MiniMax-M2.5.w4a16 / config.json
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{
"architectures": [
"MiniMaxM2ForCausalLM"
],
"attention_dropout": 0.0,
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"auto_map": {
"AutoConfig": "configuration_minimax_m2.MiniMaxM2Config",
"AutoModelForCausalLM": "modeling_minimax_m2.MiniMaxM2ForCausalLM"
},
"bos_token_id": 1,
"dtype": "bfloat16",
"eos_token_id": 2,
"head_dim": 128,
"hidden_act": "silu",
"hidden_size": 3072,
"initializer_range": 0.02,
"intermediate_size": 1536,
"max_position_embeddings": 196608,
"model_type": "minimax_m2",
"mtp_transformer_layers": 1,
"num_attention_heads": 48,
"num_experts_per_tok": 8,
"num_hidden_layers": 62,
"num_key_value_heads": 8,
"num_local_experts": 256,
"num_mtp_modules": 3,
"output_router_logits": false,
"partial_rotary_factor": 0.5,
"qk_norm_type": "per_layer",
"quantization_config": {
"config_groups": {
"group_0": {
"format": "pack-quantized",
"input_activations": null,
"output_activations": null,
"targets": [
"Linear"
],
"weights": {
"actorder": "static",
"block_structure": null,
"dynamic": false,
"group_size": 128,
"num_bits": 4,
"observer": "mse",
"observer_kwargs": {},
"scale_dtype": null,
"strategy": "group",
"symmetric": true,
"type": "int",
"zp_dtype": null
}
}
},
"format": "pack-quantized",
"global_compression_ratio": null,
"ignore": [
"lm_head"
],
"kv_cache_scheme": null,
"quant_method": "compressed-tensors",
"quantization_status": "compressed",
"sparsity_config": {},
"transform_config": {},
"version": "0.14.0.1"
},
"rms_norm_eps": 1e-06,
"rope_theta": 5000000,
"rotary_dim": 64,
"router_aux_loss_coef": 0.001,
"router_jitter_noise": 0.0,
"scoring_func": "sigmoid",
"shared_intermediate_size": 0,
"sliding_window": null,
"tie_word_embeddings": false,
"transformers_version": "4.57.6",
"use_cache": true,
"use_mtp": true,
"use_qk_norm": true,
"use_routing_bias": true,
"vocab_size": 200064
}