Model Detail
Decision-2.0-Vega-27B
—Decision-2.0-Vega-27B is a code generation model with 27B parameters released by vllm-sr. The model is registered under the zero-shot-classification pipeline tag on Hugging Face, distributed under the permissive apache-2.0 license.
Decision-2.0-Vega-27B ships with 27B parameters. The apache-2.0 license is permissive, allowing commercial deployment and derivative work without per-seat fees, though attribution requirements still apply.
Decision-2.0-Vega-27B 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.
Large Language Models in Transportation Systems Management and Operations: From Text Reasoning to Multi-modal Decision Support
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Literal Lock-In: How Test Language Shifts Literal Attraction in Typed Decision Models on Bengali Idioms
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Non-Parametric Optimization for Scalable Learning in Stochastic Decision Problems
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