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AI Models 84760

• Banunga_sdxl_lora↗

  obann001

• InternVL-Chat-V1-2↗

  OpenGVLab

  We are excited to introduce 🤗 InternVL-Chat-V1-2. Inspired by LLaVA-NeXT-34B, we have also adopted Nous-Hermes-2-Yi-34B as the language model. Below is the pipeline. From the experimental results, we've observed that **a stronger language model (34B) can better leverage the powerful capabilities of our vision foundation model.** For better training reproducibility, we follow the minimalist design and data efficiency similar to LLaVA-NeXT. To reduce training costs, we provide a pre-trained MLP projector and only employ around 1.2 million visual instruction tuning samples for SFT. Our model has a total of 40 billion parameters and can be trained within 1.5 days using 32 A100 GPUs. The code, data, and model have been made publicly available.

• openvla-7b-finetuned-libero-goal↗

  openvla

• Atlas-Coder-2-0.5B-GGUF↗

  Pluto-AI-Labs

• Chinda-Qwen3-4B-F32-GGUF↗

  prithivMLmods

• Qwen3-1.7B-SPFT-ultrafeedback↗

  pvdhihihi

• Pantheon-RP-1.5-12b-Nemo-GGUF↗

  QuantFactory

• Qwen3-TTS-12Hz-0.6B-Base↗

  阿里巴巴 · Qwen

  Qwen3-TTS is a family of advanced multilingual, controllable, robust, and streaming text-to-speech models. Trained on over 5 million hours of speech data spanning 10 languages, Qwen3-TTS supports state-of-the-art 3-second voice cloning and description-based control. This specific checkpoint is the **0.6B Base model**, which is capable of rapid voice cloning from a user-provided audio input. To clone a voice and synthesize new content using the Base model, you can use the following code snippet:

• Ring-mini-2.0-GGUF-ik↗

  redponike

• AIGym_-_deepseek-coder-1.3b-chat-gguf↗

  RichardErkhov