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Llama-3-14B-Instruct-v1-GGUF

Transformers
GGUF
English
llama-3
llama
mergekit
self-merge
14B
14b
Inference Endpoints
conversational
Model card Files Community
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auto-patch README.md

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  1. README.md +3 -0
README.md CHANGED
@@ -42,9 +42,12 @@ more details, including on how to concatenate multi-part files.
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-14B-Instruct-v1-GGUF/resolve/main/Llama-3-14B-Instruct-v1.Q3_K_S.gguf) | Q3_K_S | 6.4 | |
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-14B-Instruct-v1-GGUF/resolve/main/Llama-3-14B-Instruct-v1.Q3_K_M.gguf) | Q3_K_M | 7.0 | lower quality |
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-14B-Instruct-v1-GGUF/resolve/main/Llama-3-14B-Instruct-v1.Q3_K_L.gguf) | Q3_K_L | 7.6 | |
 
 
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-14B-Instruct-v1-GGUF/resolve/main/Llama-3-14B-Instruct-v1.Q4_K_S.gguf) | Q4_K_S | 8.3 | fast, recommended |
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-14B-Instruct-v1-GGUF/resolve/main/Llama-3-14B-Instruct-v1.Q4_K_M.gguf) | Q4_K_M | 8.7 | fast, recommended |
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-14B-Instruct-v1-GGUF/resolve/main/Llama-3-14B-Instruct-v1.Q5_K_S.gguf) | Q5_K_S | 9.9 | |
 
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-14B-Instruct-v1-GGUF/resolve/main/Llama-3-14B-Instruct-v1.Q6_K.gguf) | Q6_K | 11.7 | very good quality |
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-14B-Instruct-v1-GGUF/resolve/main/Llama-3-14B-Instruct-v1.Q8_0.gguf) | Q8_0 | 15.1 | fast, best quality |
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-14B-Instruct-v1-GGUF/resolve/main/Llama-3-14B-Instruct-v1.Q3_K_S.gguf) | Q3_K_S | 6.4 | |
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-14B-Instruct-v1-GGUF/resolve/main/Llama-3-14B-Instruct-v1.Q3_K_M.gguf) | Q3_K_M | 7.0 | lower quality |
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-14B-Instruct-v1-GGUF/resolve/main/Llama-3-14B-Instruct-v1.Q3_K_L.gguf) | Q3_K_L | 7.6 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Llama-3-14B-Instruct-v1-GGUF/resolve/main/Llama-3-14B-Instruct-v1.IQ4_XS.gguf) | IQ4_XS | 7.9 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Llama-3-14B-Instruct-v1-GGUF/resolve/main/Llama-3-14B-Instruct-v1.Q4_0_4_4.gguf) | Q4_0_4_4 | 8.2 | fast on arm, low quality |
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-14B-Instruct-v1-GGUF/resolve/main/Llama-3-14B-Instruct-v1.Q4_K_S.gguf) | Q4_K_S | 8.3 | fast, recommended |
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-14B-Instruct-v1-GGUF/resolve/main/Llama-3-14B-Instruct-v1.Q4_K_M.gguf) | Q4_K_M | 8.7 | fast, recommended |
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-14B-Instruct-v1-GGUF/resolve/main/Llama-3-14B-Instruct-v1.Q5_K_S.gguf) | Q5_K_S | 9.9 | |
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+ | [GGUF](https://huggingface.co/mradermacher/Llama-3-14B-Instruct-v1-GGUF/resolve/main/Llama-3-14B-Instruct-v1.Q5_K_M.gguf) | Q5_K_M | 10.1 | |
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-14B-Instruct-v1-GGUF/resolve/main/Llama-3-14B-Instruct-v1.Q6_K.gguf) | Q6_K | 11.7 | very good quality |
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-14B-Instruct-v1-GGUF/resolve/main/Llama-3-14B-Instruct-v1.Q8_0.gguf) | Q8_0 | 15.1 | fast, best quality |
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