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Meta-Llama-3-120B-Instruct-GGUF

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GGUF
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mergekit
lazymergekit
Inference Endpoints
imatrix
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Update README.md

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  1. README.md +18 -18
README.md CHANGED
@@ -44,24 +44,24 @@ All quants made using imatrix option with dataset provided by Kalomaze [here](ht
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  | [Meta-Llama-3-120B-Instruct-Q6_K.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF/tree/main/Meta-Llama-3-120B-Instruct-Q6_K.gguf) | Q6_K | 100.00GB | Very high quality, near perfect, *recommended*. |
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  | [Meta-Llama-3-120B-Instruct-Q5_K_M.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF/tree/main/Meta-Llama-3-120B-Instruct-Q5_K_M.gguf) | Q5_K_M | 86.21GB | High quality, *recommended*. |
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  | [Meta-Llama-3-120B-Instruct-Q5_K_S.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF/tree/main/Meta-Llama-3-120B-Instruct-Q5_K_S.gguf) | Q5_K_S | 83.95GB | High quality, *recommended*. |
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- | [Meta-Llama-3-120B-Instruct-Q4_K_M.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF//main/Meta-Llama-3-120B-Instruct-Q4_K_M.gguf) | Q4_K_M | | Good quality, uses about 4.83 bits per weight, *recommended*. |
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- | [Meta-Llama-3-120B-Instruct-Q4_K_S.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF//main/Meta-Llama-3-120B-Instruct-Q4_K_S.gguf) | Q4_K_S | | Slightly lower quality with more space savings, *recommended*. |
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- | [Meta-Llama-3-120B-Instruct-IQ4_NL.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF//main/Meta-Llama-3-120B-Instruct-IQ4_NL.gguf) | IQ4_NL | | Decent quality, slightly smaller than Q4_K_S with similar performance *recommended*. |
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- | [Meta-Llama-3-120B-Instruct-IQ4_XS.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF//main/Meta-Llama-3-120B-Instruct-IQ4_XS.gguf) | IQ4_XS | | Decent quality, smaller than Q4_K_S with similar performance, *recommended*. |
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- | [Meta-Llama-3-120B-Instruct-Q3_K_L.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF//main/Meta-Llama-3-120B-Instruct-Q3_K_L.gguf) | Q3_K_L | | Lower quality but usable, good for low RAM availability. |
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- | [Meta-Llama-3-120B-Instruct-Q3_K_M.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF//main/Meta-Llama-3-120B-Instruct-Q3_K_M.gguf) | Q3_K_M | | Even lower quality. |
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- | [Meta-Llama-3-120B-Instruct-IQ3_M.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF//main/Meta-Llama-3-120B-Instruct-IQ3_M.gguf) | IQ3_M | | Medium-low quality, new method with decent performance comparable to Q3_K_M. |
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- | [Meta-Llama-3-120B-Instruct-IQ3_S.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF//main/Meta-Llama-3-120B-Instruct-IQ3_S.gguf) | IQ3_S | | Lower quality, new method with decent performance, recommended over Q3_K_S quant, same size with better performance. |
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- | [Meta-Llama-3-120B-Instruct-Q3_K_S.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF//main/Meta-Llama-3-120B-Instruct-Q3_K_S.gguf) | Q3_K_S | | Low quality, not recommended. |
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- | [Meta-Llama-3-120B-Instruct-IQ3_XS.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF//main/Meta-Llama-3-120B-Instruct-IQ3_XS.gguf) | IQ3_XS | | Lower quality, new method with decent performance, slightly better than Q3_K_S. |
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- | [Meta-Llama-3-120B-Instruct-IQ3_XXS.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF//main/Meta-Llama-3-120B-Instruct-IQ3_XXS.gguf) | IQ3_XXS | | Lower quality, new method with decent performance, comparable to Q3 quants. |
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- | [Meta-Llama-3-120B-Instruct-Q2_K.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF//main/Meta-Llama-3-120B-Instruct-Q2_K.gguf) | Q2_K | | Very low quality but surprisingly usable. |
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- | [Meta-Llama-3-120B-Instruct-IQ2_M.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF//main/Meta-Llama-3-120B-Instruct-IQ2_M.gguf) | IQ2_M | | Very low quality, uses SOTA techniques to also be surprisingly usable. |
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- | [Meta-Llama-3-120B-Instruct-IQ2_S.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF//main/Meta-Llama-3-120B-Instruct-IQ2_S.gguf) | IQ2_S | | Very low quality, uses SOTA techniques to be usable. |
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- | [Meta-Llama-3-120B-Instruct-IQ2_XS.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF//main/Meta-Llama-3-120B-Instruct-IQ2_XS.gguf) | IQ2_XS | | Very low quality, uses SOTA techniques to be usable. |
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- | [Meta-Llama-3-120B-Instruct-IQ2_XXS.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF//main/Meta-Llama-3-120B-Instruct-IQ2_XXS.gguf) | IQ2_XXS | | Lower quality, uses SOTA techniques to be usable. |
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- | [Meta-Llama-3-120B-Instruct-IQ1_M.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF//main/Meta-Llama-3-120B-Instruct-IQ1_M.gguf) | IQ1_M | | Extremely low quality, *not* recommended. |
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- | [Meta-Llama-3-120B-Instruct-IQ1_S.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF//main/Meta-Llama-3-120B-Instruct-IQ1_S.gguf) | IQ1_S | | Extremely low quality, *not* recommended. |
