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Llama3_kw_gen_base

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Transformers
Safetensors
llama
text-generation-inference
Inference Endpoints
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Llama3_kw_gen_base
File size: 1,321 Bytes 
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{
  "model_type": "llama",
  "alpha_pattern": {},
  "auto_mapping": null,
  "base_model_name_or_path": "unsloth/llama-3-8b-bnb-4bit",
  "bias": "none",
  "fan_in_fan_out": false,
  "inference_mode": true,
  "init_lora_weights": true,
  "layer_replication": null,
  "layers_pattern": null,
  "layers_to_transform": null,
  "loftq_config": {},
  "lora_alpha": 16,
  "lora_dropout": 0,
  "megatron_config": null,
  "megatron_core": "megatron.core",
  "modules_to_save": [
    "lm_head",
    "embed_tokens"
  ],
  "peft_type": "LORA",
  "r": 16,
  "rank_pattern": {},
  "revision": "unsloth",
  "target_modules": [
    "k_proj",
    "gate_proj",
    "q_proj",
    "up_proj",
    "o_proj",
    "down_proj",
    "v_proj"
  ],
  "task_type": "CAUSAL_LM",
  "use_dora": false,
  "use_rslora": false,
  "hidden_size": 4096,
  "num_attention_heads": 32,
  "num_hidden_layers": 24,
  "intermediate_size": 16384,
  "max_position_embeddings": 512,
  "vocab_size": 32000,
  "layer_norm_eps": 1e-5,
  "initializer_range": 0.02,
  "train_batch_size": 2,
  "gradient_accumulation_steps": 4,
  "warmup_steps": 5,
  "max_steps": 60,
  "learning_rate": 0.0002,
  "fp16": true,
  "bf16": false,
  "logging_steps": 1,
  "optim": "adamw_8bit",
  "weight_decay": 0.01,
  "lr_scheduler_type": "linear",
  "seed": 3407,
  "output_dir": "outputs"
}