Instructions to use nsalerni/loudink-v1.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use nsalerni/loudink-v1.5 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir loudink-v1.5 nsalerni/loudink-v1.5
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
loudink-v1.5 1.5.0: slim unified-only package (no promoted_core); honest size 835MiB
Browse files- SHA256SUMS +3 -4
- inference_config.json +8 -4
- manifest.json +8 -6
- product_scorecard.json +11 -11
- publish_report.json +1 -2
SHA256SUMS
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@@ -1,11 +1,10 @@
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378163ba134c2541896a6d48f20c113c3afccd880e2d23561fd90a8077a25f33 README.md
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0082c570be6b321b429c5199ba5b6eee62dedfbb6b3643ea73270c339d0a924d STATUS.md
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-
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b2891ae9aed117f03ec6e89f65ebf03cb01b7cb9a4fa2c25b913562b92068064 ir/adapter_config.json
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2031feda1c27d8c64edeab78222a2e1920d7339152cdb87cc424af5dfdaa5724 ir/adapters.safetensors
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8856981bbea72862e2d44a6d5f4de9e540e1793ed1674fcc0dd7ace2364be5f0 router.json
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ceb709ccf7a40ea608c5cc74c247071bbcb0980017f1811f7c55604b4241ab7c writer/promoted_core_100.safetensors
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4a1802e622de9412ca8f675639ecc6f7cc0f91ba3ed7c09662f1d8b7b6ec8c9a writer_unified/adapter_config.json
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fce889b02639a5ad3b99b8184a714a84e84cb469a68084b142f242aa7ce6a8a9 writer_unified/adapters.safetensors
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| 1 |
378163ba134c2541896a6d48f20c113c3afccd880e2d23561fd90a8077a25f33 README.md
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0082c570be6b321b429c5199ba5b6eee62dedfbb6b3643ea73270c339d0a924d STATUS.md
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+
15c3110889e040444efdf34cebff58d5fea0a345dbfc29be7b8a79e10184d3e8 inference_config.json
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b2891ae9aed117f03ec6e89f65ebf03cb01b7cb9a4fa2c25b913562b92068064 ir/adapter_config.json
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2031feda1c27d8c64edeab78222a2e1920d7339152cdb87cc424af5dfdaa5724 ir/adapters.safetensors
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+
43937276b7ff452db10c0e648ce44baeb9d277f73cbdbbf49b0d8f5ccbfa2d9c manifest.json
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+
df2e5855fe92fbcb573393687dcd3c39cfaf36a3a8eb94f146f5481d42a89a06 product_scorecard.json
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8856981bbea72862e2d44a6d5f4de9e540e1793ed1674fcc0dd7ace2364be5f0 router.json
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4a1802e622de9412ca8f675639ecc6f7cc0f91ba3ed7c09662f1d8b7b6ec8c9a writer_unified/adapter_config.json
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fce889b02639a5ad3b99b8184a714a84e84cb469a68084b142f242aa7ce6a8a9 writer_unified/adapters.safetensors
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inference_config.json
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@@ -8,6 +8,8 @@
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"predecessor": "nsalerni/loudink-v1.1",
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"writer_base_model": "mlx-community/LFM2.5-1.2B-Instruct-4bit",
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"ir_base_model": "mlx-community/functiongemma-270m-it-4bit",
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"writer_unified_adapter_path": "writer_unified",
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"ir_adapter_path": "ir",
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"learned_router_path": "router.json",
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@@ -21,15 +23,17 @@
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"daily_mac_overall_shipped": 1.0,
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"daily_mac_writing_shipped": 1.0,
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"daily_mac_writing_neural": 1.0,
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"daily_mac_writing_p50_ms": 149.
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"daily_mac_writing_model_p50_ms":
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"daily_mac_computer_shipped": 1.0,
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"daily_mac_multi_step_shipped": 1.0,
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"daily_mac_n": 69,
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"skill_invoke_shipped": 1.0,
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"skill_invoke_n": 19,
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"ir_honesty_neural_n112": 0.4732,
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"hot_package_mib": 834.6
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},
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"line": "loudink-v1.5"
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}
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"predecessor": "nsalerni/loudink-v1.1",
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"writer_base_model": "mlx-community/LFM2.5-1.2B-Instruct-4bit",
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"ir_base_model": "mlx-community/functiongemma-270m-it-4bit",
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"writer_adapter_path": "writer_unified",
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"writer_checkpoint": null,
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"writer_unified_adapter_path": "writer_unified",
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"ir_adapter_path": "ir",
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"learned_router_path": "router.json",
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"daily_mac_overall_shipped": 1.0,
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"daily_mac_writing_shipped": 1.0,
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"daily_mac_writing_neural": 1.0,
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"daily_mac_writing_p50_ms": 149.9,
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"daily_mac_writing_model_p50_ms": 173.8,
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"daily_mac_computer_shipped": 1.0,
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"daily_mac_multi_step_shipped": 1.0,
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"daily_mac_n": 69,
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"skill_invoke_shipped": 1.0,
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"skill_invoke_n": 19,
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"ir_honesty_neural_n112": 0.4732,
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"hot_package_mib": 834.6,
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"v11_hot_package_mib_same_accounting": 878.62
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},
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"line": "loudink-v1.5",
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"hot_package_note": "bases + writer_unified + ir only (no promoted_core seed)"
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}
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manifest.json
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"predecessor": "nsalerni/loudink-v1.1",
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"writer_model_config": "configs/model_v5_lfm25_1_2b.yaml",
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"writer_base_model": "mlx-community/LFM2.5-1.2B-Instruct-4bit",
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"writer_adapter_path": "
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"writer_checkpoint":
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"writer_unified_adapter_path": "writer_unified",
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"writer_use_prompt_kv_cache": true,
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"writer_chat_template_family": "lfm25",
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"daily_mac_overall_shipped": 1.0,
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"daily_mac_writing_shipped": 1.0,
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"daily_mac_writing_neural": 1.0,
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"daily_mac_writing_p50_ms": 149.
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"daily_mac_writing_model_p50_ms":
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"daily_mac_computer_shipped": 1.0,
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"daily_mac_multi_step_shipped": 1.0,
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"daily_mac_n": 69,
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"skill_invoke_shipped": 1.0,
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"skill_invoke_n": 19,
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"ir_honesty_neural_n112": 0.4732,
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"hot_package_mib": 834.6
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},
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"notes": "1.5.0: Beats v1.1 on writing p50
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}
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"predecessor": "nsalerni/loudink-v1.1",
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"writer_model_config": "configs/model_v5_lfm25_1_2b.yaml",
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"writer_base_model": "mlx-community/LFM2.5-1.2B-Instruct-4bit",
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"writer_adapter_path": "writer_unified",
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"writer_checkpoint": null,
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"writer_unified_adapter_path": "writer_unified",
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"writer_use_prompt_kv_cache": true,
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"writer_chat_template_family": "lfm25",
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"daily_mac_overall_shipped": 1.0,
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"daily_mac_writing_shipped": 1.0,
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"daily_mac_writing_neural": 1.0,
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"daily_mac_writing_p50_ms": 149.9,
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"daily_mac_writing_model_p50_ms": 173.8,
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"daily_mac_computer_shipped": 1.0,
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"daily_mac_multi_step_shipped": 1.0,
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"daily_mac_n": 69,
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"skill_invoke_shipped": 1.0,
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"skill_invoke_n": 19,
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"ir_honesty_neural_n112": 0.4732,
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"hot_package_mib": 834.6,
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"v11_hot_package_mib_same_accounting": 878.62
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},
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"notes": "1.5.0: Beats v1.1 on writing p50, model p50, IR honesty neural; holds 100% daily-mac/skill. Hot package omits promoted_core seed (unified-only writer). Strictly smaller than v1.1 HF bundle under same accounting.",
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"hot_package_accounting": "writer_base+ir_base+writer_unified_adapters+ir_adapters (no promoted_core seed)"
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}
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product_scorecard.json
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"polish_lift": 0.0,
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"latency": {
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"n": 25,
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"mean": 147.
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"p50": 149.
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"p95":
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"max":
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"model_invoked_p50":
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"model_invoked_p95":
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"model_invoked_n": 20,
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"fast_path_rate": 0.19999999999999996
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}
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},
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"latency": {
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"n": 69,
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"mean": 53.
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"p50": 0.05,
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"p95":
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"max":
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"model_invoked_p50":
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"model_invoked_p95":
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"model_invoked_n": 20,
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"fast_path_rate": 0.7101449275362319
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}
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"polish_lift": 0.0,
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"latency": {
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"n": 25,
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"mean": 147.74175995796918,
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"p50": 149.9218330718577,
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"p95": 280.6902078446001,
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"max": 308.112750062719,
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"model_invoked_p50": 174.93549990467727,
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"model_invoked_p95": 280.6902078446001,
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"model_invoked_n": 20,
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"fast_path_rate": 0.19999999999999996
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}
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},
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"latency": {
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"n": 69,
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"mean": 53.561507231148255,
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"p50": 0.05,
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"p95": 239.0868340153247,
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"max": 308.112750062719,
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"model_invoked_p50": 174.93549990467727,
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"model_invoked_p95": 280.6902078446001,
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"model_invoked_n": 20,
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"fast_path_rate": 0.7101449275362319
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}
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publish_report.json
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{
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"hf_repo": "nsalerni/loudink-v1.5",
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"version": "1.5.0",
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"measured_adapter_bundle_mib":
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"files": [
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"README.md",
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"SHA256SUMS",
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"manifest.json",
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"product_scorecard.json",
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"router.json",
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"writer/promoted_core_100.safetensors",
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"writer_unified/adapter_config.json",
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"writer_unified/adapters.safetensors"
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]
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{
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"hf_repo": "nsalerni/loudink-v1.5",
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"version": "1.5.0",
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"measured_adapter_bundle_mib": 26.12,
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"files": [
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"README.md",
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"SHA256SUMS",
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"manifest.json",
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"product_scorecard.json",
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"router.json",
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"writer_unified/adapter_config.json",
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"writer_unified/adapters.safetensors"
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]
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