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AI Models 84759
- Qwen3.8-27B-AWQ-INT4↗
ulkaa
- Aura-Medium-v1.1-GGUF↗
UncannyEcho
- gpt-oss-120b-unsloth-bnb-4bit↗
unsloth
Welcome to the gpt-oss series, OpenAI’s open-weight models designed for powerful reasoning, agentic tasks, and versatile developer use cases. We’re releasing two flavors of the open models: - `gpt-oss-120b` — for production, general purpose, high reasoning use cases that fits into a single H100 GPU (117B parameters with 5.1B active parameters) - `gpt-oss-20b` — for lower latency, and local or specialized use cases (21B parameters with 3.6B active parameters) Both models were trained on our harmony response format and should only be used with the harmony format as it will not work correctly otherwise.
- granite-4.1-30b-GGUF↗
unsloth
- Qwen3-VL-32B-Instruct-unsloth-bnb-4bit↗
unsloth
- Qwen3-VL-8B-Thinking-1M-GGUF↗
unsloth
- mra-base-512-4↗
uw-madison
- c67-h21↗
wandb09
- vit-tiny-patch16-224↗
WinKawaks
Google didn't publish vit-tiny and vit-small model checkpoints in Hugging Face. I converted the weights from the timm repository. This model is used in the same way as ViT-base.
- Spark-X2.6-1.7B-GGUF↗
XHToken
