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Upload model Mistral-Large-Instruct-2407-v8-k65536-256-woft
Browse files- README.md +46 -0
- config.json +0 -0
- generation_config.json +6 -0
- model-00001-of-00010.safetensors +3 -0
- model-00002-of-00010.safetensors +3 -0
- model-00003-of-00010.safetensors +3 -0
- model-00004-of-00010.safetensors +3 -0
- model-00005-of-00010.safetensors +3 -0
- model-00006-of-00010.safetensors +3 -0
- model-00007-of-00010.safetensors +3 -0
- model-00008-of-00010.safetensors +3 -0
- model-00009-of-00010.safetensors +3 -0
- model-00010-of-00010.safetensors +3 -0
- model.safetensors.index.json +0 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +0 -0
README.md
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---
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license: other
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license_name: mrl
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license_link: https://mistral.ai/licenses/MRL-0.1.md
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base_model:
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- mistralai/Mistral-Large-Instruct-2407
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base_model_relation: quantized
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tags:
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- VPTQ
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- Quantized
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- Quantization
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---
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**Disclaimer**:
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The model is reproduced based on the paper *VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models* [github](https://github.com/microsoft/vptq) and [arXiv](https://arxiv.org/abs/2409.17066)
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The model itself is sourced from a community release.
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It is intended only for experimental purposes.
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Users are responsible for any consequences arising from the use of this model.
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**Note**:
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The PPL test results are for reference only and were collected using GPTQ testing script.
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```json
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{
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"ctx_2048": {
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"wikitext2": 3.484158515930176,
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"c4": 6.430262088775635,
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"c4-new": 7.119498252868652
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},
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"ctx_4096": {
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"wikitext2": 3.2934534549713135,
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"c4": 6.052966594696045,
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"c4-new": 6.734064102172852
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},
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"ctx_8192": {
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"wikitext2": 3.1873176097869873,
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"c4": 4.763023376464844,
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"c4-new": 6.607855796813965
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}
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}
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```
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config.json
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"transformers_version": "4.45.2"
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}
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model-00001-of-00010.safetensors
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size 4888744144
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model-00002-of-00010.safetensors
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model-00003-of-00010.safetensors
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model-00006-of-00010.safetensors
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model.safetensors.index.json
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special_tokens_map.json
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"normalized": false,
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tokenizer.json
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tokenizer.model
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tokenizer_config.json
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