by openai-community
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These are 4-bit quantized weights for NVIDIA GPUs; load them with a library that supports AWQ, such as vLLM or Hugging Face Transformers.
Plan for roughly 17 GB of memory to load it (our estimate from its size and format).
The model card on Hugging Face has the exact usage code.
Both load GGUF builds; for other formats, look for a GGUF version of this model.
Needs about 17 GB: a 24 GB GPU such as an RTX 4090 or RTX A5000 is enough.
Data from Hugging Face's public API, last checked October 7, 2026. Downloads are Hugging Face's count for the last 30 days.