Instructions to use mlx-community/gemma-4-e4b-it-4bit-MAD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/gemma-4-e4b-it-4bit-MAD 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("mlx-community/gemma-4-e4b-it-4bit-MAD") 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 mlx-community/gemma-4-e4b-it-4bit-MAD with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "mlx-community/gemma-4-e4b-it-4bit-MAD"
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": "mlx-community/gemma-4-e4b-it-4bit-MAD" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use mlx-community/gemma-4-e4b-it-4bit-MAD 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 "mlx-community/gemma-4-e4b-it-4bit-MAD"
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 mlx-community/gemma-4-e4b-it-4bit-MAD
Run Hermes
hermes
- MLX LM
How to use mlx-community/gemma-4-e4b-it-4bit-MAD with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "mlx-community/gemma-4-e4b-it-4bit-MAD"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "mlx-community/gemma-4-e4b-it-4bit-MAD" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "mlx-community/gemma-4-e4b-it-4bit-MAD", "messages": [ {"role": "user", "content": "Hello"} ] }'
| { | |
| "architectures": [ | |
| "Gemma4ForConditionalGeneration" | |
| ], | |
| "audio_config": { | |
| "_name_or_path": "", | |
| "architectures": null, | |
| "attention_chunk_size": 12, | |
| "attention_context_left": 13, | |
| "attention_context_right": 0, | |
| "attention_invalid_logits_value": -1000000000.0, | |
| "attention_logit_cap": 50.0, | |
| "chunk_size_feed_forward": 0, | |
| "conv_kernel_size": 5, | |
| "dtype": "bfloat16", | |
| "gradient_clipping": 10000000000.0, | |
| "hidden_act": "silu", | |
| "hidden_size": 1024, | |
| "id2label": { | |
| "0": "LABEL_0", | |
| "1": "LABEL_1" | |
| }, | |
| "initializer_range": 0.02, | |
| "is_encoder_decoder": false, | |
| "label2id": { | |
| "LABEL_0": 0, | |
| "LABEL_1": 1 | |
| }, | |
| "model_type": "gemma4_audio", | |
| "num_attention_heads": 8, | |
| "num_hidden_layers": 12, | |
| "output_attentions": false, | |
| "output_hidden_states": false, | |
| "output_proj_dims": 1536, | |
| "problem_type": null, | |
| "residual_weight": 0.5, | |
| "return_dict": true, | |
| "rms_norm_eps": 1e-06, | |
| "subsampling_conv_channels": [ | |
| 128, | |
| 32 | |
| ], | |
| "use_clipped_linears": true | |
| }, | |
| "audio_token_id": 258881, | |
| "boa_token_id": 256000, | |
| "boi_token_id": 255999, | |
| "dtype": "bfloat16", | |
| "eoa_token_id": 258883, | |
| "eoa_token_index": 258883, | |
| "eoi_token_id": 258882, | |
| "eos_token_id": [ | |
| 1, | |
| 106, | |
| 50 | |
| ], | |
| "image_token_id": 258880, | |
| "initializer_range": 0.02, | |
| "model_file": "gemma4_mlx.py", | |
| "model_type": "gemma4", | |
| "quantization": { | |
| "group_size": 64, | |
| "bits": 6, | |
| "mode": "affine", | |
| "language_model.model.embed_tokens": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.0.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.0.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.0.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.0.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.0.per_layer_projection": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.1.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.1.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.1.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.1.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.1.per_layer_projection": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.2.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.2.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.2.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.2.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.2.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.3.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.3.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.3.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.3.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.3.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.3.per_layer_projection": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.4.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.4.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.4.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.4.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.4.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.5.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.5.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.5.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.5.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.5.per_layer_projection": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.6.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.6.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.6.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.6.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.6.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.6.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.6.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.6.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.7.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.7.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.7.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.7.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.7.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.7.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.7.per_layer_projection": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.8.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.8.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.8.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.8.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.8.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.8.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.8.per_layer_projection": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.9.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.9.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.9.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.9.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.9.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.10.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.10.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.10.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.10.per_layer_projection": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.11.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.11.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.11.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.11.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.11.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.11.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.11.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.12.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.12.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.12.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.12.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.12.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.12.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.13.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.13.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.13.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.13.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.13.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.13.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.13.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.13.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.14.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.14.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.14.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.14.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.14.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.14.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.14.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.14.per_layer_projection": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.15.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.15.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.15.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.15.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.15.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.15.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.16.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.16.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.16.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.16.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.16.per_layer_projection": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.17.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.17.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.18.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.18.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.18.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.18.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.19.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.19.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.19.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.19.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.20.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.20.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.21.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.21.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.21.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.21.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.22.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.22.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.22.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.23.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.23.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.23.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.23.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.23.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.24.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.24.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.24.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.24.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.24.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.24.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.25.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.25.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.25.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.25.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.25.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.26.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.26.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.26.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.26.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.26.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.26.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.27.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.27.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.27.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.27.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.27.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.28.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.28.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.28.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.28.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.29.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.29.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.29.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.29.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.30.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.30.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.30.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.30.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.30.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.30.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.30.per_layer_projection": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.31.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.31.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.31.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.31.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.32.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.32.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.32.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.32.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.32.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.32.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.32.per_layer_projection": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.33.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.33.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.33.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.33.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.33.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.33.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.34.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.34.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.34.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.34.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.34.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.35.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.35.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.35.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.36.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.36.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.36.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.36.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.36.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.37.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.37.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.37.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.37.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.37.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.38.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.38.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.38.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.38.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.39.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.39.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.39.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.39.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.39.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.40.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.40.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.40.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.41.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.41.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.41.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.embed_tokens_per_layer": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.per_layer_model_projection": { | |
