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Text Generation
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PyTorch
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llama
conversational
text-generation-inference
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{
  "_attn_implementation_autoset": true,
  "_name_or_path": "lilmeaty/Jaja-small",
  "architectures": [
    "LlamaForCausalLM"
  ],
  "attention_bias": false,
  "attention_dropout": 0.0,
  "bos_token_id": 1,
  "eos_token_id": 2,
  "head_dim": 64,
  "hidden_act": "silu",
  "hidden_size": 576,
  "initializer_range": 0.041666666666666664,
  "intermediate_size": 1536,
  "is_llama_config": true,
  "max_position_embeddings": 8192,
  "mlp_bias": false,
  "model_type": "llama",
  "num_attention_heads": 9,
  "num_hidden_layers": 30,
  "num_key_value_heads": 3,
  "pad_token_id": 2,
  "pretraining_tp": 1,
  "quantization_config": {
    "bits": 4,
    "damp_percent": 0.01,
    "desc_act": true,
    "group_size": -1,
    "is_marlin_format": false,
    "model_file_base_name": null,
    "model_name_or_path": null,
    "quant_method": "gptq",
    "static_groups": false,
    "sym": true,
    "true_sequential": true
  },
  "rms_norm_eps": 1e-05,
  "rope_interleaved": false,
  "rope_scaling": null,
  "rope_theta": 100000,
  "tie_word_embeddings": true,
  "torch_dtype": "float16",
  "transformers.js_config": {
    "kv_cache_dtype": {
      "fp16": "float16",
      "q4f16": "float16"
    }
  },
  "transformers_version": "4.47.1",
  "use_cache": true,
  "vocab_size": 49152
}