---
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.
  - [@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
  - 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