Edit model card

The Quantized Mistral 7B Instruct v0.2 Model

Original Base Model: mistralai/Mistral-7B-Instruct-v0.2.
Link: https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2

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.

Downloads last month
22
Safetensors
Model size
1.2B params
Tensor type
I32
·
FP16
·
Inference API
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Collection including shuyuej/Mistral-7B-Instruct-v0.2-GPTQ