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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 28

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@@ -24,7 +24,6 @@ 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).~ Rope scaling is merged, so just a a recent master is required now.
-  - [@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)
 - 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.
 - Wide coverage of different gguf quant types from Q\_8\_0 down to IQ1\_S

 # Quant Infos
 - ~Requires latest master + [Rope Scaling PR](https://github.com/ggerganov/llama.cpp/pull/8676).~ Rope scaling is merged, so just a a recent master is required now.
 - 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.
 - Wide coverage of different gguf quant types from Q\_8\_0 down to IQ1\_S