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goutam
/
LFM2.5-1.2B-RLCD

Text Classification
Transformers
Safetensors
English
lfm2
text-generation
calibration
typed-decisions
system-one
rlcd
decision-making
jev-compatible
Model card Files Files and versions
xet
Community

Instructions to use goutam/LFM2.5-1.2B-RLCD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use goutam/LFM2.5-1.2B-RLCD with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="goutam/LFM2.5-1.2B-RLCD")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("goutam/LFM2.5-1.2B-RLCD")
    model = AutoModelForCausalLM.from_pretrained("goutam/LFM2.5-1.2B-RLCD", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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  • .gitattributes
    1.52 kB
    initial commit 3 days ago
  • README.md
    3.95 kB
    Update model card: precise RL terms; independent repos 3 days ago
  • chat_template.jinja
    1.3 kB
    Upload folder using huggingface_hub 3 days ago
  • config.json
    1.29 kB
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  • generation_config.json
    132 Bytes
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  • model.safetensors
    2.34 GB
    xet
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  • tokenizer.json
    4.73 MB
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  • tokenizer_config.json
    622 Bytes
    Upload folder using huggingface_hub 3 days ago