config.json

{
  "_name_or_path": "HuggingFaceTB/SmolLM2-1.7B-Instruct",
  "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": 2048,
  "initializer_range": 0.02,
  "intermediate_size": 8192,
  "max_position_embeddings": 8192,
  "mlp_bias": false,
  "model_type": "llama",
  "num_attention_heads": 32,
  "num_hidden_layers": 24,
  "num_key_value_heads": 32,
  "pad_token_id": 2,
  "pretraining_tp": 1,
  "quantization_config": {
    "amp": false,
    "autoround_version": "0.4.0.dev",
    "backend": "auto_round:gptq:exllamav2",
    "bits": 4,
    "data_type": "int",
    "dataset": "NeelNanda/pile-10k",
    "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": "intel/auto-round",
    "scale_dtype": "torch.float16",
    "seqlen": 512,
    "sym": true,
    "train_bs": 4
  },
  "rms_norm_eps": 1e-05,
  "rope_scaling": null,
  "rope_theta": 130000,
  "tie_word_embeddings": true,
  "torch_dtype": "float32",
  "transformers.js_config": {
    "kv_cache_dtype": {
      "fp16": "float16",
      "q4f16": "float16"
    }
  },
  "transformers_version": "4.45.2",
  "use_cache": true,
  "vocab_size": 49152
}