xinhe's picture
Upload folder using huggingface_hub
2d2ed9a verified
{
"architectures": [
"KimiK25ForConditionalGeneration"
],
"auto_map": {
"AutoConfig": "configuration_kimi_k25.KimiK25Config",
"AutoModel": "modeling_kimi_k25.KimiK25ForConditionalGeneration",
"AutoModelForCausalLM": "modeling_kimi_k25.KimiK25ForConditionalGeneration"
},
"bos_token_id": 163584,
"dtype": "bfloat16",
"eos_token_id": 163585,
"ignore_index": -100,
"media_placeholder_token_id": 163605,
"model_type": "kimi_k25",
"pad_token_id": 163839,
"quantization_config": {
"config_groups": {
"group_0": {
"format": null,
"input_activations": {
"actorder": null,
"block_structure": null,
"dynamic": true,
"group_size": 32,
"num_bits": 4,
"observer": null,
"observer_kwargs": {},
"scale_dtype": "torch.uint8",
"strategy": "group",
"symmetric": true,
"type": "float",
"zp_dtype": null
},
"output_activations": null,
"targets": [
"Linear"
],
"weights": {
"actorder": null,
"block_structure": null,
"dynamic": false,
"group_size": 32,
"num_bits": 4,
"observer": "memoryless_minmax",
"observer_kwargs": {},
"scale_dtype": "torch.uint8",
"strategy": "group",
"symmetric": true,
"type": "float",
"zp_dtype": null
}
}
},
"format": "mxfp4-pack-quantized",
"global_compression_ratio": null,
"ignore": [
"re:.*vision_tower.*",
"re:.*mm_projector.*",
"vision_tower.encoder.blocks.0.mlp.fc0",
"vision_tower.encoder.blocks.0.mlp.fc1",
"vision_tower.encoder.blocks.0.wqkv",
"vision_tower.encoder.blocks.0.wo",
"vision_tower.encoder.blocks.1.mlp.fc0",
"vision_tower.encoder.blocks.1.mlp.fc1",
"vision_tower.encoder.blocks.1.wqkv",
"vision_tower.encoder.blocks.1.wo",
"vision_tower.encoder.blocks.2.mlp.fc0",
"vision_tower.encoder.blocks.2.mlp.fc1",
"vision_tower.encoder.blocks.2.wqkv",
"vision_tower.encoder.blocks.2.wo",
"vision_tower.encoder.blocks.3.mlp.fc0",
"vision_tower.encoder.blocks.3.mlp.fc1",
"vision_tower.encoder.blocks.3.wqkv",
"vision_tower.encoder.blocks.3.wo",
"vision_tower.encoder.blocks.4.mlp.fc0",
"vision_tower.encoder.blocks.4.mlp.fc1",
"vision_tower.encoder.blocks.4.wqkv",
"vision_tower.encoder.blocks.4.wo",
"vision_tower.encoder.blocks.5.mlp.fc0",
"vision_tower.encoder.blocks.5.mlp.fc1",
"vision_tower.encoder.blocks.5.wqkv",
"vision_tower.encoder.blocks.5.wo",
"vision_tower.encoder.blocks.6.mlp.fc0",
"vision_tower.encoder.blocks.6.mlp.fc1",
"vision_tower.encoder.blocks.6.wqkv",
"vision_tower.encoder.blocks.6.wo",
"vision_tower.encoder.blocks.7.mlp.fc0",
"vision_tower.encoder.blocks.7.mlp.fc1",
"vision_tower.encoder.blocks.7.wqkv",
"vision_tower.encoder.blocks.7.wo",
"vision_tower.encoder.blocks.8.mlp.fc0",
"vision_tower.encoder.blocks.8.mlp.fc1",
"vision_tower.encoder.blocks.8.wqkv",
"vision_tower.encoder.blocks.8.wo",
"vision_tower.encoder.blocks.9.mlp.fc0",
"vision_tower.encoder.blocks.9.mlp.fc1",
"vision_tower.encoder.blocks.9.wqkv",
"vision_tower.encoder.blocks.9.wo",
"vision_tower.encoder.blocks.10.mlp.fc0",
"vision_tower.encoder.blocks.10.mlp.fc1",
"vision_tower.encoder.blocks.10.wqkv",
"vision_tower.encoder.blocks.10.wo",
