intfloat

/

e5-mistral-7b-instruct

like 469

Thanks @SeanLee97 ! I learn a lot from your AnglE paper!

The released model contains merged lora weights, I thought this would make it more convenient to use without depending on PEFT library.

Here is our LoRA config:

{
  "auto_mapping": null,
  "base_model_name_or_path": "mistralai/Mistral-7B-v0.1",
  "bias": "none",
  "fan_in_fan_out": false,
  "inference_mode": true,
  "init_lora_weights": true,
  "layers_pattern": null,
  "layers_to_transform": null,
  "lora_alpha": 32,
  "lora_dropout": 0.1,
  "modules_to_save": null,
  "peft_type": "LORA",
  "r": 16,
  "revision": null,
  "target_modules": [
    "q_proj",
    "k_proj",
    "v_proj",
    "o_proj",
    "down_proj",
    "up_proj",
    "gate_proj"
  ],
  "task_type": "FEATURE_EXTRACTION"
}