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/validation.json from larkooo/gemma-e2b-rlcd: direct link, hf CLI and curl.
- Browser
- Download file 872 Bytes
-
https://huggingface.co/larkooo/gemma-e2b-rlcd/resolve/main/reports/validation.json
- Command line
-
hf download hf://larkooo/gemma-e2b-rlcd/reports/validation.json
-
curl -L -o validation.json https://huggingface.co/larkooo/gemma-e2b-rlcd/resolve/main/reports/validation.json
872 Bytes
| { | |
| "validated_at_utc": "2026-09-18T18:00:36.256671+00:00", | |
| "version": "0.4.0", | |
| "hardware": { | |
| "chip": "Apple M5", | |
| "unified_memory_bytes": 34359738368 | |
| }, | |
| "automated_tests": { | |
| "passed": 50, | |
| "failed": 0, | |
| "seconds": 1.25, | |
| "command": "python -m pytest tests -q -o cache_dir=work/pytest-cache" | |
| }, | |
| "ruff_format": "27 source, test, and script files unchanged", | |
| "ruff_check": "passed", | |
| "installed_source_files_verified": 11, | |
| "cached_cli": "passed text Choice and Independent presence checks using default answer gathering", | |
| "head_cli": "full-depth checkpoint loads and returns valid typed distributions; its animal prediction is wrong and this is not quality acceptance", | |
| "paired_execution_winners_preserved": 48, | |
| "full_depth_encoder_exact_matches": 4, | |
| "calibration_validated": false, | |
| "accuracy_improvement_established": false | |
| } | |