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AI 모델 84759

• Qwen3-VL-4B-Instruct-gguf↗

  John1604

• LTX-2.3-Transition-LORA↗

  joyfox

  This LoRA is trained on top of **Lightricks/LTX-2.3** and is built with a custom training paradigm tailored for high-consistency video generation. It was originally optimized for **first-frame / last-frame guided transition videos**, but the same training strategy also gives it strong generalization in: - **First-to-last frame video generation** - **Text-to-video** - **Image-to-video** - **Stylized transformation and scene transition generation**

• xor↗

  juspay

• opir-multitask-large-v1.0↗

  knowledgator

• unitree-g1-mujoco↗

  lerobot

• LateOn-Code-edge↗

  lightonai

  The LateOn-Code collection is composed of PyLate models optimized for code retrieval. These late interaction models are first pre-trained following the methodology of CoRNStack. These pre-trained models are then further fine-tuned on train sets of CoIR using the nv-retriever methodology to mine hard negatives while preventing false negatives. We started from the two best ColBERT models on the BEIR benchmark for their respective sizes. The first one, LateOn-Code is based on in-house LateOn model, a new version of GTE-ModernColBERT-v1 built on ModernBERT-base (also developed at LightOn). This version underwent significantly deeper training, crossing the 57 mark on BEIR, almost a 2.5-point improvement and is thus SOTA by a large margin. We'll release this base model along with training data and boilerplates in the near future, so stay tuned\! The second, LateOn-Code-edge is a smaller model based on the edge-colbert model family from mixedbread, using the smallest variant (Ettin-17M) for maximum efficiency. For more details on the training setup, please refer to our blogpost. The original CoRNStack data in a format compatible with PyLate can be found here while the fine-tuning data can be found here. Training boilerplates can be found here in the PyLate repository

• NVIDIA-Nemotron-3-Nano-30B-A3B-MLX-5bit↗

  lmstudio-community

  _👾 LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord_. **Model creator**: nvidia **Original model**: NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 **MLX quantization**: provided by LM Studio team using mlx_lm 5-bit quantized version of NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 using MLX, optimized for Apple Silicon.

• Phi-4-mini-reasoning-MLX-4bit↗

  lmstudio-community

  This model lmstudio-community/Phi-4-mini-reasoning-MLX-4bit was converted to MLX format from microsoft/Phi-4-mini-reasoning using mlx-lm version **0.24.0**.

• Llama-Poro-2-70B-Instruct↗

  LumiOpen

• DeepSeek-V4.1-Flash-1017-oQ2.5e-ngram-mtp↗

  mlx-community