MLX
mlx-lm
flowcast
loudink
loudink-v1.1
voice-agent
apple-silicon
compact-ir
dictation
computer-use
skills
record-and-replay
Instructions to use nsalerni/loudink-v1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use nsalerni/loudink-v1.1 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir loudink-v1.1 nsalerni/loudink-v1.1
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
| { | |
| "product": "loudink-v1.1", | |
| "version": "1.1.0", | |
| "pipeline_namespace": "loudink_v1_1", | |
| "runner_kind": "loudink_v1", | |
| "gate_mode": "warn", | |
| "hf_repo": "nsalerni/loudink-v1.1", | |
| "predecessor": "nsalerni/loudink-v1", | |
| "writer_model_config": "configs/model_v5_lfm25_1_2b.yaml", | |
| "writer_base_model": "mlx-community/LFM2.5-1.2B-Instruct-4bit", | |
| "writer_adapter_path": "writer", | |
| "writer_checkpoint": "promoted_core_100.safetensors", | |
| "writer_unified_adapter_path": "writer_unified", | |
| "writer_use_prompt_kv_cache": true, | |
| "writer_chat_template_family": "lfm25", | |
| "ir_model_config": "configs/model_v4_functiongemma.yaml", | |
| "ir_base_model": "mlx-community/functiongemma-270m-it-4bit", | |
| "ir_adapter_path": "ir", | |
| "ir_adapter_fallback": "ir_honesty_fallback", | |
| "ir_checkpoint": "adapters.safetensors", | |
| "ir_prompt_mode": "verbose", | |
| "ir_use_prompt_kv_cache": true, | |
| "ir_max_tokens": 96, | |
| "ir_chat_template_family": "functiongemma", | |
| "learned_router_path": "router.json", | |
| "use_learned_router": true, | |
| "transcript_first_ir": true, | |
| "intent_fast_path": true, | |
| "disable_fast_paths": false, | |
| "skill_store_path": "skill_store", | |
| "skill_features": { | |
| "record_and_replay": true, | |
| "paraphrase_invoke": true, | |
| "slot_fill": true, | |
| "vision_fallback_scaffold": true, | |
| "vision_fallback_default_enabled": false | |
| }, | |
| "polish_mode": "structural", | |
| "structural_polish_on_markers": true, | |
| "prompt_mode": "verbose", | |
| "json_early_stop": true, | |
| "hot_download_mb_primary": 850, | |
| "hot_download_mb_hard": 900, | |
| "architecture": "C_dual_writer_ir_skills", | |
| "suite_versions": { | |
| "daily_mac": "daily_mac_v1_1_n69", | |
| "skill_invoke": "skill_invoke_v1_n19", | |
| "user_demand_ir": "n112_v1" | |
| }, | |
| "metrics_v11": { | |
| "daily_mac_overall_shipped": 1.0, | |
| "daily_mac_writing_shipped": 1.0, | |
| "daily_mac_writing_neural": 0.92, | |
| "daily_mac_writing_p50_ms": 171, | |
| "daily_mac_computer_shipped": 1.0, | |
| "daily_mac_multi_step_shipped": 1.0, | |
| "daily_mac_n": 69, | |
| "skill_invoke_shipped": 1.0, | |
| "skill_invoke_n": 19, | |
| "ir_honesty_neural_n112": 0.4643 | |
| }, | |
| "notes": "1.1.0 canary: PR-A skill store/recorder/compiler; PR-B paraphrase invoke + IR labels; PR-C slot fill; PR-D expanded daily-mac (Focus/DND, Reminders, reply, tabs, Notion/Linear, writing reply/code); PR-E vision fallback scaffold (disabled by default). Holds v0.4 bars and exceeds writing neural on expanded suite." | |
| } | |