"vision_tower.encoder.blocks.11.mlp.fc0",
"vision_tower.encoder.blocks.11.mlp.fc1",
"vision_tower.encoder.blocks.11.wqkv",
"vision_tower.encoder.blocks.11.wo",
"vision_tower.encoder.blocks.12.mlp.fc0",
"vision_tower.encoder.blocks.12.mlp.fc1",
"vision_tower.encoder.blocks.12.wqkv",
"vision_tower.encoder.blocks.12.wo",
"vision_tower.encoder.blocks.13.mlp.fc0",
"vision_tower.encoder.blocks.13.mlp.fc1",
"vision_tower.encoder.blocks.13.wqkv",
"vision_tower.encoder.blocks.13.wo",
"vision_tower.encoder.blocks.14.mlp.fc0",
"vision_tower.encoder.blocks.14.mlp.fc1",
"vision_tower.encoder.blocks.14.wqkv",
"vision_tower.encoder.blocks.14.wo",
"vision_tower.encoder.blocks.15.mlp.fc0",
"vision_tower.encoder.blocks.15.mlp.fc1",
"vision_tower.encoder.blocks.15.wqkv",
"vision_tower.encoder.blocks.15.wo",
"vision_tower.encoder.blocks.16.mlp.fc0",
"vision_tower.encoder.blocks.16.mlp.fc1",
"vision_tower.encoder.blocks.16.wqkv",
"vision_tower.encoder.blocks.16.wo",
"vision_tower.encoder.blocks.17.mlp.fc0",
"vision_tower.encoder.blocks.17.mlp.fc1",
"vision_tower.encoder.blocks.17.wqkv",
"vision_tower.encoder.blocks.17.wo",
"vision_tower.encoder.blocks.18.mlp.fc0",
"vision_tower.encoder.blocks.18.mlp.fc1",
"vision_tower.encoder.blocks.18.wqkv",
"vision_tower.encoder.blocks.18.wo",
"vision_tower.encoder.blocks.19.mlp.fc0",
"vision_tower.encoder.blocks.19.mlp.fc1",
"vision_tower.encoder.blocks.19.wqkv",
"vision_tower.encoder.blocks.19.wo",
"vision_tower.encoder.blocks.20.mlp.fc0",
"vision_tower.encoder.blocks.20.mlp.fc1",
"vision_tower.encoder.blocks.20.wqkv",
"vision_tower.encoder.blocks.20.wo",
"vision_tower.encoder.blocks.21.mlp.fc0",
"vision_tower.encoder.blocks.21.mlp.fc1",
"vision_tower.encoder.blocks.21.wqkv",
"vision_tower.encoder.blocks.21.wo",
"vision_tower.encoder.blocks.22.mlp.fc0",
"vision_tower.encoder.blocks.22.mlp.fc1",
"vision_tower.encoder.blocks.22.wqkv",
"vision_tower.encoder.blocks.22.wo",
"vision_tower.encoder.blocks.23.mlp.fc0",
"vision_tower.encoder.blocks.23.mlp.fc1",
"vision_tower.encoder.blocks.23.wqkv",
"vision_tower.encoder.blocks.23.wo",
"vision_tower.encoder.blocks.24.mlp.fc0",
"vision_tower.encoder.blocks.24.mlp.fc1",
"vision_tower.encoder.blocks.24.wqkv",
"vision_tower.encoder.blocks.24.wo",
"vision_tower.encoder.blocks.25.mlp.fc0",
"vision_tower.encoder.blocks.25.mlp.fc1",
"vision_tower.encoder.blocks.25.wqkv",
"vision_tower.encoder.blocks.25.wo",
"vision_tower.encoder.blocks.26.mlp.fc0",
"vision_tower.encoder.blocks.26.mlp.fc1",
"vision_tower.encoder.blocks.26.wqkv",
"vision_tower.encoder.blocks.26.wo",
"mm_projector.proj.0",
"mm_projector.proj.2",
"language_model.lm_head"
],
"kv_cache_scheme": null,
"provider": "auto-round",
"quant_method": "compressed-tensors",
"quantization_status": "compressed"
},
"text_config": {
"_name_or_path": "",
"add_cross_attention": false,
"architectures": [
"DeepseekV3ForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"auto_map": {
"AutoConfig": "configuration_deepseek.DeepseekV3Config",
"AutoModel": "modeling_deepseek.DeepseekV3Model",
