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LetheanNetwork
/
lemma-bk

Any-to-Any
MLX
Safetensors
Transformers
GGUF
English
gemma4
image-text-to-text
4-bit precision
8-bit precision
Model card Files Files and versions
xet
Community

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
lemma-bk
544 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 12 commits
lthn's picture
lthn
add MLX 4bit: chat_template.jinja
ccae90f verified 6 months ago
  • results
    data: Lemma 4bit 5-shot strict pass, correct E4B processor (57.1%) 6 months ago
  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • LICENSE.md
    13.8 kB
    docs: add EUPL-1.2 licence 6 months ago
  • README.md
    1.37 kB
    docs: clean card, cross-link models 6 months ago
  • chat_template.jinja
    11.9 kB
    add MLX 4bit: chat_template.jinja 6 months ago
  • processor_config.json
    1.69 kB
    add processor_config.json from base model 6 months ago