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Mixtral-8x22B-Instruct-v0.1-GPTQ
shuyuej/Mixtral-8x22B-Instruct-v0.1-GPTQ
Mixtral-8x22B-Instruct-v0.1-GPTQ is a text generation model from shuyuej. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
Original Base Model: mistralai/Mixtral-8x22B-Instruct-v0.1.<br Link: https://huggingface.co/mistralai/Mixtral-8x22B-Instruct-v0.1
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Model card
From the Hugging Face model README
The Quantized Mixtral 8x22B MoE Instruct v0.1 Model
Original Base Model: mistralai/Mixtral-8x22B-Instruct-v0.1.<br>
Link: https://huggingface.co/mistralai/Mixtral-8x22B-Instruct-v0.1
Quantization Configurations
"quantization_config": {
"batch_size": 1,
"bits": 4,
"block_name_to_quantize": null,
"cache_block_outputs": true,
"damp_percent": 0.1,
"dataset": null,
"desc_act": false,
"exllama_config": {
"version": 1
},
"group_size": 128,
"max_input_length": null,
"model_seqlen": null,
"module_name_preceding_first_block": null,
"modules_in_block_to_quantize": null,
"pad_token_id": null,
"quant_method": "gptq",
"sym": true,
"tokenizer": null,
"true_sequential": true,
"use_cuda_fp16": false,
"use_exllama": true
},
Source Codes
Source Codes: https://github.com/vkola-lab/medpodgpt/tree/main/quantization.
- Task
- Text Generation
- Library
- transformers
- Type
- mixtral
- License
- apache-2.0
- Created
- Jul 22, 2024
- Updated
- Jul 25, 2024