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Meta-Llama-3.1-70B-Instruct-iMat-GGUF

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Inference Endpoints

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qwp4w3hyb commited on Jul 25

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@@ -26,7 +26,7 @@ base_model: meta-llama/Meta-Llama-3.1-70B-Instruct
 # Quant Infos
 - Requires latest master + [Rope Scaling PR](https://github.com/ggerganov/llama.cpp/pull/8676)
- - @ubergarm explained how to set up your llama.cpp here: https://huggingface.co/qwp4w3hyb/Meta-Llama-3.1-8B-Instruct-iMat-GGUF/discussions/1#66a26b63de4e162dd84c22c5
 - Might not be perfect yet, but seems to mostly work.
 - quants done with an importance matrix for improved quantization loss
 - Quantized ggufs & imatrix from hf bf16, through bf16. `safetensors bf16 -> gguf bf16 -> quant` for *optimal* quant loss.

 # Quant Infos
 - Requires latest master + [Rope Scaling PR](https://github.com/ggerganov/llama.cpp/pull/8676)
+ - [@ubergarm](https://huggingface.co/ubergarm) explained how to set up your llama.cpp [here](https://huggingface.co/qwp4w3hyb/Meta-Llama-3.1-8B-Instruct-iMat-GGUF/discussions/1#66a26b63de4e162dd84c22c5)
 - Might not be perfect yet, but seems to mostly work.
 - quants done with an importance matrix for improved quantization loss
 - Quantized ggufs & imatrix from hf bf16, through bf16. `safetensors bf16 -> gguf bf16 -> quant` for *optimal* quant loss.