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base_model: https://huggingface.co/Phind/Phind-CodeLlama-34B-v2
inference: false
license: llama2
model_creator: https://huggingface.co/Phind
model_name: Phind-Codellama-34B-v2
model_type: llama
quantized_by: latimar

Phind-CodeLlama-34B-v2 EXL2

Weights of Phind-CodeLlama-34B-v2 converted to EXL2 format.

Each separate quant is in a different branch, like in The Bloke's GPTQ repos.

export BRANCH=5_0-bpw-h8
git clone --single-branch --branch ${BRANCH} https://huggingface.co/latimar/Phind-Codellama-34B-v2-exl2

There are the following branches:

5_0-bpw-h8
4_625-bpw-h6
4_125-bpw-h6
2_75-bpw-h6
2_55-bpw-h6
  • Calibration dataset used for conversion: wikitext-v2
  • Evaluation dataset used to calculate perplexity: wikitext-v2
  • PPL max seq. length used: 1792 (2048 with 5.0-bpw-h8 causes OOM on RTX 4090 when evaluating ppl, so had to go down a bit)
BPW Perplexity File Size (Gb)
2.55-h6 15.0901 10.56
2.75-h6 13.6153 11.33
4.125-h6 6.8095 16.65
4.625-h6 6.7992 18.58
5.0-h8 6.7785 20.09