{
  "_name_or_path": "EleutherAI/pythia-14m",
  "architectures": [
    "GPTNeoXForCausalLM"
  ],
  "attention_bias": true,
  "attention_dropout": 0.0,
  "bos_token_id": 0,
  "classifier_dropout": 0.1,
  "eos_token_id": 0,
  "hidden_act": "gelu",
  "hidden_dropout": 0.0,
  "hidden_size": 128,
  "initializer_range": 0.02,
  "intermediate_size": 512,
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 2048,
  "model_type": "gpt_neox",
  "num_attention_heads": 4,
  "num_hidden_layers": 6,
  "partial_rotary_factor": 0.25,
  "quantization_config": {
    "amp": false,
    "autoround_version": "0.4.0.dev",
    "bits": 4,
    "damp_percent": 0.01,
    "data_type": "int",
    "desc_act": false,
    "enable_minmax_tuning": true,
    "enable_norm_bias_tuning": false,
    "enable_quanted_input": true,
    "gradient_accumulate_steps": 1,
    "group_size": 128,
    "iters": 200,
    "low_gpu_mem_usage": false,
    "lr": 0.005,
    "minmax_lr": 0.005,
    "nsamples": 128,
    "quant_block_list": null,
    "quant_method": "gptq",
    "scale_dtype": "torch.float16",
    "seqlen": 512,
    "sym": false,
    "train_bs": 4,
    "true_sequential": false
  },
  "rope_scaling": null,
  "rope_theta": 10000,
  "rotary_emb_base": 10000,
  "rotary_pct": 0.25,
  "tie_word_embeddings": false,
  "torch_dtype": "float32",
  "transformers_version": "4.45.2",
  "use_cache": true,
  "use_parallel_residual": true,
  "vocab_size": 50304
}