Instructions to use kernelpool/Kimi-K3-2bit-UVMAX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use kernelpool/Kimi-K3-2bit-UVMAX with MLX:
# Make sure mlx-vlm is installed # pip install --upgrade mlx-vlm from mlx_vlm import load, generate from mlx_vlm.prompt_utils import apply_chat_template from mlx_vlm.utils import load_config # Load the model model, processor = load("kernelpool/Kimi-K3-2bit-UVMAX") config = load_config("kernelpool/Kimi-K3-2bit-UVMAX") # Prepare input image = ["http://images.cocodataset.org/val2017/000000039769.jpg"] prompt = "Describe this image." # Apply chat template formatted_prompt = apply_chat_template( processor, config, prompt, num_images=1 ) # Generate output output = generate(model, processor, formatted_prompt, image) print(output) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
| { | |
| "architectures": [ | |
| "KimiK3ForConditionalGeneration" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration_kimi_k3.KimiK3Config", | |
| "AutoModel": "modeling_kimi_k3.KimiK3ForConditionalGeneration", | |
| "AutoModelForCausalLM": "modeling_kimi_k3.KimiK3ForConditionalGeneration" | |
| }, | |
| "bos_token_id": 163584, | |
| "dtype": "bfloat16", | |
| "eos_token_id": 163586, | |
| "ignore_index": -100, | |
| "image_placeholder": "<|kimi_image_placeholder|>", | |
| "media_placeholder_token_id": 163605, | |
| "model_type": "kimi_k3", | |
| "pad_token_id": 163839, | |
| "quantization": { | |
| "group_size": 32, | |
| "bits": 4, | |
| "mode": "mxfp4", | |
| "language_model.model.embed_tokens": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.0.self_attn.qkv_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.0.self_attn.f_a_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.0.self_attn.f_b_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.0.self_attn.b_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.0.self_attn.g_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.0.self_attn.o_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.0.mlp.gate_proj": { | |
| "bits": 8, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.0.mlp.up_proj": { | |
| "bits": 8, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.0.mlp.down_proj": { | |
| "bits": 8, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.1.self_attn.qkv_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.1.self_attn.f_a_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.1.self_attn.f_b_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.1.self_attn.b_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.1.self_attn.g_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.1.self_attn.o_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.1.mlp.gate": { | |
| "bits": 8, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.1.mlp.switch_mlp.gate_proj": { | |
| "bits": 2, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.1.mlp.switch_mlp.up_proj": { | |
| "bits": 2, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.1.mlp.switch_mlp.down_proj": { | |
| "bits": 2, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.1.mlp.routed_expert_down_proj": { | |
| "bits": 8, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.1.mlp.routed_expert_up_proj": { | |
| "bits": 8, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.1.mlp.shared_experts.gate_proj": { | |
| "bits": 8, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.1.mlp.shared_experts.up_proj": { | |
| "bits": 8, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.1.mlp.shared_experts.down_proj": { | |
| "bits": 8, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.2.self_attn.qkv_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.2.self_attn.f_a_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.2.self_attn.f_b_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.2.self_attn.b_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.2.self_attn.g_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.2.self_attn.o_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.2.mlp.gate": { | |
| "bits": 8, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.2.mlp.switch_mlp.gate_proj": { | |
| "bits": 2, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.2.mlp.switch_mlp.up_proj": { | |
| "bits": 2, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.2.mlp.switch_mlp.down_proj": { | |
| "bits": 2, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.2.mlp.routed_expert_down_proj": { | |
| "bits": 8, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.2.mlp.routed_expert_up_proj": { | |
| "bits": 8, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.2.mlp.shared_experts.gate_proj": { | |
| "bits": 8, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.2.mlp.shared_experts.up_proj": { | |
| "bits": 8, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.2.mlp.shared_experts.down_proj": { | |
| "bits": 8, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.3.self_attn.q_a_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.3.self_attn.q_b_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.3.self_attn.kv_a_proj_with_mqa": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.3.self_attn.embed_q": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.3.self_attn.unembed_out": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.3.self_attn.o_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.3.self_attn.g_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.3.mlp.gate": { | |
| "bits": 8, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.3.mlp.switch_mlp.gate_proj": { | |
| "bits": 2, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.3.mlp.switch_mlp.up_proj": { | |
| "bits": 2, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.3.mlp.switch_mlp.down_proj": { | |
| "bits": 2, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.3.mlp.routed_expert_down_proj": { | |
| "bits": 8, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.3.mlp.routed_expert_up_proj": { | |
| "bits": 8, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.3.mlp.shared_experts.gate_proj": { | |
