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Anbeeld
/
LLaMA3.1-8B-Instruct-DFlash-UltraChat-GGUF

Feature Extraction
Transformers
Safetensors
qwen3
dflash
speculative-decoding
diffusion
efficiency
flash-decoding
qwen
diffusion-language-model
text-generation
custom_code
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use Anbeeld/LLaMA3.1-8B-Instruct-DFlash-UltraChat-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Anbeeld/LLaMA3.1-8B-Instruct-DFlash-UltraChat-GGUF with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Anbeeld/LLaMA3.1-8B-Instruct-DFlash-UltraChat-GGUF", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Anbeeld/LLaMA3.1-8B-Instruct-DFlash-UltraChat-GGUF", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
LLaMA3.1-8B-Instruct-DFlash-UltraChat-GGUF
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  • 1 contributor
History: 3 commits
Anbeeld's picture
Anbeeld
Fix README metadata and assets
bde23d8 verified 1 day ago
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    Fix README metadata and assets 1 day ago
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