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Add W2A16 AutoRound quantized: config.json
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{
"architectures": [
"Lfm2ForCausalLM"
],
"block_auto_adjust_ff_dim": false,
"block_dim": 2048,
"block_ff_dim": 10752,
"block_ffn_dim_multiplier": 1.0,
"block_mlp_init_scale": 1.0,
"block_multiple_of": 256,
"block_norm_eps": 1e-05,
"block_out_init_scale": 1.0,
"block_use_swiglu": true,
"block_use_xavier_init": true,
"bos_token_id": 1,
"conv_L_cache": 3,
"conv_bias": false,
"conv_dim": 2048,
"conv_dim_out": 2048,
"conv_use_xavier_init": true,
"dtype": "bfloat16",
"eos_token_id": 7,
"hidden_size": 2048,
"initializer_range": 0.02,
"intermediate_size": 10752,
"layer_types": [
"conv",
"conv",
"full_attention",
"conv",
"conv",
"full_attention",
"conv",
"conv",
"conv",
"full_attention",
"conv",
"conv",
"conv",
"full_attention",
"conv",
"conv",
"conv",
"full_attention",
"conv",
"conv",
"conv",
"full_attention",
"conv",
"conv",
"full_attention",
"conv",
"conv",
"full_attention",
"conv",
"conv"
],
"max_position_embeddings": 128000,
"model_type": "lfm2",
"norm_eps": 1e-05,
"num_attention_heads": 32,
"num_heads": 32,
"num_hidden_layers": 30,
"num_key_value_heads": 8,
"pad_token_id": 0,
"quantization_config": {
"autoround_version": "0.9.5",
"bits": 2,
"data_type": "int",
"group_size": 64,
"iters": 1000,
"lr": 0.002,
"minmax_lr": 0.002,
"nsamples": 1024,
"packing_format": "auto_round:auto_gptq",
"quant_method": "auto-round",
"sym": true
},
"rope_theta": 1000000.0,
"theta": 1000000.0,
"tie_embedding": true,
"transformers_version": "4.57.6",
"use_cache": false,
"use_grouped_mm": true,
"use_pos_enc": true,
"vocab_size": 65536
}