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---
language:
- en
- de
- fr
- it
- pt
- hi
- es
- th
license: llama3.1
pipeline_tag: text-generation
tags:
- facebook
- meta
- pytorch
- llama
- llama-3
- gguf
- imatrix
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.
- 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.
- Imatrix generated with [this](https://gist.github.com/bartowski1182/eb213dccb3571f863da82e99418f81e8) multi-purpose dataset by [bartowski](https://huggingface.co/bartowski).
```
./imatrix -m $model_name-bf16.gguf -f calibration_datav3.txt -o $model_name.imatrix
```
# Original Model Card:
TODO