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Browse files- README.md +19 -0
- config.json +6 -0
- model.bin +3 -0
- vocabulary.json +0 -0
README.md
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---
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license: llama2
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tags:
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- code
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---
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This is a quantized version of **WizardLM/WizardCoder-Python-7B-V1.0**, quantized using [ctranslate2](https://github.com/OpenNMT/CTranslate2) (see inference instructions there).
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**The license/caveats/intended usage is the same as the original model**.
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The quality of its output may have
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been negatively affected by the quantization process.
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The command run to quantize the model was:
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`ct2-transformers-converter --model ./models-hf/WizardLM/WizardCoder-Python-7B-V1.0 --quantization float16 --output_dir ./models-ct/WizardLM/WizardCoder-Python-7B-V1.0-ct2-float16`
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The quantization was run on a 'high-mem', CPU only (8 core, 51GB) colab instance and took approximately 10 minutes.
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config.json
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{
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"bos_token": "</s>",
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"eos_token": "</s>",
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"layer_norm_epsilon": 1e-05,
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"unk_token": "</s>"
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}
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model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:c88b6ed131dcb3f0f4c3763018e0557dcff933ec2b658e298d3f2a4fa3671a90
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size 13476866371
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vocabulary.json
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