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    Models/Reinforcement Learning/MooreThreads/MusaCoder-27B

    MusaCoder-27B

    by MooreThreads

    368dl/month
    37likes
    Identifier
    Model ID
    MooreThreads/MusaCoder-27B

    Tags

    safetensorsqwen3_5CUDAMUSAGPU-KernelReinforcement-Learningreinforcement-learningenzharxiv:2606.04847base_model:Qwen/Qwen3.6-27Bbase_model:finetune:Qwen/Qwen3.6-27Blicense:apache-2.0region:us

    Use MusaCoder-27B on Mixpeek

    Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.

    Open Studio

    How It Runs on Mixpeek

    On Mixpeek, MusaCoder-27B runs as a managed extractor inside a processing pipeline. Point a bucket of reinforcement learning data at it, and Mixpeek handles GPU provisioning, batching, retries, and writing the outputs into a vector store you can query.

    Extractor outputs land in the Mixpeek Vector Store (MVS), where you can combine them with retrieval, reranking, and filter stages to build end-to-end search and agent-perception pipelines, no model-serving infrastructure to maintain.