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latimar/Phind-Codellama-34B-v2-exl2
Phind-Codellama-34B-v2-exl2 is a text generation model from latimar. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as llama2.
Weights of Phind-CodeLlama-34B-v2 converted to EXL2 format.
Downloads · 30 days
190
35% of all-time downloads
All-time downloads
542
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160 GB
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From the Hugging Face model README
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
5_0-bpw-h8-evol-ins
4_625-bpw-h6
4_4-bpw-h8
4_125-bpw-h6
3_8-bpw-h6
2_75-bpw-h6
2_55-bpw-h6
5_0-bpw-h8-evol-ins: wizardLM-evol-instruct_70kEvol-Ins: : nikrosh-evol-instruct4_4-bpw-h8 quant, additional -mr 32 arg was used.PPL was measured with the test_inference.py exllamav2 script:
python test_inference.py -m /storage/models/LLaMA/EXL2/Phind-Codellama-34B-v2 -ed /storage/datasets/text/evol-instruct/nickrosh-evol-instruct-code-80k.parquet
| BPW | PPL on Wiki | PPL on Evol-Ins | File Size (Gb) |
|---|---|---|---|
| 2.55-h6 | 11.0310 | 2.4542 | 10.56 |
| 2.75-h6 | 9.7902 | 2.2888 | 11.33 |
| 3.8-h6 | 6.7293 | 2.0724 | 15.37 |
| 4.125-h6 | 6.6713 | 2.0617 | 16.65 |
| 4.4-h8 | 6.6487 | 2.0509 | 17.76 |
| 4.625-h6 | 6.6576 | 2.0459 | 18.58 |
| 5.0-h8 | 6.6379 | 2.0419 | 20.09 |
| 5.0-h8-ev | 6.7785 | 2.0445 | 20.09 |