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Phind-CodeLlama-34B-Python-v1-GGUF

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GGUF
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code llama
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auto-patch README.md

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@@ -32,8 +32,18 @@ more details, including on how to concatenate multi-part files.
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  | Link | Type | Size/GB | Notes |
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  |:-----|:-----|--------:|:------|
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  | [GGUF](https://huggingface.co/mradermacher/Phind-CodeLlama-34B-Python-v1-GGUF/resolve/main/Phind-CodeLlama-34B-Python-v1.Q2_K.gguf) | Q2_K | 12.6 | |
 
 
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  | [GGUF](https://huggingface.co/mradermacher/Phind-CodeLlama-34B-Python-v1-GGUF/resolve/main/Phind-CodeLlama-34B-Python-v1.IQ3_S.gguf) | IQ3_S | 14.8 | beats Q3_K* |
 
 
 
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  | [GGUF](https://huggingface.co/mradermacher/Phind-CodeLlama-34B-Python-v1-GGUF/resolve/main/Phind-CodeLlama-34B-Python-v1.Q4_K_S.gguf) | Q4_K_S | 19.3 | fast, recommended |
 
 
 
 
 
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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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  | Link | Type | Size/GB | Notes |
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  |:-----|:-----|--------:|:------|
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  | [GGUF](https://huggingface.co/mradermacher/Phind-CodeLlama-34B-Python-v1-GGUF/resolve/main/Phind-CodeLlama-34B-Python-v1.Q2_K.gguf) | Q2_K | 12.6 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Phind-CodeLlama-34B-Python-v1-GGUF/resolve/main/Phind-CodeLlama-34B-Python-v1.IQ3_XS.gguf) | IQ3_XS | 14.0 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Phind-CodeLlama-34B-Python-v1-GGUF/resolve/main/Phind-CodeLlama-34B-Python-v1.Q3_K_S.gguf) | Q3_K_S | 14.7 | |
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  | [GGUF](https://huggingface.co/mradermacher/Phind-CodeLlama-34B-Python-v1-GGUF/resolve/main/Phind-CodeLlama-34B-Python-v1.IQ3_S.gguf) | IQ3_S | 14.8 | beats Q3_K* |
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+ | [GGUF](https://huggingface.co/mradermacher/Phind-CodeLlama-34B-Python-v1-GGUF/resolve/main/Phind-CodeLlama-34B-Python-v1.IQ3_M.gguf) | IQ3_M | 15.3 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Phind-CodeLlama-34B-Python-v1-GGUF/resolve/main/Phind-CodeLlama-34B-Python-v1.Q3_K_M.gguf) | Q3_K_M | 16.4 | lower quality |
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+ | [GGUF](https://huggingface.co/mradermacher/Phind-CodeLlama-34B-Python-v1-GGUF/resolve/main/Phind-CodeLlama-34B-Python-v1.Q3_K_L.gguf) | Q3_K_L | 17.9 | |
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  | [GGUF](https://huggingface.co/mradermacher/Phind-CodeLlama-34B-Python-v1-GGUF/resolve/main/Phind-CodeLlama-34B-Python-v1.Q4_K_S.gguf) | Q4_K_S | 19.3 | fast, recommended |
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+ | [GGUF](https://huggingface.co/mradermacher/Phind-CodeLlama-34B-Python-v1-GGUF/resolve/main/Phind-CodeLlama-34B-Python-v1.Q4_K_M.gguf) | Q4_K_M | 20.3 | fast, recommended |
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+ | [GGUF](https://huggingface.co/mradermacher/Phind-CodeLlama-34B-Python-v1-GGUF/resolve/main/Phind-CodeLlama-34B-Python-v1.Q5_K_S.gguf) | Q5_K_S | 23.3 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Phind-CodeLlama-34B-Python-v1-GGUF/resolve/main/Phind-CodeLlama-34B-Python-v1.Q5_K_M.gguf) | Q5_K_M | 23.9 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Phind-CodeLlama-34B-Python-v1-GGUF/resolve/main/Phind-CodeLlama-34B-Python-v1.Q6_K.gguf) | Q6_K | 27.8 | very good quality |
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+ | [GGUF](https://huggingface.co/mradermacher/Phind-CodeLlama-34B-Python-v1-GGUF/resolve/main/Phind-CodeLlama-34B-Python-v1.Q8_0.gguf) | Q8_0 | 36.0 | fast, best quality |
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48
  Here is a handy graph by ikawrakow comparing some lower-quality quant
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  types (lower is better):