| "bits": 8, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.3.mlp.shared_experts.up_proj": { | |
| "bits": 8, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.3.mlp.shared_experts.down_proj": { | |
| "bits": 8, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.4.self_attn.qkv_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.4.self_attn.f_a_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.4.self_attn.f_b_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.4.self_attn.b_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.4.self_attn.g_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.4.self_attn.o_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.4.mlp.gate": { | |
| "bits": 8, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.4.mlp.switch_mlp.gate_proj": { | |
| "bits": 2, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.4.mlp.switch_mlp.up_proj": { | |
| "bits": 2, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.4.mlp.switch_mlp.down_proj": { | |
| "bits": 2, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.4.mlp.routed_expert_down_proj": { | |
| "bits": 8, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.4.mlp.routed_expert_up_proj": { | |
| "bits": 8, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.4.mlp.shared_experts.gate_proj": { | |
| "bits": 8, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.4.mlp.shared_experts.up_proj": { | |
| "bits": 8, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.4.mlp.shared_experts.down_proj": { | |
| "bits": 8, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.5.self_attn.qkv_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.5.self_attn.f_a_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.5.self_attn.f_b_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.5.self_attn.b_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.5.self_attn.g_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.5.self_attn.o_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.5.mlp.gate": { | |
| "bits": 8, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.5.mlp.switch_mlp.gate_proj": { | |
| "bits": 2, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.5.mlp.switch_mlp.up_proj": { | |
| "bits": 2, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.5.mlp.switch_mlp.down_proj": { | |
| "bits": 2, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.5.mlp.routed_expert_down_proj": { | |
| "bits": 8, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.5.mlp.routed_expert_up_proj": { | |
| "bits": 8, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.5.mlp.shared_experts.gate_proj": { | |
| "bits": 8, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.5.mlp.shared_experts.up_proj": { | |
| "bits": 8, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.5.mlp.shared_experts.down_proj": { | |
| "bits": 8, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.6.self_attn.qkv_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.6.self_attn.f_a_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.6.self_attn.f_b_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.6.self_attn.b_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.6.self_attn.g_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.6.self_attn.o_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.6.mlp.gate": { | |
| "bits": 8, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.6.mlp.switch_mlp.gate_proj": { | |
| "bits": 2, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.6.mlp.switch_mlp.up_proj": { | |
| "bits": 2, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.6.mlp.switch_mlp.down_proj": { | |
| "bits": 2, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.6.mlp.routed_expert_down_proj": { | |
| "bits": 8, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.6.mlp.routed_expert_up_proj": { | |
| "bits": 8, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.6.mlp.shared_experts.gate_proj": { | |
| "bits": 8, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.6.mlp.shared_experts.up_proj": { | |
| "bits": 8, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.6.mlp.shared_experts.down_proj": { | |
| "bits": 8, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.7.self_attn.q_a_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.7.self_attn.q_b_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.7.self_attn.kv_a_proj_with_mqa": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.7.self_attn.embed_q": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.7.self_attn.unembed_out": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.7.self_attn.o_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.7.self_attn.g_proj": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.7.mlp.gate": { | |
| "bits": 8, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.7.mlp.switch_mlp.gate_proj": { | |
| "bits": 2, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.7.mlp.switch_mlp.up_proj": { | |
| "bits": 2, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "language_model.model.layers.7.mlp.switch_mlp.down_proj": { | |
| "bits": 2, | |
| "group_size": 128, | |
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| "attn_bias": false, | |
| "init_pos_emb_height": 64, | |
| "init_pos_emb_time": 4, | |
| "init_pos_emb_width": 64, | |
| "linear_bias": false, | |
| "merge_kernel_size": [ | |
| 2, | |
| 2 | |
| ], | |
| "merge_type": "sd2_tpool", | |
| "mlp_type": "mlp2", | |
| "mm_hidden_size": 1024, | |
| "mm_projector_type": "patchmergerv2", | |
| "norm_type": "rmsnorm", | |
| "patch_embed_proj_bias": false, | |
| "patch_size": 14, | |
| "pos_emb_interpolation_mode": "bilinear", | |
| "pos_emb_type": "divided_fixed", | |
| "projector_hidden_act": "gelu", | |
| "projector_ln_eps": 1e-05, | |
| "qkv_hidden_size": 1536, | |
| "text_hidden_size": 7168, | |
| "vt_hidden_size": 1024, | |
| "vt_intermediate_size": 4096, | |
| "vt_num_attention_heads": 12, | |
| "vt_num_hidden_layers": 27 | |
| } | |
| } |