metadata
license: other
license_name: llama-3
license_link: https://llama.meta.com/llama3/license/
pipeline_tag: text-generation
base_model: Replete-AI/Llama-3-11.5B-Instruct-V2
tags:
- facebook
- meta
- pytorch
- llama
- llama-3
- instruct
- finetune
- frankenmerge
- merge
- gguf
- imatrix
- importance matrix
model-index:
- name: Yi-1.5-34B-Chat-16K-iMat-GGUF
results: []
Quant Infos
- quants done with an importance matrix for improved quantization loss
- ggufs & imatrix generated from bf16 for "optimal" accuracy loss
- Wide coverage of different gguf quant types from Q_8_0 down to IQ1_S
- Quantized with llama.cpp commit fabf30b4c4fca32e116009527180c252919ca922 (master as of 2024-05-20)
- Imatrix generated with this multi-purpose dataset.
./imatrix -c 512 -m $model_name-f16.gguf -f $llama_cpp_path/groups_merged.txt -o $out_path/imat-f16-gmerged.dat
Original Model Card:
Llama-3-11.5B-v2
Thank you to Meta for the weights for Meta-Llama-3-8B
This is an upscaling of the Meta-Llama-3-8B Ai using techniques created for chargoddard/mistral-11b-slimorca. This Ai model has been upscaled from 8b parameters to 11.5b parameters without any continuous pretraining or fine-tuning.
Unlike version 1 this model has no issues at fp16 or any quantizations.
The model that was used to create this one is linked below: