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mradermacher
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iris-7b-GGUF

Transformers
GGUF
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Korean
finetuned
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@@ -2,6 +2,7 @@
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  base_model: davidkim205/iris-7b
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  language:
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  - en
 
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  library_name: transformers
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  license: apache-2.0
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  quantized_by: mradermacher
@@ -36,14 +37,13 @@ more details, including on how to concatenate multi-part files.
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  | [GGUF](https://huggingface.co/mradermacher/iris-7b-GGUF/resolve/main/iris-7b.IQ4_XS.gguf) | IQ4_XS | 4.2 | |
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  | [GGUF](https://huggingface.co/mradermacher/iris-7b-GGUF/resolve/main/iris-7b.Q4_0.gguf) | Q4_0 | 4.4 | fast, low quality |
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  | [GGUF](https://huggingface.co/mradermacher/iris-7b-GGUF/resolve/main/iris-7b.Q4_K_S.gguf) | Q4_K_S | 4.4 | fast, recommended |
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- | [GGUF](https://huggingface.co/mradermacher/iris-7b-GGUF/resolve/main/iris-7b.IQ4_NL.gguf) | IQ4_NL | 4.4 | slightly worse than Q4_K_S |
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  | [GGUF](https://huggingface.co/mradermacher/iris-7b-GGUF/resolve/main/iris-7b.Q4_K_M.gguf) | Q4_K_M | 4.6 | fast, recommended |
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  | [GGUF](https://huggingface.co/mradermacher/iris-7b-GGUF/resolve/main/iris-7b.Q5_K_S.gguf) | Q5_K_S | 5.3 | |
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  | [GGUF](https://huggingface.co/mradermacher/iris-7b-GGUF/resolve/main/iris-7b.Q5_K_M.gguf) | Q5_K_M | 5.4 | |
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  | [GGUF](https://huggingface.co/mradermacher/iris-7b-GGUF/resolve/main/iris-7b.Q6_K.gguf) | Q6_K | 6.2 | very good quality |
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  | [GGUF](https://huggingface.co/mradermacher/iris-7b-GGUF/resolve/main/iris-7b.Q8_0.gguf) | Q8_0 | 7.9 | fast, best quality |
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-
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  Here is a handy graph by ikawrakow comparing some lower-quality quant
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  types (lower is better):
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  base_model: davidkim205/iris-7b
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  language:
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  - en
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+ - ko
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  library_name: transformers
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  license: apache-2.0
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  quantized_by: mradermacher
 
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  | [GGUF](https://huggingface.co/mradermacher/iris-7b-GGUF/resolve/main/iris-7b.IQ4_XS.gguf) | IQ4_XS | 4.2 | |
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  | [GGUF](https://huggingface.co/mradermacher/iris-7b-GGUF/resolve/main/iris-7b.Q4_0.gguf) | Q4_0 | 4.4 | fast, low quality |
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  | [GGUF](https://huggingface.co/mradermacher/iris-7b-GGUF/resolve/main/iris-7b.Q4_K_S.gguf) | Q4_K_S | 4.4 | fast, recommended |
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+ | [GGUF](https://huggingface.co/mradermacher/iris-7b-GGUF/resolve/main/iris-7b.IQ4_NL.gguf) | IQ4_NL | 4.4 | prefer IQ4_XS |
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  | [GGUF](https://huggingface.co/mradermacher/iris-7b-GGUF/resolve/main/iris-7b.Q4_K_M.gguf) | Q4_K_M | 4.6 | fast, recommended |
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  | [GGUF](https://huggingface.co/mradermacher/iris-7b-GGUF/resolve/main/iris-7b.Q5_K_S.gguf) | Q5_K_S | 5.3 | |
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  | [GGUF](https://huggingface.co/mradermacher/iris-7b-GGUF/resolve/main/iris-7b.Q5_K_M.gguf) | Q5_K_M | 5.4 | |
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  | [GGUF](https://huggingface.co/mradermacher/iris-7b-GGUF/resolve/main/iris-7b.Q6_K.gguf) | Q6_K | 6.2 | very good quality |
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  | [GGUF](https://huggingface.co/mradermacher/iris-7b-GGUF/resolve/main/iris-7b.Q8_0.gguf) | Q8_0 | 7.9 | fast, best quality |
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  Here is a handy graph by ikawrakow comparing some lower-quality quant
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  types (lower is better):
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