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: 579 Bytes
53e24ca | 1 2 3 4 5 6 7 | Gemma E2B RLCD combines a Gemma 4 E2B checkpoint with a parallel decision-scoring runtime.
Gemma 4 E2B was created by Google DeepMind. Its Apache 2.0 license is retained in MODEL_LICENSE.
The 4-bit MLX conversion is from mlx-community/gemma-4-e2b-it-4bit at revision 238767527555cb75a05732a84dff5d6ba0dd6809. Checkpoint files are reproduced unchanged. Source revisions and hashes are recorded in checkpoint-provenance.json.
The runtime code is from Larkooo/gemma-e2b-rlcd and is licensed under MIT; see LICENSE. Additional third-party notices appear in THIRD_PARTY_NOTICES.md.
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