Add W8A16 AutoRound: config.json
Browse files- W8A16-AutoRound/config.json +84 -0
W8A16-AutoRound/config.json
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{
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"architectures": [
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"Lfm2ForCausalLM"
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],
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"block_auto_adjust_ff_dim": false,
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"block_dim": 2048,
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"block_ff_dim": 10752,
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"block_ffn_dim_multiplier": 1.0,
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"block_mlp_init_scale": 1.0,
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"block_multiple_of": 256,
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"block_norm_eps": 1e-05,
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"block_out_init_scale": 1.0,
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"block_use_swiglu": true,
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"block_use_xavier_init": true,
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"bos_token_id": 1,
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"conv_L_cache": 3,
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"conv_bias": false,
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"conv_dim": 2048,
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"conv_dim_out": 2048,
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"conv_use_xavier_init": true,
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"dtype": "bfloat16",
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"eos_token_id": 7,
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"hidden_size": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 10752,
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"layer_types": [
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"conv",
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"conv",
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"full_attention",
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"conv",
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"conv",
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"full_attention",
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"conv",
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"conv",
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"conv",
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"full_attention",
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"conv",
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"conv",
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"conv",
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"full_attention",
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"conv",
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"conv",
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"conv",
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"full_attention",
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"conv",
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"conv",
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"conv",
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"full_attention",
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"conv",
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"conv",
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"full_attention",
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"conv",
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"conv",
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"full_attention",
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"conv",
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"conv"
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],
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"max_position_embeddings": 128000,
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"model_type": "lfm2",
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"norm_eps": 1e-05,
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"num_attention_heads": 32,
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"num_heads": 32,
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"num_hidden_layers": 30,
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"num_key_value_heads": 8,
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"pad_token_id": 0,
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"quantization_config": {
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"autoround_version": "0.9.5",
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"bits": 8,
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"data_type": "int",
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"group_size": 128,
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"nsamples": 256,
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"packing_format": "auto_round:auto_gptq",
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"quant_method": "auto-round",
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"sym": true
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},
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"rope_theta": 1000000.0,
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"theta": 1000000.0,
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"tie_embedding": true,
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"transformers_version": "4.57.6",
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"use_cache": false,
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"use_grouped_mm": true,
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"use_pos_enc": true,
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"vocab_size": 65536
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}
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