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AI 모델 84760

• Qwen2-1.5B-Instruct-bnb-4bit↗

  unsloth

• Shahajjo↗

  Vidclip

• gemma-4-26B-A4B-it-abliterated-Q4_0-GGUF↗

  voidsip

• Fast-dLLM-v2-7B-dTRPO-Lite↗

  wxzhang

• owlvit-base-patch32↗

  Xenova

  https://huggingface.co/google/owlvit-base-patch32 with ONNX weights to be compatible with Transformers.js. Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using 🤗 Optimum and structuring your repo like this one (with ONNX weights located in a subfolder named `onnx`).

• qwen2.5-0.5b-cluener-lora↗

  xxxsn

• blackthinking↗

  zxc4wewewe

• Qwen2.5-7B-Instruct-GGUF↗

  Afhskxkod

• AI21-Jamba-Reasoning-3B↗

  ai21labs

  AI21’s Jamba Reasoning 3B is a top-performing reasoning model that packs leading scores on intelligence benchmarks and highly-efficient processing into a compact 3B build. Read the full blog post here. The hybrid design combines Transformer attention with Mamba (a state-space model). Mamba layers are more efficient for sequence processing, while attention layers capture complex dependencies. This mix reduces memory overhead, improves throughput, and makes the model run smoothly on laptops, GPUs, and even mobile devices, while maintainig impressive quality. **Smart: Leading intelligence scores** The model outperforms competitors, such as Gemma 3 4B, Llama 3.2 3B, and Granite 4.0 Micro, on a combined intelligence score that averages 6 standard benchmarks.

• FLUX.1-schnell-Quantized↗

  aifoundry-org