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AI Models 84759

  • Qwopus3.5-4B-Coder-MTP-GGUF↗

    Jackrong

    💡 What is Qwopus3.5-4B-Coder? 🪐 Qwopus3.5-4B-Coder is a compact coding and agent model built on the Qwen3.5 4B family. It is optimized for local execution, code debugging, structured tool-use behavior, and reasoning-heavy developer workflows. The training recipe follows the Qwopus Coder line: Trace Inversion for learnable reasoning traces, high-quality agent trajectories for tool behavior, and curriculum SFT to preserve formatting stability under longer contexts. 🧩 Structured Debugging Targets bug localization, minimal patch reasoning, and environment-verified code repair behavior. 🪶 Agent Trace Alignment Learns from tool-call trajectories that include real feedback loops, not only isolated prompt-response pairs.

  • Qwen3.8-27B-JANG_4D↗

    JANGQ-AI

  • jina-embeddings-v5-text-nano-text-matching↗

    jinaai

    `jina-embeddings-v5-text-nano-text-matching` is a compact, high-performance text embedding model designed for text-matching. It is part of the **jina-embeddings-v5-text** model family, which also includes jina-embeddings-v5-text-small, for better performance at a bigger size. Trained using a novel approach that combines distillation with task-specific contrastive losses, `jina-embeddings-v5-text-nano-text-matching` outperforms existing state-of-the-art models of similar size across diverse embedding benchmarks. | Feature | Value | | --- | --- | | Parameters | 239M | | Supported Tasks | `text-matching` | | Max Sequence Length | 8192 | | Embedding Dimension | 768 | | Matryoshka Dimensions | 32, 64, 128, 256, 512, 768 | | Pooling Strategy | Last-token pooling | | Base Model | jinaai/jina-embeddings-v5-text-nano |

  • modelscope-damo-text2video-pruned-weights↗

    kabachuha

  • Qwen3-VL-Embedding-2B-AWQ-4bit↗

    LifetimeMistake

  • Audio8-TTS-Preview-0.6b↗

    litert-community

  • whisper-base↗

    litert-community

  • Mistral-Small-3.1-24B-Instruct-2503-GGUF↗

    lmstudio-community

  • Qwen3.5-4B-GGUF↗

    lmstudio-community

    *👾 LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord*. **Model creator**: Qwen **Original model**: Qwen3.5-4B **GGUF quantization**: provided by LM Studio team using `llama.cpp` release b8185 🙏 Special thanks to Georgi Gerganov and the whole team working on llama.cpp for making all of this possible.

  • gpt2-medium-conversational↗

    Locutusque