Model Detail
MOSS-Audio-4B-Thinking
—MOSS-Audio-4B-Thinking is a code generation model with 4B parameters released by OpenMOSS-Team. The model is registered under the audio-text-to-text pipeline tag on Hugging Face, distributed under the permissive apache-2.0 license.
MOSS-Audio-4B-Thinking ships with 4B parameters. Total weight footprint is approximately 5.2 GB, which is the relevant figure when planning local-inference VRAM. The apache-2.0 license is permissive, allowing commercial deployment and derivative work without per-seat fees, though attribution requirements still apply.
MOSS-Audio-4B-Thinking is best fit for code completion, repository-scale Q&A, and pair-programming integrations. It is a less obvious choice for one-shot generation of security-critical code without review. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.
MOSS: A Production Framework for Monitoring and Diagnosing Semantic Failures in Search and Recommendation Systems
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MOSS-Audio Technical Report
arXiv:2606.01802v2 Announce Type: replace-cross Abstract: MOSS-Audio is a unified audio-language model for speech, environmental sound, and music understanding, supporting audio captioning, time-aware question answering, timestamped transcription, and audio-grounded reasoning. MOSS-Audio couples a d
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MOSS: Self-Evolution through Source-Level Rewriting in Autonomous Agent Systems
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