Any-to-Any
MLX
Safetensors
Transformers
GGUF
English
gemma4
image-text-to-text
4-bit precision
8-bit precision
Instructions to use LetheanNetwork/lemma-bk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use LetheanNetwork/lemma-bk with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download LetheanNetwork/lemma-bk --local-dir lemma-bk
- Transformers
How to use LetheanNetwork/lemma-bk with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("LetheanNetwork/lemma-bk") model = AutoModelForMultimodalLM.from_pretrained("LetheanNetwork/lemma-bk", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
data: Lemma 4bit 5-shot strict pass, correct E4B processor (57.1%)
Browse files
results/lemma-4bit-all-5shot-strict.json
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