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AI 模型 84759

• gemma-7b-it-sfp-cpp↗

  Google

• LLaDA-1.5↗

  GSAI-ML

  We introduce LLaDA 1.5, a competitive large diffusion language model, trained by variance-reduced preference optimization (VRPO), as presented in the paper LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models. Compared with LLaDA-8B-Instruct, LLaDA 1.5 achieves better performance on a wide range of tasks, including Math, Code, and Alignment tasks.

• mamba2-mRNA↗

  helical-ai

• wam_ctxpool_avg↗

  hmkang

• CantoneseLLM-v2.0-8B-Thinking↗

  hon9kon9ize

• Ternary-Bonsai-2-27B-Uncensored-Heretic-swift_unc↗

  hotdogs

• granite-4.0-h-350m↗

  ibm-granite

  **Model Summary:** Granite-4.0-H-350M is a lightweight instruct model finetuned from *Granite-4.0-H-350M-Base* using a combination of open source instruction datasets with permissive license and internally collected synthetic datasets. This model is developed using a diverse set of techniques including supervised finetuning, reinforcement learning, and model merging. **Supported Languages:** English, German, Spanish, French, Japanese, Portuguese, Arabic, Czech, Italian, Korean, Dutch, and Chinese. Users may fine-tune Granite 4.0 Nano models to support languages beyond those included in this list. **Intended use:** Granite 4.0 Nano instruct models feature strong instruction following capabilities bringing advanced AI capabilities within reach for on-device deployments and research use cases. Additionally, their compact size makes them well-suited for fine-tuning on specialized domains without requiring massive compute resources.

• K2-V2 (Medium)↗

  Institute of Foundation Models

• Qwen3.5-4B-int4-AutoRound↗

  Intel

• kpfbert↗

  jinmang2