"AutoModelForCausalLM": "modeling_deepseek.DeepseekV3ForCausalLM"
},
"aux_loss_alpha": 0.001,
"bad_words_ids": null,
"begin_suppress_tokens": null,
"bos_token_id": 163584,
"chunk_size_feed_forward": 0,
"cross_attention_hidden_size": null,
"decoder_start_token_id": null,
"diversity_penalty": 0.0,
"do_sample": false,
"dtype": "bfloat16",
"early_stopping": false,
"encoder_no_repeat_ngram_size": 0,
"eos_token_id": 163585,
"ep_size": 1,
"exponential_decay_length_penalty": null,
"finetuning_task": null,
"first_k_dense_replace": 1,
"forced_bos_token_id": null,
"forced_eos_token_id": null,
"hidden_act": "silu",
"hidden_size": 7168,
"id2label": {
"0": "LABEL_0",
"1": "LABEL_1"
},
"initializer_range": 0.02,
"intermediate_size": 18432,
"is_decoder": false,
"is_encoder_decoder": false,
"kv_lora_rank": 512,
"label2id": {
"LABEL_0": 0,
"LABEL_1": 1
},
"length_penalty": 1.0,
"max_length": 20,
"max_position_embeddings": 262144,
"min_length": 0,
"model_type": "deepseek_v3",
"moe_intermediate_size": 2048,
"moe_layer_freq": 1,
"n_group": 1,
"n_routed_experts": 384,
"n_shared_experts": 1,
"no_repeat_ngram_size": 0,
"norm_topk_prob": true,
"num_attention_heads": 64,
"num_beam_groups": 1,
"num_beams": 1,
"num_experts_per_tok": 8,
"num_hidden_layers": 61,
"num_key_value_heads": 64,
"num_nextn_predict_layers": 0,
"num_return_sequences": 1,
"output_attentions": false,
"output_hidden_states": false,
"output_scores": false,
"pad_token_id": 163839,
"prefix": null,
"pretraining_tp": 1,
"problem_type": null,
"pruned_heads": {},
"q_lora_rank": 1536,
"qk_nope_head_dim": 128,
"qk_rope_head_dim": 64,
"remove_invalid_values": false,
"repetition_penalty": 1.0,
"return_dict": true,
"return_dict_in_generate": false,
"rms_norm_eps": 1e-05,
"rope_scaling": {
"beta_fast": 32.0,
"beta_slow": 1.0,
"factor": 64.0,
"mscale": 1.0,
"mscale_all_dim": 1.0,
"original_max_position_embeddings": 4096,
"type": "yarn"
},
"rope_theta": 50000.0,
"routed_scaling_factor": 2.827,
"scoring_func": "sigmoid",
"sep_token_id": null,
"seq_aux": true,
"suppress_tokens": null,
"task_specific_params": null,
"temperature": 1.0,
"tf_legacy_loss": false,
"tie_encoder_decoder": false,
"tie_word_embeddings": false,
"tokenizer_class": null,
"top_k": 50,
"top_p": 1.0,
"topk_group": 1,
"topk_method": "noaux_tc",
"torchscript": false,
"typical_p": 1.0,
"use_bfloat16": false,
"use_cache": true,
"v_head_dim": 128,
"vocab_size": 163840
},
"tie_word_embeddings": false,
"transformers_version": "4.57.6",
"use_unified_vision_chunk": true,
"video_placeholder": "<|kimi_k25_video_placeholder|>",
"vision_config": {
"init_pos_emb_height": 64,
"init_pos_emb_time": 4,
"init_pos_emb_width": 64,
"merge_kernel_size": [
2,
2
],
"merge_type": "sd2_tpool",
"mm_hidden_size": 1152,
"mm_projector_type": "patchmerger",
"model_type": "",
"patch_size": 14,
"pos_emb_type": "divided_fixed",
"projector_hidden_act": "gelu",
"projector_ln_eps": 1e-05,
"text_hidden_size": 7168,
"video_attn_type": "spatial_temporal",
"vt_hidden_size": 1152,
"vt_intermediate_size": 4304,
"vt_num_attention_heads": 16,
"vt_num_hidden_layers": 27
}
}