## Voice Pipeline (P3) - Replace openWakeWord daemon with Wyoming Satellite approach - Add Wyoming Satellite service on port 10700 for HA voice pipeline - Update setup.sh with cross-platform sed compatibility (macOS/Linux) - Add version field to Kokoro TTS voice info - Update launchd service loader to use Wyoming Satellite ## Home Assistant Integration (P4) - Add custom conversation agent component (openclaw_conversation) - Fix: Use IntentResponse instead of plain strings (HA API requirement) - Support both HTTP API and CLI fallback modes - Config flow for easy HA UI setup - Add OpenClaw bridge scripts (Python + Bash) - Add ha-ctl utility for HA entity control - Fix: Use context manager for token file reading - Add HA configuration examples and documentation ## Infrastructure - Add mem0 backup automation (launchd + script) - Add n8n workflow templates (morning briefing, notification router) - Add VS Code workspace configuration - Reorganize model files into categorized folders: - lmstudio-community/ - mlx-community/ - bartowski/ - mradermacher/ ## Documentation - Update PROJECT_PLAN.md with Wyoming Satellite architecture - Update TODO.md with completed Wyoming integration tasks - Add OPENCLAW_INTEGRATION.md for HA setup guide ## Testing - Verified Wyoming services running (STT:10300, TTS:10301, Satellite:10700) - Verified OpenClaw CLI accessibility - Confirmed cross-platform compatibility fixes
825 lines
22 KiB
JSON
825 lines
22 KiB
JSON
{
|
|
"architectures": [
|
|
"Qwen3NextForCausalLM"
|
|
],
|
|
"attention_bias": false,
|
|
"attention_dropout": 0,
|
|
"bos_token_id": 151643,
|
|
"decoder_sparse_step": 1,
|
|
"eos_token_id": [
|
|
151645,
|
|
151643
|
|
],
|
|
"full_attention_interval": 4,
|
|
"head_dim": 256,
|
|
"hidden_act": "silu",
|
|
"hidden_size": 2048,
|
|
"initializer_range": 0.02,
|
|
"intermediate_size": 5120,
|
|
"linear_conv_kernel_dim": 4,
|
|
"linear_key_head_dim": 128,
|
|
"linear_num_key_heads": 16,
|
|
"linear_num_value_heads": 32,
|
|
"linear_value_head_dim": 128,
|
|
"max_position_embeddings": 262144,
|
|
"mlp_only_layers": [],
|
|
"model_type": "qwen3_next",
|
|
"moe_intermediate_size": 512,
|
|
"norm_topk_prob": true,
|
|
"num_attention_heads": 16,
|
|
"num_experts": 512,
|
|
"num_experts_per_tok": 10,
|
|
"num_hidden_layers": 48,
|
|
"num_key_value_heads": 2,
|
|
"output_router_logits": false,
|
|
"partial_rotary_factor": 0.25,
|
|
"quantization": {
|
|
"group_size": 64,
|
|
"bits": 4,
|
|
"mode": "affine",
|
|
"model.layers.0.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.0.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.1.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.1.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.2.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.2.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.3.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.3.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.4.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.4.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.5.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.5.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.6.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.6.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.7.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.7.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.8.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.8.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.9.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.9.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.10.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.10.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.11.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.11.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.12.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.12.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.13.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.13.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.14.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.14.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.15.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.15.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.16.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.16.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.17.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.17.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.18.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.18.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.19.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.19.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.20.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.20.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.21.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.21.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.22.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.22.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.23.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.23.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.24.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.24.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.25.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.25.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.26.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.26.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.27.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.27.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.28.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.28.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.29.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.29.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.30.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.30.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.31.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.31.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.32.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.32.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.33.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.33.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.34.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.34.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.35.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.35.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.36.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.36.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.37.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.37.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.38.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.38.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.39.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.39.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.40.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.40.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.41.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.41.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.42.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.42.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.43.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.43.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.44.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.44.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.45.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.45.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.46.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.46.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.47.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.47.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
}
|
|
},
|
|
"quantization_config": {
|
|
"group_size": 64,
|
|
"bits": 4,
|
|
"mode": "affine",
|
|
"model.layers.0.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.0.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.1.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.1.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.2.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.2.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.3.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.3.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.4.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.4.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.5.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.5.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.6.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.6.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.7.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.7.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.8.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.8.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.9.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.9.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.10.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.10.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.11.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.11.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.12.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.12.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.13.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.13.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.14.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.14.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.15.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.15.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.16.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.16.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.17.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.17.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.18.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.18.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.19.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.19.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.20.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.20.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.21.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.21.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.22.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.22.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.23.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.23.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.24.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.24.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.25.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.25.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.26.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.26.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.27.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.27.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.28.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.28.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.29.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.29.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.30.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.30.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.31.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.31.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.32.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.32.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.33.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.33.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.34.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.34.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.35.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.35.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.36.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.36.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.37.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.37.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.38.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.38.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.39.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.39.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.40.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.40.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.41.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.41.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.42.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.42.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.43.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.43.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.44.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.44.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.45.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.45.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.46.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.46.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.47.mlp.gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
},
|
|
"model.layers.47.mlp.shared_expert_gate": {
|
|
"group_size": 64,
|
|
"bits": 8
|
|
}
|
|
},
|
|
"rms_norm_eps": 1e-06,
|
|
"rope_scaling": null,
|
|
"rope_theta": 5000000,
|
|
"router_aux_loss_coef": 0.001,
|
|
"shared_expert_intermediate_size": 512,
|
|
"tie_word_embeddings": false,
|
|
"torch_dtype": "bfloat16",
|
|
"transformers_version": "4.57.0.dev0",
|
|
"use_cache": true,
|
|
"use_sliding_window": false,
|
|
"vocab_size": 151936
|
|
} |