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Mixtral-8x7B-Instruct-v0.1_ML-ESG-3_eng_fr_v2.0

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Mixtral-8x7B-Instruct-v0.1_ML-ESG-3_eng_fr_v2.0
File size: 2,061 Bytes 
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{
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  "auto_mapping": null,
  "base_model_name_or_path": "mistralai/Mixtral-8x7B-Instruct-v0.1",
  "bias": "none",
  "fan_in_fan_out": false,
  "inference_mode": true,
  "init_lora_weights": true,
  "layers_pattern": null,
  "layers_to_transform": null,
  "loftq_config": {},
  "lora_alpha": 32,
  "lora_dropout": 0.05,
  "megatron_config": null,
  "megatron_core": "megatron.core",
  "modules_to_save": null,
  "peft_type": "LORA",
  "r": 16,
  "rank_pattern": {},
  "revision": null,
  "target_modules": [
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    "model.layers.31.block_sparse_moe.experts.3.w2",
    "model.layers.31.block_sparse_moe.experts.7.w1",
    "model.layers.31.block_sparse_moe.experts.4.w1",
    "model.layers.31.block_sparse_moe.experts.0.w3",
    "model.layers.31.block_sparse_moe.experts.6.w2",
    "model.layers.31.block_sparse_moe.experts.0.w1",
    "model.layers.31.block_sparse_moe.experts.5.w3",
    "model.layers.31.block_sparse_moe.experts.0.w2",
    "model.layers.31.block_sparse_moe.experts.7.w2",
    "model.layers.31.block_sparse_moe.experts.2.w3",
    "model.layers.31.block_sparse_moe.experts.3.w3",
    "model.layers.31.block_sparse_moe.experts.6.w1",
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    "model.layers.31.block_sparse_moe.experts.3.w1",
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    "model.layers.31.self_attn.q_proj",
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  ],
  "task_type": "CAUSAL_LM",
  "use_rslora": false
}