Text Generation
MLX
Safetensors
English
Korean
Chinese
laguna
mlx-lm
alis-dwq
laguna-s-2.1
conversational
custom_code
4-bit precision
Instructions to use avlp12/Laguna-S-2.1-Alis-MLX-Dynamic-3.31bpw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use avlp12/Laguna-S-2.1-Alis-MLX-Dynamic-3.31bpw with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("avlp12/Laguna-S-2.1-Alis-MLX-Dynamic-3.31bpw") prompt = "Write a story about Einstein" messages = [{"role": "user", "content": prompt}] prompt = tokenizer.apply_chat_template( messages, add_generation_prompt=True ) text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Pi
How to use avlp12/Laguna-S-2.1-Alis-MLX-Dynamic-3.31bpw with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "avlp12/Laguna-S-2.1-Alis-MLX-Dynamic-3.31bpw"
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "mlx-lm": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "avlp12/Laguna-S-2.1-Alis-MLX-Dynamic-3.31bpw" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use avlp12/Laguna-S-2.1-Alis-MLX-Dynamic-3.31bpw 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 "avlp12/Laguna-S-2.1-Alis-MLX-Dynamic-3.31bpw"
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 avlp12/Laguna-S-2.1-Alis-MLX-Dynamic-3.31bpw
Run Hermes
hermes
- OpenClaw new
How to use avlp12/Laguna-S-2.1-Alis-MLX-Dynamic-3.31bpw with OpenClaw:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "avlp12/Laguna-S-2.1-Alis-MLX-Dynamic-3.31bpw"
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 "avlp12/Laguna-S-2.1-Alis-MLX-Dynamic-3.31bpw" \ --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"
- MLX LM
How to use avlp12/Laguna-S-2.1-Alis-MLX-Dynamic-3.31bpw with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "avlp12/Laguna-S-2.1-Alis-MLX-Dynamic-3.31bpw"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "avlp12/Laguna-S-2.1-Alis-MLX-Dynamic-3.31bpw" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "avlp12/Laguna-S-2.1-Alis-MLX-Dynamic-3.31bpw", "messages": [ {"role": "user", "content": "Hello"} ] }'
| { | |
| "bits": 4, | |
| "group_size": 64, | |
| "lm_head": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "mode": "affine", | |
| "model.embed_tokens": { | |
| "bits": 6, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.0.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.0.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.0.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.0.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.0.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.0.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.0.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.0.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.1.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.1.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.1.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.1.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.1.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.1.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.1.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.1.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.1.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.1.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.1.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.10.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.10.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.10.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.10.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.10.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.10.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.10.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.10.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.10.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.10.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.10.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.11.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.11.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.11.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.11.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.11.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.11.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.11.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.11.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.11.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.11.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.11.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.12.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.12.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.12.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.12.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.12.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.12.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.12.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.12.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.12.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.12.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.12.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.13.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.13.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.13.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.13.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.13.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.13.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.13.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.13.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.13.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.13.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.13.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.14.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.14.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.14.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.14.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.14.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.14.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.14.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.14.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.14.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.14.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.14.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.15.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.15.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.15.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.15.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.15.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.15.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.15.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.15.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.15.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.15.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.15.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.16.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.16.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.16.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.16.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.16.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.16.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.16.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.16.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.16.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.16.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.16.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.17.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.17.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.17.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.17.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.17.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.17.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.17.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.17.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.17.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.17.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.17.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.18.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.18.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.18.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.18.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.18.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.18.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.18.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.18.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.18.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.18.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.18.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.19.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.19.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.19.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.19.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.19.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.19.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.19.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.19.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.19.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.19.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.19.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.2.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.2.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.2.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.2.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.2.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.2.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.2.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.2.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.2.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.2.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.2.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.20.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.20.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.20.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.20.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.20.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.20.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.20.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.20.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.20.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.20.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.20.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.21.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.21.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.21.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.21.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.21.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.21.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.21.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.21.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.21.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.21.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.21.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.22.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.22.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.22.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.22.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.22.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.22.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.22.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.22.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.22.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.22.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.22.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.23.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.23.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.23.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.23.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.23.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.23.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.23.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.23.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.23.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.23.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.23.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.24.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.24.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.24.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.24.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.24.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.24.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.24.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.24.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.24.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.24.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.24.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.25.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.25.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.25.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.25.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.25.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.25.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.25.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.25.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.25.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.25.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.25.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.26.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.26.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.26.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.26.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.26.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.26.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.26.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.26.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.26.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.26.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.26.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.27.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.27.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.27.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.27.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.27.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.27.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.27.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.27.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.27.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.27.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.27.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.28.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.28.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.28.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.28.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.28.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.28.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.28.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.28.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.28.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.28.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.28.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.29.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.29.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.29.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.29.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.29.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.29.