license, license_name, license_link, pipeline_tag, base_model, tags, model-index
| license | license_name | license_link | pipeline_tag | base_model | tags | model-index | |||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| other | llama-3 | https://llama.meta.com/llama3/license/ | text-generation | Replete-AI/Llama-3-11.5B-Instruct-V2 |
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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: