Instructions to use NorviTech/arrmes-functiongemma-270m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use NorviTech/arrmes-functiongemma-270m with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download NorviTech/arrmes-functiongemma-270m --local-dir arrmes-functiongemma-270m
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
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Download README.md from NorviTech/arrmes-functiongemma-270m: direct link, hf CLI and curl.
- Browser
- Download file 1.25 kB
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https://huggingface.co/NorviTech/arrmes-functiongemma-270m/resolve/main/README.md
- Command line
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hf download hf://NorviTech/arrmes-functiongemma-270m/README.md
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curl -L -o README.md https://huggingface.co/NorviTech/arrmes-functiongemma-270m/resolve/main/README.md
1.25 kB
| license: gemma | |
| base_model: google/functiongemma-270m-it | |
| tags: | |
| - mlx | |
| - lora | |
| - functiongemma | |
| - tool-calling | |
| - arrmes | |
| # Arrmes FunctionGemma-270M v9 Residual FP16 QLoRA Adapter (`v1.6.0`) | |
| Unassisted residual FP16 LoRA adapter over the 4-bit `FunctionGemma-270M` base (`183.1 MiB` total footprint), subject to the [Gemma Terms of Use](https://ai.google.dev/gemma/terms) (`GEMMA_TERMS_NOTICE.txt`). | |
|  | |
| ## Artifact & Unassisted Benchmark Summary (`LocalModel`, `backend="mlx-lm"`) | |
| - **`v9/adapters.safetensors` SHA-256**: `a0337f083c362d66f406129d0ee6f4661597055bd51772233241c0e2690cf124` | |
| - **Template-Disjoint `acceptance-v7` `v2` Positives (`N=150`)**: Track A Raw `126/150` (`84.0%`), Track B Verified `135/150` (`90.0%`, Wilson 95% LB `84.16%`) | |
| - **Template-Disjoint `acceptance-v7` Hard Negatives (`N=150`)**: Track A Raw `49/150` (`32.67%`), Track B Verified `133/150` (`88.67%`, Wilson 95% LB `82.60%`) | |
| - **Frozen `overnight-v1` (`N=80`)**: Track A Raw `59/80` (`73.75%`), Track B Verified `69/80` (`86.25%`) | |
| - **Apple M4 Pro Metal Warm Latency**: `p50 = 110.08 ms`, `p95 = 124.80 ms` (`183.1 MiB` combined 4-bit base + FP16 LoRA footprint). | |