| "bits": 4, | |
| "group_size": 128 | |
| } | |
| }, | |
| "quantization_config": { | |
| "group_size": 64, | |
| "bits": 6, | |
| "mode": "affine", | |
| "language_model.model.embed_tokens": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.0.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.0.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.0.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.0.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.0.per_layer_projection": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.1.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.1.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.1.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.1.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.1.per_layer_projection": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.2.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.2.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.2.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.2.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.2.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.3.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.3.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.3.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.3.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.3.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.3.per_layer_projection": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.4.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.4.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.4.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.4.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.4.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.5.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.5.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.5.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.5.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.5.per_layer_projection": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.6.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.6.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.6.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.6.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.6.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.6.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.6.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.6.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.7.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.7.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.7.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.7.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.7.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.7.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.7.per_layer_projection": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.8.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.8.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.8.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.8.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.8.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.8.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.8.per_layer_projection": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.9.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.9.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.9.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.9.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.9.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.10.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.10.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.10.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.10.per_layer_projection": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.11.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.11.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.11.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.11.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.11.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.11.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.11.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.12.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.12.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.12.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.12.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.12.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.12.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.13.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.13.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.13.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.13.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.13.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.13.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.13.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.13.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.14.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.14.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.14.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.14.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.14.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.14.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.14.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.14.per_layer_projection": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.15.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.15.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.15.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.15.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.15.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.15.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.16.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.16.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.16.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.16.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.16.per_layer_projection": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.17.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.17.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.18.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.18.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.18.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.18.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.19.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.19.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.19.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.19.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.20.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.20.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.21.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.21.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.21.self_attn.v_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.21.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.22.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.22.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.22.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.23.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.23.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.23.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.23.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.23.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.24.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.24.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.24.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.24.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.24.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.24.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.25.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.25.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.25.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.25.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.25.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.26.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.26.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.26.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.26.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.26.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.26.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.27.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.27.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.27.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.27.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.27.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.28.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.28.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.28.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.28.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.29.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.29.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.29.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.29.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.30.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.30.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.30.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.30.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.30.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.30.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.30.per_layer_projection": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.31.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.31.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.31.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.31.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.32.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.32.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.32.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.32.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.32.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.32.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.32.per_layer_projection": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.33.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.33.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.33.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.33.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.33.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.33.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.34.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.34.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.34.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.34.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.34.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.35.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.35.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.35.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.36.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.36.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.36.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.36.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.36.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.37.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.37.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.37.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.37.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.37.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.38.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.38.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.38.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.38.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.39.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.39.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.39.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.39.mlp.down_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.39.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.40.self_attn.o_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.40.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.40.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.41.mlp.gate_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.41.mlp.up_proj": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.layers.41.per_layer_input_gate": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.embed_tokens_per_layer": { | |
| "bits": 4, | |
| "group_size": 128 | |
| }, | |
| "language_model.model.per_layer_model_projection": { | |
| "bits": 4, | |
| "group_size": 128 | |
| } | |
| }, | |
| "text_config": { | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "attention_k_eq_v": false, | |
| "bos_token_id": 2, | |
| "dtype": "bfloat16", | |
| "enable_moe_block": false, | |
| "eos_token_id": 1, | |
| "expert_intermediate_size": null, | |
| "final_logit_softcapping": 30.0, | |
| "global_head_dim": 512, | |
| "head_dim": 256, | |
| "hidden_activation": "gelu_pytorch_tanh", | |
| "hidden_size": 2560, | |
| "hidden_size_per_layer_input": 256, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 10240, | |
| "layer_types": [ | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention" | |
| ], | |
| "max_position_embeddings": 131072, | |
| "model_type": "gemma4_text", | |
| "num_attention_heads": 8, | |
| "num_experts": null, | |
| "num_global_key_value_heads": null, | |
| "num_hidden_layers": 42, | |
| "num_key_value_heads": 2, | |
| "num_kv_shared_layers": 18, | |
| "pad_token_id": 0, | |
| "rms_norm_eps": 1e-06, | |
| "rope_parameters": { | |
| "full_attention": { | |
| "partial_rotary_factor": 0.25, | |
| "rope_theta": 1000000.0, | |
| "rope_type": "proportional" | |
| }, | |
| "sliding_attention": { | |
| "rope_theta": 10000.0, | |
| "rope_type": "default" | |
| } | |
| }, | |
| "sliding_window": 512, | |
| "tie_word_embeddings": true, | |
| "top_k_experts": null, | |
| "use_bidirectional_attention": null, | |
| "use_cache": true, | |
| "use_double_wide_mlp": false, | |
| "vocab_size": 262144, | |
| "vocab_size_per_layer_input": 262144 | |
| }, | |
| "tie_word_embeddings": true, | |
| "transformers_version": "5.5.0.dev0", | |
| "video_token_id": 258884, | |
| "vision_soft_tokens_per_image": 280 | |
| } | |