Image-Text-to-Text
MLX
Safetensors
English
Chinese
glm5_next
glm
glm-5
apple-silicon
quantized
2-8bit
Mixture of Experts
vision-language
multimodal
orcasaq
dynamic-quant
reasoning
conversational
4-bit precision
Instructions to use orcarouter/GLM-5.3-Flash-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use orcarouter/GLM-5.3-Flash-MLX 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("orcarouter/GLM-5.3-Flash-MLX") config = load_config("orcarouter/GLM-5.3-Flash-MLX") # 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
- Pi
How to use orcarouter/GLM-5.3-Flash-MLX with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "orcarouter/GLM-5.3-Flash-MLX"
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "mlx-lm": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "orcarouter/GLM-5.3-Flash-MLX" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent
How to use orcarouter/GLM-5.3-Flash-MLX with Hermes Agent:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "orcarouter/GLM-5.3-Flash-MLX"
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default orcarouter/GLM-5.3-Flash-MLX
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use orcarouter/GLM-5.3-Flash-MLX with OpenClaw:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "orcarouter/GLM-5.3-Flash-MLX"
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "orcarouter/GLM-5.3-Flash-MLX" \ --custom-provider-id mlx-lm \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
| { | |
| "architectures": [ | |
| "Glm5NextForConditionalGeneration" | |
| ], | |
| "text_config": { | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "dtype": "bfloat16", | |
| "eos_token_id": [ | |
| 154820, | |
| 154827, | |
| 154829 | |
| ], | |
| "first_k_dense_replace": 3, | |
| "hc_eps": 1e-06, | |
| "hc_mult": 4, | |
| "hc_sinkhorn_iters": 20, | |
| "head_dim": 0, | |
| "hidden_act": "silu", | |
| "hidden_size": 4096, | |
| "index_head_dim": 128, | |
| "index_kpool": 4, | |
| "index_kpool_always_select_tail": true, | |
| "index_kpool_compress": true, | |
| "index_n_heads": 32, | |
| "index_topk": 2048, | |
| "index_share_for_mtp_iteration": true, | |
| "indexer_rope_interleave": true, | |
| "indexer_types": [ | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full", | |
| "full" | |
| ], | |
| "initializer_range": 0.02, | |
| "intermediate_size": 12288, | |
| "kv_lora_rank": 512, | |
| "layer_types": [ | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "deepseek_sparse_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "deepseek_sparse_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "deepseek_sparse_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "deepseek_sparse_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "deepseek_sparse_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "deepseek_sparse_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "deepseek_sparse_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "deepseek_sparse_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "deepseek_sparse_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "deepseek_sparse_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "deepseek_sparse_attention", | |
| "linear_attention" | |
| ], | |
| "linear_attn_config": { | |
| "num_heads": 64, | |
| "gate_lower_bound": -5.0, | |
| "head_dim": 128, | |
| "short_conv_kernel_size": 4, | |
| "kda_layers": [ | |
| 0, | |
| 1, | |
| 2, | |
| 4, | |
| 5, | |
| 6, | |
| 8, | |
| 9, | |
| 10, | |
| 12, | |
| 13, | |
| 14, | |
| 16, | |
| 17, | |
| 18, | |
| 20, | |
| 21, | |
| 22, | |
| 24, | |
| 25, | |
| 26, | |
| 28, | |
| 29, | |
| 30, | |
| 32, | |
| 33, | |
| 34, | |
| 36, | |
| 37, | |
| 38, | |
| 40, | |
| 41, | |
| 42, | |
| 44 | |
| ], | |
| "full_attn_layers": [ | |
| 3, | |
| 7, | |
| 11, | |
| 15, | |
| 19, | |
| 23, | |
| 27, | |
| 31, | |
| 35, | |
| 39, | |
| 43 | |
| ] | |
| }, | |
| "max_position_embeddings": 1048576, | |
| "mhc": true, | |
| "mla_use_nope": true, | |
| "mlp_layer_types": [ | |
| "dense", | |
| "dense", | |
| "dense", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse" | |
| ], | |
| "model_type": "glm5_next_text", | |
| "moe_intermediate_size": 2048, | |
| "moe_router_dtype": "float32", | |
| "n_group": 1, | |
| "n_routed_experts": 288, | |
| "n_shared_experts": 1, | |
| "norm_topk_prob": true, | |
| "num_attention_heads": 64, | |
| "num_experts_per_tok": 8, | |
| "num_hidden_layers": 45, | |
| "num_key_value_heads": 64, | |
| "num_nextn_predict_layers": 1, | |
| "output_router_logits": false, | |
| "pad_token_id": 154820, | |
| "q_lora_rank": 1536, | |
| "qk_head_dim": 256, | |
| "qk_nope_head_dim": 256, | |
| "qk_rope_head_dim": 0, | |
| "rms_norm_eps": 1e-05, | |
| "routed_scaling_factor": 2.5, | |
| "router_aux_loss_coef": 0.001, | |
| "scoring_func": "sigmoid", | |
| "swiglu_limit": 10.0, | |
| "tie_word_embeddings": false, | |
| "topk_group": 1, | |
| "topk_method": "noaux_tc", | |
| "use_cache": true, | |
| "v_head_dim": 256, | |
| "vocab_size": 154880 | |
| }, | |
| "vision_config": { | |
| "attention_bias": true, | |
| "attention_dropout": 0.0, | |
| "depth": 24, | |
| "hidden_act": "silu", | |
| "hidden_size": 1024, | |
| "image_size": 448, | |
| "in_channels": 3, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 4096, | |
| "model_type": "glm5_next_vision", | |
| "num_heads": 16, | |
| "out_hidden_size": 4096, | |
| "patch_size": 14, | |
| "projection_intermediate_size": 10240, | |
| "rms_norm_eps": 1e-05, | |
| "spatial_merge_size": 2, | |
| "swiglu_limit": 10.0, | |
| "temporal_patch_size": 2 | |
| }, | |
| "image_token_id": 154854, | |
| "video_token_id": 154855, | |
| "image_start_token_id": 154830, | |
| "image_end_token_id": 154831, | |
| "video_start_token_id": 154832, | |
| "video_end_token_id": 154833, | |
| "tie_word_embeddings": false, | |
| "model_type": "glm5_next", | |
| "transformers_version": "5.16.0", | |
| "quantization": { | |
| "group_size": 32, | |
| "bits": 2, | |
| "model.layers.0.mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.1.mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.2.mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.3.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.3.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.3.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.3.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.4.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.4.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.4.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.4.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.5.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.5.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.5.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.5.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.6.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.6.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.6.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.6.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.7.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.7.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.7.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.7.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.8.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.8.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.8.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.8.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.9.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.9.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.9.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.9.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.10.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.10.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.10.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.10.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.11.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.11.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.11.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.11.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.12.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.12.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.12.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.12.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.13.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.13.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.13.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.13.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.14.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.14.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.14.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.14.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.15.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.15.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.15.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.15.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.16.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.16.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.16.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.16.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.17.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.17.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.17.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.17.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.18.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.18.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.18.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.18.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.19.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.19.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.19.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.19.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.20.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.20.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.20.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.20.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.21.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.21.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.21.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.21.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.22.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.22.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.22.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.22.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.23.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.23.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.23.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.23.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.24.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.24.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.24.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.24.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.25.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.25.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.25.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.25.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.26.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.26.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.26.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.26.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.27.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.27.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.27.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.27.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.28.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.28.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.28.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.28.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.29.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.29.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.29.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.29.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.30.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.30.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.30.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.30.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.31.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.31.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.31.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.31.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.32.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.32.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.32.