Hugging Face's logo

shuyuej
/
e5-mistral-7b-instruct-GPTQ

Feature Extraction
Transformers
Safetensors
mistral
text-generation-inference
text-embeddings-inference
Inference Endpoints
4-bit precision
gptq
Model card Files Community
1

The Quantized E5-mistral-7b-instruct Model

Original Base Embedding Model: intfloat/e5-mistral-7b-instruct.
Link: https://huggingface.co/intfloat/e5-mistral-7b-instruct

Quantization Configurations 

"quantization_config": {
    "bits": 4,
    "checkpoint_format": "gptq",
    "damp_percent": 0.01,
    "desc_act": true,
    "group_size": 128,
    "model_file_base_name": null,
    "model_name_or_path": null,
    "quant_method": "gptq",
    "static_groups": false,
    "sym": true,
    "true_sequential": true
  },

Source Codes

Source Codes: https://github.com/vkola-lab/medpodgpt/tree/main/quantization.

Downloads last month
138
Safetensors
Model size
1.2B params
Tensor type
I32
·
FP16
·
Inference Examples
Feature Extraction
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/e5-mistral-7b-instruct-GPTQ