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llama-3-70B-instruct-uncensored-i1-GGUF

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GGUF
English
text-generation-inference
unsloth
llama
trl
sft
Inference Endpoints
Model card Files Community
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auto-patch README.md

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@@ -40,8 +40,12 @@ 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/llama-3-70B-instruct-uncensored-i1-GGUF/resolve/main/llama-3-70B-instruct-uncensored.i1-Q2_K.gguf) | i1-Q2_K | 26.5 | IQ3_XXS probably better |
 
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  | [GGUF](https://huggingface.co/mradermacher/llama-3-70B-instruct-uncensored-i1-GGUF/resolve/main/llama-3-70B-instruct-uncensored.i1-Q3_K_M.gguf) | i1-Q3_K_M | 34.4 | IQ3_S probably better |
 
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  | [GGUF](https://huggingface.co/mradermacher/llama-3-70B-instruct-uncensored-i1-GGUF/resolve/main/llama-3-70B-instruct-uncensored.i1-Q4_K_S.gguf) | i1-Q4_K_S | 40.4 | optimal size/speed/quality |
 
 
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  | [PART 1](https://huggingface.co/mradermacher/llama-3-70B-instruct-uncensored-i1-GGUF/resolve/main/llama-3-70B-instruct-uncensored.i1-Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/llama-3-70B-instruct-uncensored-i1-GGUF/resolve/main/llama-3-70B-instruct-uncensored.i1-Q6_K.gguf.part2of2) | i1-Q6_K | 58.0 | practically like static Q6_K |
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  | Link | Type | Size/GB | Notes |
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  |:-----|:-----|--------:|:------|
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  | [GGUF](https://huggingface.co/mradermacher/llama-3-70B-instruct-uncensored-i1-GGUF/resolve/main/llama-3-70B-instruct-uncensored.i1-Q2_K.gguf) | i1-Q2_K | 26.5 | IQ3_XXS probably better |
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+ | [GGUF](https://huggingface.co/mradermacher/llama-3-70B-instruct-uncensored-i1-GGUF/resolve/main/llama-3-70B-instruct-uncensored.i1-Q3_K_S.gguf) | i1-Q3_K_S | 31.0 | IQ3_XS probably better |
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  | [GGUF](https://huggingface.co/mradermacher/llama-3-70B-instruct-uncensored-i1-GGUF/resolve/main/llama-3-70B-instruct-uncensored.i1-Q3_K_M.gguf) | i1-Q3_K_M | 34.4 | IQ3_S probably better |
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+ | [GGUF](https://huggingface.co/mradermacher/llama-3-70B-instruct-uncensored-i1-GGUF/resolve/main/llama-3-70B-instruct-uncensored.i1-Q3_K_L.gguf) | i1-Q3_K_L | 37.2 | IQ3_M probably better |
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  | [GGUF](https://huggingface.co/mradermacher/llama-3-70B-instruct-uncensored-i1-GGUF/resolve/main/llama-3-70B-instruct-uncensored.i1-Q4_K_S.gguf) | i1-Q4_K_S | 40.4 | optimal size/speed/quality |
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+ | [GGUF](https://huggingface.co/mradermacher/llama-3-70B-instruct-uncensored-i1-GGUF/resolve/main/llama-3-70B-instruct-uncensored.i1-Q4_K_M.gguf) | i1-Q4_K_M | 42.6 | fast, recommended |
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+ | [GGUF](https://huggingface.co/mradermacher/llama-3-70B-instruct-uncensored-i1-GGUF/resolve/main/llama-3-70B-instruct-uncensored.i1-Q5_K_S.gguf) | i1-Q5_K_S | 48.8 | |
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  | [PART 1](https://huggingface.co/mradermacher/llama-3-70B-instruct-uncensored-i1-GGUF/resolve/main/llama-3-70B-instruct-uncensored.i1-Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/llama-3-70B-instruct-uncensored-i1-GGUF/resolve/main/llama-3-70B-instruct-uncensored.i1-Q6_K.gguf.part2of2) | i1-Q6_K | 58.0 | practically like static Q6_K |
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