Instructions to use yujiepan/kimi-k2.6-tiny-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yujiepan/kimi-k2.6-tiny-random with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="yujiepan/kimi-k2.6-tiny-random", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("yujiepan/kimi-k2.6-tiny-random", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "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": 163586, | |
| "ignore_index": -100, | |
| "media_placeholder_token_id": 163605, | |
| "model_type": "kimi_k25", | |
| "pad_token_id": 163839, | |
| "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, | |
| "bos_token_id": 163584, | |
| "chunk_size_feed_forward": 0, | |
| "cross_attention_hidden_size": null, | |
| "decoder_start_token_id": null, | |
| "dtype": "bfloat16", | |
| "eos_token_id": 163586, | |
| "ep_size": 1, | |
| "finetuning_task": null, | |
| "first_k_dense_replace": 1, | |
| "head_dim": 64, | |
| "hidden_act": "silu", | |
| "hidden_size": 8, | |
| "id2label": { | |
| "0": "LABEL_0", | |
| "1": "LABEL_1" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 32, | |
| "is_decoder": false, | |
| "is_encoder_decoder": false, | |
| "kv_lora_rank": 512, | |
| "label2id": { | |
| "LABEL_0": 0, | |
| "LABEL_1": 1 | |
| }, | |
| "max_position_embeddings": 262144, | |
| "model_type": "deepseek_v3", | |
| "moe_intermediate_size": 32, | |
| "moe_layer_freq": 1, | |
| "n_group": 1, | |
| "n_routed_experts": 384, | |
| "n_shared_experts": 1, | |
| "norm_topk_prob": true, | |
| "num_attention_heads": 4, | |
| "num_experts_per_tok": 8, | |
| "num_hidden_layers": 2, | |
| "num_key_value_heads": 4, | |
| "num_nextn_predict_layers": 0, | |
| "output_attentions": false, | |
| "output_hidden_states": false, | |
| "pad_token_id": 163839, | |
| "prefix": null, | |
| "pretraining_tp": 1, | |
| "problem_type": null, | |
| "pruned_heads": {}, | |
| "q_lora_rank": 32, | |
| "qk_head_dim": 192, | |
| "qk_nope_head_dim": 128, | |
| "qk_rope_head_dim": 64, | |
| "return_dict": true, | |
| "rms_norm_eps": 1e-05, | |
| "rope_interleave": true, | |
| "rope_parameters": { | |
| "beta_fast": 32.0, | |
| "beta_slow": 1.0, | |
| "factor": 64.0, | |
| "mscale": 1.0, | |
| "mscale_all_dim": 1.0, | |
| "original_max_position_embeddings": 4096, | |
| "rope_theta": 50000.0, | |
| "rope_type": "yarn", | |
| "type": "yarn" | |
| }, | |
| "routed_scaling_factor": 2.827, | |
| "scoring_func": "sigmoid", | |
| "sep_token_id": null, | |
| "seq_aux": true, | |
| "task_specific_params": null, | |
| "tf_legacy_loss": false, | |
| "tie_encoder_decoder": false, | |
| "tie_word_embeddings": false, | |
| "tokenizer_class": null, | |
| "topk_group": 1, | |
| "topk_method": "noaux_tc", | |
| "torchscript": false, | |
| "use_bfloat16": false, | |
| "use_cache": true, | |
| "v_head_dim": 128, | |
| "vocab_size": 163840 | |
| }, | |
| "tie_word_embeddings": false, | |
| "transformers_version": "5.5.0", | |
| "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": 64, | |
| "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": 8, | |
| "video_attn_type": "spatial_temporal", | |
| "vt_hidden_size": 64, | |
| "vt_intermediate_size": 128, | |
| "vt_num_attention_heads": 2, | |
| "vt_num_hidden_layers": 2 | |
| } | |
| } | |