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: 608 Bytes
53e24ca | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | {
"compute_dtype": "float16",
"state_layers": 4,
"results": [
{
"state": "text",
"native_layer_max_abs_delta": 0.0,
"dense_vs_indexed_embedding_max_abs_delta": 0.0
},
{
"state": "image",
"native_layer_max_abs_delta": 0.0,
"dense_vs_indexed_embedding_max_abs_delta": 0.0
},
{
"state": "speech",
"native_layer_max_abs_delta": 0.0,
"dense_vs_indexed_embedding_max_abs_delta": 0.0
},
{
"state": "video_speech",
"native_layer_max_abs_delta": 0.0,
"dense_vs_indexed_embedding_max_abs_delta": 0.0
}
]
}
|