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] huggingface-cli download --local-dir gemma-e2b-rlcd larkooo/gemma-e2b-rlcd
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download reports/web-validation.json from larkooo/gemma-e2b-rlcd: direct link, hf CLI and curl.
- Browser
- Download file 785 Bytes
-
https://huggingface.co/larkooo/gemma-e2b-rlcd/resolve/main/reports/web-validation.json
- Command line
-
hf download hf://larkooo/gemma-e2b-rlcd/reports/web-validation.json
-
curl -L -o web-validation.json https://huggingface.co/larkooo/gemma-e2b-rlcd/resolve/main/reports/web-validation.json
785 Bytes
| { | |
| "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." | |
| } | |