config.json

{
  "architectures": [
    "SmolLM3ForCausalLM"
  ],
  "attention_bias": false,
  "attention_dropout": 0.0,
  "bos_token_id": 128000,
  "eos_token_id": 128012,
  "hidden_act": "silu",
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  "initializer_range": 0.02,
  "intermediate_size": 11008,
  "layer_types": [
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    "full_attention",
    "full_attention",
    "full_attention",
    "full_attention",
    "full_attention",
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    "full_attention",
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    "full_attention",
    "full_attention",
    "full_attention",
    "full_attention"
  ],
  "max_position_embeddings": 65536,
  "max_window_layers": 28,
  "mlp_bias": false,
  "model_type": "smollm3",
  "no_rope_layer_interval": 4,
  "no_rope_layers": [
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  "num_attention_heads": 16,
  "num_hidden_layers": 36,
  "num_key_value_heads": 4,
  "pad_token_id": 128004,
  "pretraining_tp": 2,
  "rms_norm_eps": 1e-06,
  "rope_scaling": null,
  "rope_theta": 5000000.0,
  "sliding_window": null,
  "torch_dtype": "bfloat16",
  "transformers_version": "4.54.0.dev0",
  "use_cache": false,
  "use_sliding_window": false,
  "vocab_size": 128256,
  "quantization_config": {
    "config_groups": {
      "group_0": {
        "input_activations": {
          "actorder": null,
          "block_structure": null,
          "dynamic": true,
          "group_size": null,
          "num_bits": 8,
          "observer": null,
          "observer_kwargs": {},
          "strategy": "token",
          "symmetric": true,
          "type": "float"
        },
        "output_activations": null,
        "targets": [
          "Linear"
        ],
        "weights": {
          "actorder": null,
          "block_structure": null,
          "dynamic": false,
          "group_size": null,
          "num_bits": 8,
          "observer": "minmax",
          "observer_kwargs": {},
          "strategy": "channel",
          "symmetric": true,
          "type": "float"
        }
      }
    },
    "format": "float-quantized",
    "global_compression_ratio": null,
    "ignore": [
      "lm_head"
    ],
    "kv_cache_scheme": null,
    "quant_method": "compressed-tensors",
    "quantization_status": "compressed"
  }
}