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Update README.md

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Added IQ1_S, IQ2_XXS, IQ2_XS, IQ3_XXS, and IQ4_XS imatrix GGUF quants (20k_random_data/100 chunks)

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@@ -19,9 +19,9 @@ license: other
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  ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/6303ca537373aacccd85d8a7/vmCAhJCpF0dITtCVxlYET.jpeg)
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  - HF: wolfram/miquliz-120b-v2.0
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- - GGUF: [Q2_K | IQ3_XXS | Q4_K_M | Q5_K_M](https://huggingface.co/wolfram/miquliz-120b-v2.0-GGUF)
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- - [dranger003's IQ2_XS | IQ2_XXS | IQ3_XXS | Q8_0](https://huggingface.co/dranger003/miquliz-120b-v2.0-iMat.GGUF)
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- - [KnutJaegersberg's IQ2_XS](https://huggingface.co/KnutJaegersberg/2-bit-LLMs)
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  - [mradermacher's i1-IQ1_S – i1-Q5_K_M](https://huggingface.co/mradermacher/miquliz-120b-v2.0-i1-GGUF)
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  - [mradermacher's Q2_K – Q8_0](https://huggingface.co/mradermacher/miquliz-120b-v2.0-GGUF)
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  - EXL2: [2.4bpw](https://huggingface.co/wolfram/miquliz-120b-v2.0-2.4bpw-h6-exl2) | [2.65bpw](https://huggingface.co/wolfram/miquliz-120b-v2.0-2.65bpw-h6-exl2) | [3.0bpw](https://huggingface.co/wolfram/miquliz-120b-v2.0-3.0bpw-h6-exl2) | [3.5bpw](https://huggingface.co/wolfram/miquliz-120b-v2.0-3.5bpw-h6-exl2) | [4.0bpw](https://huggingface.co/wolfram/miquliz-120b-v2.0-4.0bpw-h6-exl2) | [5.0bpw](https://huggingface.co/wolfram/miquliz-120b-v2.0-5.0bpw-h6-exl2)
 
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  ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/6303ca537373aacccd85d8a7/vmCAhJCpF0dITtCVxlYET.jpeg)
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  - HF: wolfram/miquliz-120b-v2.0
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+ - GGUF: [IQ1_S* | IQ2_XXS* | IQ2_XS* | Q2_K | IQ3_XXS* | IQ3_XXS.old | IQ4_XS* | Q4_K_M | Q5_K_M](https://huggingface.co/wolfram/miquliz-120b-v2.0-GGUF) (*: imatrix=20k_random_data/100 chunks)
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+ - [dranger003's IQ2_XS | IQ2_XXS | IQ3_XXS | Q8_0](https://huggingface.co/dranger003/miquliz-120b-v2.0-iMat.GGUF) (imatrix=100K wiki.train.raw/200 chunks)
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+ - [KnutJaegersberg's IQ2_XS](https://huggingface.co/KnutJaegersberg/2-bit-LLMs) (imatrix=20k_random_data/100 chunks)
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  - [mradermacher's i1-IQ1_S – i1-Q5_K_M](https://huggingface.co/mradermacher/miquliz-120b-v2.0-i1-GGUF)
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  - [mradermacher's Q2_K – Q8_0](https://huggingface.co/mradermacher/miquliz-120b-v2.0-GGUF)
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  - EXL2: [2.4bpw](https://huggingface.co/wolfram/miquliz-120b-v2.0-2.4bpw-h6-exl2) | [2.65bpw](https://huggingface.co/wolfram/miquliz-120b-v2.0-2.65bpw-h6-exl2) | [3.0bpw](https://huggingface.co/wolfram/miquliz-120b-v2.0-3.0bpw-h6-exl2) | [3.5bpw](https://huggingface.co/wolfram/miquliz-120b-v2.0-3.5bpw-h6-exl2) | [4.0bpw](https://huggingface.co/wolfram/miquliz-120b-v2.0-4.0bpw-h6-exl2) | [5.0bpw](https://huggingface.co/wolfram/miquliz-120b-v2.0-5.0bpw-h6-exl2)