DeepSeek-V2.5-W4A16 / config.json
mgoin's picture
Updated compression_config to quantization_config
11d3311 verified
{
"_name_or_path": "/home/dsikka/.cache/huggingface/hub/models--deepseek-ai--DeepSeek-V2.5/snapshots/24b08cb750e0c2757de112d2e16327cb21ed4833",
"architectures": [
"DeepseekV2ForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"auto_map": {
"AutoConfig": "configuration_deepseek.DeepseekV2Config",
"AutoModel": "modeling_deepseek.DeepseekV2Model",
"AutoModelForCausalLM": "modeling_deepseek.DeepseekV2ForCausalLM"
},
"aux_loss_alpha": 0.001,
"bos_token_id": 100000,
"eos_token_id": 100001,
"ep_size": 1,
"first_k_dense_replace": 1,
"hidden_act": "silu",
"hidden_size": 5120,
"initializer_range": 0.02,
"intermediate_size": 12288,
"kv_lora_rank": 512,
"max_position_embeddings": 163840,
"model_type": "deepseek_v2",
"moe_intermediate_size": 1536,
"moe_layer_freq": 1,
"n_group": 8,
"n_routed_experts": 160,
"n_shared_experts": 2,
"norm_topk_prob": false,
"num_attention_heads": 128,
"num_experts_per_tok": 6,
"num_hidden_layers": 60,
"num_key_value_heads": 128,
"pretraining_tp": 1,
"q_lora_rank": 1536,
"qk_nope_head_dim": 128,
"qk_rope_head_dim": 64,
"rms_norm_eps": 1e-06,
"rope_scaling": {
"beta_fast": 32,
"beta_slow": 1,
"factor": 40,
"mscale": 1.0,
"mscale_all_dim": 1.0,
"original_max_position_embeddings": 4096,
"type": "yarn"
},
"rope_theta": 10000,
"routed_scaling_factor": 16.0,
"scoring_func": "softmax",
"seq_aux": true,
"tie_word_embeddings": false,
"topk_group": 3,
"topk_method": "group_limited_greedy",
"torch_dtype": "bfloat16",
"transformers_version": "4.44.2",
"use_cache": true,
"v_head_dim": 128,
"vocab_size": 102400,
"quantization_config": {
"config_groups": {
"group_0": {
"input_activations": null,
"output_activations": null,
"targets": [
"Linear"
],
"weights": {
"actorder": null,
"block_structure": null,
"dynamic": false,
"group_size": null,
"num_bits": 4,
"observer": "minmax",
"observer_kwargs": {},
"strategy": "channel",
"symmetric": true,
"type": "int"
}
}
},
"format": "pack-quantized",
"global_compression_ratio": 2.265805157986176,
"ignore": [
"lm_head"
],
"kv_cache_scheme": null,
"quant_method": "compressed-tensors",
"quantization_status": "compressed",
"sparsity_config": {
"format": "dense",
"global_sparsity": 0.21918901165186397,
"registry_requires_subclass": false,
"sparsity_structure": "unstructured"
}
}
}