Quant Infos
Requires latest master + Rope Scaling PR.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
- experimental custom quant types
_L
with--output-tensor-type f16 --token-embedding-type f16
, which supposedly leads to better accuracy.
- experimental custom quant types
- Imatrix generated with this multi-purpose dataset by bartowski.
./imatrix -m $model_name-bf16.gguf -f calibration_datav3.txt -o $model_name.imatrix
Original Model Card:
TODO
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Model tree for qwp4w3hyb/Meta-Llama-3.1-70B-Instruct-iMat-GGUF
Base model
meta-llama/Llama-3.1-70B
Finetuned
meta-llama/Llama-3.1-70B-Instruct