Model Detail
MiniMax-M2.7-Small-JANGTQ
—MiniMax-M2.7-Small-JANGTQ is a code generation model with 4.8B parameters released by OsaurusAI. The model is registered under the text-generation pipeline tag on Hugging Face, distributed under a other license.
MiniMax-M2.7-Small-JANGTQ ships with 4.8B parameters. Total weight footprint is approximately 9.6 GB, which is the relevant figure when planning local-inference VRAM. Distribution is governed by the other license — review the exact terms before commercial deployment.
MiniMax-M2.7-Small-JANGTQ 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.
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