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.32.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.33.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.33.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.33.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.33.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.34.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.34.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.34.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.34.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.35.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.35.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.35.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.35.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.36.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.36.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.36.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.36.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.37.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.37.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.37.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.37.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.38.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.38.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.38.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.38.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.39.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.39.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.39.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.39.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.40.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.40.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.40.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.40.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.41.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.41.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.41.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.41.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.42.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.42.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.42.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.42.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.43.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.43.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.43.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.43.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.44.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.44.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.44.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.44.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| } | |
| }, | |
| "quantization_config": { | |
| "group_size": 32, | |
| "bits": 2, | |
| "model.layers.0.mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.1.mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.2.mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.3.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.3.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.3.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.3.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.4.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.4.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.4.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.4.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.5.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.5.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.5.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.5.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.6.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.6.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.6.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.6.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.7.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.7.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.7.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.7.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.8.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.8.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.8.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.8.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.9.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.9.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.9.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.9.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.10.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.10.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.10.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.10.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.11.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.11.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.11.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.11.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.12.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.12.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.12.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.12.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.13.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.13.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.13.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.13.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.14.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.14.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.14.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.14.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.15.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.15.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.15.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.15.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.16.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.16.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.16.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.16.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.17.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.17.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.17.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.17.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.18.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.18.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.18.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.18.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.19.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.19.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.19.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.19.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.20.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.20.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.20.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.20.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.21.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.21.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.21.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.21.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.22.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.22.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.22.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.22.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.23.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.23.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.23.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.23.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.24.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.24.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.24.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.24.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.25.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.25.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.25.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.25.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.26.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.26.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.26.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.26.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.27.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.27.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.27.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.27.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.28.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.28.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.28.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.28.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.29.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.29.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.29.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.29.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.30.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.30.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.30.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.30.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.31.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.31.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.31.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.31.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.32.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.32.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.32.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.32.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.33.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.33.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.33.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.33.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.34.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.34.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.34.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.34.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.35.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.35.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.35.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.35.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.36.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.36.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.36.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.36.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.37.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.37.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.37.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.37.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.38.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.38.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.38.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.38.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.39.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.39.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.39.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.39.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.40.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.40.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.40.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.40.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.41.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.41.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.41.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.41.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.42.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.42.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.42.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.42.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.43.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.43.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.43.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.43.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.44.mlp.switch_mlp.down_proj": { | |
| "group_size": 32, | |
| "bits": 3 | |
| }, | |
| "model.layers.44.mlp.shared_experts.gate_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.44.mlp.shared_experts.up_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| }, | |
| "model.layers.44.mlp.shared_experts.down_proj": { | |
| "group_size": 64, | |
| "bits": 4 | |
| } | |
| } | |
| } |