Any-to-Any
MLX
Safetensors
gemma4
mlx-vlm
rlcd
multimodal
classification
parallel-inference
image-text-to-text
audio
video
4-bit precision
Instructions to use larkooo/gemma-e2b-rlcd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use larkooo/gemma-e2b-rlcd with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download larkooo/gemma-e2b-rlcd --local-dir gemma-e2b-rlcd
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 785 Bytes
53e24ca | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"version": "0.5.0",
"automated_tests": {
"passed": 74,
"failed": 0
},
"ruff": "passed",
"javascript_syntax": "passed",
"browser_ui": "Comparison button, generated JSON validation, both answer columns, elapsed times, and disagreement/error rendering verified. No browser console errors.",
"inference_smoke_test": "Text animal example returns matching Choice and independent-label answers through both real paths after prompt-format correction.",
"image_benchmark": "No image comparison benchmark was run for this release.",
"accuracy_improvement_established": false,
"comparison": "One invocation of each path per click; no benchmark repetitions or warm-up runs. Same resident model and media settings. First-use effects may influence single-run times."
}
|