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Llama-3_1-Nemotron-51B-Instruct-GGUF

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Transformers
GGUF
PyTorch
English
nvidia
llama-3
conversational
Inference Endpoints
imatrix
Model card Files Community
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  1. README.md +4 -4
README.md CHANGED
@@ -38,10 +38,10 @@ Since I am a free user, so for the time being, I only upload models that might b
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  | Filename | Quant type | File Size | Description |
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  | -------- | ---------- | --------- | ----------- |
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- | [Llama-3_1-Nemotron 51B-Instruct.Q4_K_M.gguf](https://huggingface.co/ymcki/Llama-3_1-Nemotron 51B-Instruct-GGUF/blob/main/Llama-3_1-Nemotron 51B-Instruct.Q4_K_M.gguf) | Q4_K_M | 31GB | Good for A100 40GB or dual 3090 |
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- | [Llama-3_1-Nemotron 51B-Instruct.Q4_0.gguf](https://huggingface.co/ymcki/Llama-3_1-Nemotron 51B-Instruct-GGUF/blob/main/Llama-3_1-Nemotron 51B-Instruct.Q4_0.gguf) | Q4_0 | 29.3GB | For 32GB cards, e.g. 5090. |
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- | [Llama-3_1-Nemotron 51B-Instruct.Q4_0_4_8.gguf](https://huggingface.co/ymcki/Llama-3_1-Nemotron 51B-Instruct-GGUF/blob/main/Llama-3_1-Nemotron 51B-Instruct.Q4_0_4_8.gguf) | Q4_0_4_8 | 29.3GB | For Apple Silicon |
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- | [Llama-3_1-Nemotron 51B-Instruct.Q3_K_S.gguf](https://huggingface.co/ymcki/Llama-3_1-Nemotron 51B-Instruct-GGUF/blob/main/Llama-3_1-Nemotron 51B-Instruct.Q3_K_S.gguf) | Q3_K_S | 22.7GB | Largest model that can fit a single 3090 |
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  ## How to check i8mm support for Apple devices
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  | Filename | Quant type | File Size | Description |
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  | -------- | ---------- | --------- | ----------- |
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+ | [Llama-3_1-Nemotron-51B-Instruct.Q4_K_M.gguf](https://huggingface.co/ymcki/Llama-3_1-Nemotron 51B-Instruct-GGUF/blob/main/Llama-3_1-Nemotron-51B-Instruct.Q4_K_M.gguf) | Q4_K_M | 31GB | Good for A100 40GB or dual 3090 |
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+ | [Llama-3_1-Nemotron-51B-Instruct.Q4_0.gguf](https://huggingface.co/ymcki/Llama-3_1-Nemotron 51B-Instruct-GGUF/blob/main/Llama-3_1-Nemotron-51B-Instruct.Q4_0.gguf) | Q4_0 | 29.3GB | For 32GB cards, e.g. 5090. |
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+ | [Llama-3_1-Nemotron-51B-Instruct.Q4_0_4_8.gguf](https://huggingface.co/ymcki/Llama-3_1-Nemotron 51B-Instruct-GGUF/blob/main/Llama-3_1-Nemotron-51B-Instruct.Q4_0_4_8.gguf) | Q4_0_4_8 | 29.3GB | For Apple Silicon |
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+ | [Llama-3_1-Nemotron-51B-Instruct.Q3_K_S.gguf](https://huggingface.co/ymcki/Llama-3_1-Nemotron 51B-Instruct-GGUF/blob/main/Llama-3_1-Nemotron-51B-Instruct.Q3_K_S.gguf) | Q3_K_S | 22.7GB | Largest model that can fit a single 3090 |
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  ## How to check i8mm support for Apple devices
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