--- +## About + + + + + + +weighted/imatrix quants of https://huggingface.co/mudler/LocalAI-functioncall-phi-4-v0.2 + + +static quants are available at https://huggingface.co/mradermacher/LocalAI-functioncall-phi-4-v0.2-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/LocalAI-functioncall-phi-4-v0.2-i1-GGUF/resolve/main/LocalAI-functioncall-phi-4-v0.2.i1-IQ1_S.gguf) | i1-IQ1_S | 3.5 | for the desperate | +| [GGUF](https://huggingface.co/mradermacher/LocalAI-functioncall-phi-4-v0.2-i1-GGUF/resolve/main/LocalAI-functioncall-phi-4-v0.2.i1-IQ1_M.gguf) | i1-IQ1_M | 3.8 | mostly desperate | +| [GGUF](https://huggingface.co/mradermacher/LocalAI-functioncall-phi-4-v0.2-i1-GGUF/resolve/main/LocalAI-functioncall-phi-4-v0.2.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 4.3 | | +| [GGUF](https://huggingface.co/mradermacher/LocalAI-functioncall-phi-4-v0.2-i1-GGUF/resolve/main/LocalAI-functioncall-phi-4-v0.2.i1-IQ2_XS.gguf) | i1-IQ2_XS | 4.7 | | +| [GGUF](https://huggingface.co/mradermacher/LocalAI-functioncall-phi-4-v0.2-i1-GGUF/resolve/main/LocalAI-functioncall-phi-4-v0.2.i1-IQ2_S.gguf) | i1-IQ2_S | 4.9 | | +| [GGUF](https://huggingface.co/mradermacher/LocalAI-functioncall-phi-4-v0.2-i1-GGUF/resolve/main/LocalAI-functioncall-phi-4-v0.2.i1-IQ2_M.gguf) | i1-IQ2_M | 5.3 | | +| [GGUF](https://huggingface.co/mradermacher/LocalAI-functioncall-phi-4-v0.2-i1-GGUF/resolve/main/LocalAI-functioncall-phi-4-v0.2.i1-Q2_K_S.gguf) | i1-Q2_K_S | 5.3 | very low quality | +| [GGUF](https://huggingface.co/mradermacher/LocalAI-functioncall-phi-4-v0.2-i1-GGUF/resolve/main/LocalAI-functioncall-phi-4-v0.2.i1-Q2_K.gguf) | i1-Q2_K | 5.7 | IQ3_XXS probably better | +| [GGUF](https://huggingface.co/mradermacher/LocalAI-functioncall-phi-4-v0.2-i1-GGUF/resolve/main/LocalAI-functioncall-phi-4-v0.2.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 5.9 | lower quality | +| [GGUF](https://huggingface.co/mradermacher/LocalAI-functioncall-phi-4-v0.2-i1-GGUF/resolve/main/LocalAI-functioncall-phi-4-v0.2.i1-IQ3_XS.gguf) | i1-IQ3_XS | 6.3 | | +| [GGUF](https://huggingface.co/mradermacher/LocalAI-functioncall-phi-4-v0.2-i1-GGUF/resolve/main/LocalAI-functioncall-phi-4-v0.2.i1-Q3_K_S.gguf) | i1-Q3_K_S | 6.6 | IQ3_XS probably better | +| [GGUF](https://huggingface.co/mradermacher/LocalAI-functioncall-phi-4-v0.2-i1-GGUF/resolve/main/LocalAI-functioncall-phi-4-v0.2.i1-IQ3_S.gguf) | i1-IQ3_S | 6.6 | beats Q3_K* | +| [GGUF](https://huggingface.co/mradermacher/LocalAI-functioncall-phi-4-v0.2-i1-GGUF/resolve/main/LocalAI-functioncall-phi-4-v0.2.i1-IQ3_M.gguf) | i1-IQ3_M | 6.8 | | +| [GGUF](https://huggingface.co/mradermacher/LocalAI-functioncall-phi-4-v0.2-i1-GGUF/resolve/main/LocalAI-functioncall-phi-4-v0.2.i1-Q3_K_M.gguf) | i1-Q3_K_M | 7.3 | IQ3_S probably better | +| [GGUF](https://huggingface.co/mradermacher/LocalAI-functioncall-phi-4-v0.2-i1-GGUF/resolve/main/LocalAI-functioncall-phi-4-v0.2.i1-Q3_K_L.gguf) | i1-Q3_K_L | 7.9 | IQ3_M probably better | +| [GGUF](https://huggingface.co/mradermacher/LocalAI-functioncall-phi-4-v0.2-i1-GGUF/resolve/main/LocalAI-functioncall-phi-4-v0.2.i1-IQ4_XS.gguf) | i1-IQ4_XS | 8.1 | | +| [GGUF](https://huggingface.co/mradermacher/LocalAI-functioncall-phi-4-v0.2-i1-GGUF/resolve/main/LocalAI-functioncall-phi-4-v0.2.i1-Q4_0.gguf) | i1-Q4_0 | 8.5 | fast, low quality | +| [GGUF](https://huggingface.co/mradermacher/LocalAI-functioncall-phi-4-v0.2-i1-GGUF/resolve/main/LocalAI-functioncall-phi-4-v0.2.i1-IQ4_NL.gguf) | i1-IQ4_NL | 8.5 | prefer IQ4_XS | +| [GGUF](https://huggingface.co/mradermacher/LocalAI-functioncall-phi-4-v0.2-i1-GGUF/resolve/main/LocalAI-functioncall-phi-4-v0.2.i1-Q4_K_S.gguf) | i1-Q4_K_S | 8.5 | optimal size/speed/quality | +| [GGUF](https://huggingface.co/mradermacher/LocalAI-functioncall-phi-4-v0.2-i1-GGUF/resolve/main/LocalAI-functioncall-phi-4-v0.2.i1-Q4_K_M.gguf) | i1-Q4_K_M | 9.0 | fast, recommended | +| [GGUF](https://huggingface.co/mradermacher/LocalAI-functioncall-phi-4-v0.2-i1-GGUF/resolve/main/LocalAI-functioncall-phi-4-v0.2.i1-Q4_1.gguf) | i1-Q4_1 | 9.4 | | +| [GGUF](https://huggingface.co/mradermacher/LocalAI-functioncall-phi-4-v0.2-i1-GGUF/resolve/main/LocalAI-functioncall-phi-4-v0.2.i1-Q5_K_S.gguf) | i1-Q5_K_S | 10.3 | | +| [GGUF](https://huggingface.co/mradermacher/LocalAI-functioncall-phi-4-v0.2-i1-GGUF/resolve/main/LocalAI-functioncall-phi-4-v0.2.i1-Q5_K_M.gguf) | i1-Q5_K_M | 10.5 | | +| [GGUF](https://huggingface.co/mradermacher/LocalAI-functioncall-phi-4-v0.2-i1-GGUF/resolve/main/LocalAI-functioncall-phi-4-v0.2.i1-Q6_K.gguf) | i1-Q6_K | 12.1 | 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..3cebfc1 --- /dev/null +++ b/imatrix.dat @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:feab15b44da0d2068f603db5f0f185f8af41d8d13acb4cf75e29676c2ae8e216 +size 7791685