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.29.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.29.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.29.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.29.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.29.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.3.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.3.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.3.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.3.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.3.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.3.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.3.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.3.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.3.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.3.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.3.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.30.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.30.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.30.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.30.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.30.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.30.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.30.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.30.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.30.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.30.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.30.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.31.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.31.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.31.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.31.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.31.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.31.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.31.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.31.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.31.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.31.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.31.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.32.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.32.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.32.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.32.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.32.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.32.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.32.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.32.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.32.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.32.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.32.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.33.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.33.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.33.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.33.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.33.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.33.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.33.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.33.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.33.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.33.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.33.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.34.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.34.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.34.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.34.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.34.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.34.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.34.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.34.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.34.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.34.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.34.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.35.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.35.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.35.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.35.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.35.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.35.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.35.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.35.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.35.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.35.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.35.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.36.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.36.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.36.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.36.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.36.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.36.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.36.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.36.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.36.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.36.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.36.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.37.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.37.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.37.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.37.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.37.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.37.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.37.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.37.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.37.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.37.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.37.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.38.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.38.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.38.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.38.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.38.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.38.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.38.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.38.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.38.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.38.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.38.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.39.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.39.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.39.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.39.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.39.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.39.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.39.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.39.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.39.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.39.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.39.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.4.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.4.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.4.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.4.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.4.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.4.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.4.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.4.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.4.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.4.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.4.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.40.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.40.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.40.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.40.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.40.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.40.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.40.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.40.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.40.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.40.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.40.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.41.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.41.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.41.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.41.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.41.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.41.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.41.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.41.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.41.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.41.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.41.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.42.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.42.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.42.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.42.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.42.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.42.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.42.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.42.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.42.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.42.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.42.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.43.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.43.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.43.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.43.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.43.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.43.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.43.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.43.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.43.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.43.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.43.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.44.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.44.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.44.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.44.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.44.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.44.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.44.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.44.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.44.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.44.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.44.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.45.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.45.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.45.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.45.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.45.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.45.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.45.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.45.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.45.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.45.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.45.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.46.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.46.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.46.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.46.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.46.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.46.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.46.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.46.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.46.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.46.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.46.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.47.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.47.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.47.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.47.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.47.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.47.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.47.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.47.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.47.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.47.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.47.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.5.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.5.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.5.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.5.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.5.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.5.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.5.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.5.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.5.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.5.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.5.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.6.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.6.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.6.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.6.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.6.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.6.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.6.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.6.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.6.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.6.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.6.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.7.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.7.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.7.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.7.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.7.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.7.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.7.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.7.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.7.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.7.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.7.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.8.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.8.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.8.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.8.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.8.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.8.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.8.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.8.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.8.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.8.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.8.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.9.mlp.share_expert.down_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.9.mlp.share_expert.gate_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.9.mlp.share_expert.up_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.9.mlp.switch_mlp.down_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.9.mlp.switch_mlp.gate_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.9.mlp.switch_mlp.up_proj": { | |
| "bits": 3, | |
| "group_size": 128, | |
| "mode": "affine" | |
| }, | |
| "model.layers.9.self_attn.g_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.9.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.9.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.9.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "model.layers.9.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| } | |
| } | |