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  ## Downloading using huggingface-cli
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  | [Meta-Llama-3-120B-Instruct-Q6_K.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF/tree/main/Meta-Llama-3-120B-Instruct-Q6_K.gguf) | Q6_K | 100.00GB | Very high quality, near perfect, *recommended*. |
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  | [Meta-Llama-3-120B-Instruct-Q5_K_M.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF/tree/main/Meta-Llama-3-120B-Instruct-Q5_K_M.gguf) | Q5_K_M | 86.21GB | High quality, *recommended*. |
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  | [Meta-Llama-3-120B-Instruct-Q5_K_S.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF/tree/main/Meta-Llama-3-120B-Instruct-Q5_K_S.gguf) | Q5_K_S | 83.95GB | High quality, *recommended*. |
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+ | [Meta-Llama-3-120B-Instruct-Q4_K_M.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF/tree/main/Meta-Llama-3-120B-Instruct-Q4_K_M.gguf) | Q4_K_M | 73.24GB | Good quality, uses about 4.83 bits per weight, *recommended*. |
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+ | [Meta-Llama-3-120B-Instruct-Q4_K_S.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF/tree/main/Meta-Llama-3-120B-Instruct-Q4_K_S.gguf) | Q4_K_S | 69.35GB | Slightly lower quality with more space savings, *recommended*. |
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+ | [Meta-Llama-3-120B-Instruct-IQ4_NL.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF/tree/main/Meta-Llama-3-120B-Instruct-IQ4_NL.gguf) | IQ4_NL | 68.99GB | Decent quality, slightly smaller than Q4_K_S with similar performance *recommended*. |
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+ | [Meta-Llama-3-120B-Instruct-IQ4_XS.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF/tree/main/Meta-Llama-3-120B-Instruct-IQ4_XS.gguf) | IQ4_XS | 65.25GB | Decent quality, smaller than Q4_K_S with similar performance, *recommended*. |
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+ | [Meta-Llama-3-120B-Instruct-Q3_K_L.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF/tree/main/Meta-Llama-3-120B-Instruct-Q3_K_L.gguf) | Q3_K_L | 64.00GB | Lower quality but usable, good for low RAM availability. |
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+ | [Meta-Llama-3-120B-Instruct-Q3_K_M.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF/tree/main/Meta-Llama-3-120B-Instruct-Q3_K_M.gguf) | Q3_K_M | 58.81GB | Even lower quality. |
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+ | [Meta-Llama-3-120B-Instruct-IQ3_M.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF/tree/main/Meta-Llama-3-120B-Instruct-IQ3_M.gguf) | IQ3_M | 54.73GB | Medium-low quality, new method with decent performance comparable to Q3_K_M. |
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+ | [Meta-Llama-3-120B-Instruct-IQ3_S.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF/tree/main/Meta-Llama-3-120B-Instruct-IQ3_S.gguf) | IQ3_S | 52.95GB | Lower quality, new method with decent performance, recommended over Q3_K_S quant, same size with better performance. |
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+ | [Meta-Llama-3-120B-Instruct-Q3_K_S.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF/tree/main/Meta-Llama-3-120B-Instruct-Q3_K_S.gguf) | Q3_K_S | 52.80GB | Low quality, not recommended. |
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+ | [Meta-Llama-3-120B-Instruct-IQ3_XS.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF/tree/main/Meta-Llama-3-120B-Instruct-IQ3_XS.gguf) | IQ3_XS | 50.15GB | Lower quality, new method with decent performance, slightly better than Q3_K_S. |
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+ | [Meta-Llama-3-120B-Instruct-IQ3_XXS.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF/blob/main/Meta-Llama-3-120B-Instruct-IQ3_XXS.gguf) | IQ3_XXS | 47.03GB | Lower quality, new method with decent performance, comparable to Q3 quants. |
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+ | [Meta-Llama-3-120B-Instruct-Q2_K.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF/blob/main/Meta-Llama-3-120B-Instruct-Q2_K.gguf) | Q2_K | 45.09GB | Very low quality but surprisingly usable. |
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+ | [Meta-Llama-3-120B-Instruct-IQ2_M.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF/blob/main/Meta-Llama-3-120B-Instruct-IQ2_M.gguf) | IQ2_M | 41.30GB | Very low quality, uses SOTA techniques to also be surprisingly usable. |
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+ | [Meta-Llama-3-120B-Instruct-IQ2_S.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF/blob/main/Meta-Llama-3-120B-Instruct-IQ2_S.gguf) | IQ2_S | 38.02GB | Very low quality, uses SOTA techniques to be usable. |
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+ | [Meta-Llama-3-120B-Instruct-IQ2_XS.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF/blob/main/Meta-Llama-3-120B-Instruct-IQ2_XS.gguf) | IQ2_XS | 36.18GB | Very low quality, uses SOTA techniques to be usable. |
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+ | [Meta-Llama-3-120B-Instruct-IQ2_XXS.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF/blob/main/Meta-Llama-3-120B-Instruct-IQ2_XXS.gguf) | IQ2_XXS | 32.60GB | Lower quality, uses SOTA techniques to be usable. |
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+ | [Meta-Llama-3-120B-Instruct-IQ1_M.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF/blob/main/Meta-Llama-3-120B-Instruct-IQ1_M.gguf) | IQ1_M | 28.49GB | Extremely low quality, *not* recommended. |
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+ | [Meta-Llama-3-120B-Instruct-IQ1_S.gguf](https://huggingface.co/bartowski/Meta-Llama-3-120B-Instruct-GGUF/blob/main/Meta-Llama-3-120B-Instruct-IQ1_S.gguf) | IQ1_S | 26.02GB | Extremely low quality, *not* recommended. |
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  ## Downloading using huggingface-cli
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