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Vera
RobiLabs/Vera
Vera is a text generation model from RobiLabs. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
Vera is a 30B-A3B Mixture-of-Experts (MoE) causal language model developed by Robi Labs. Designed for high performance and lightweight deployment, Vera offers deep conversational capability, software engineering skill…
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- mit
- Model type
- veramoelite
- Access
- Public
- Created
- Jul 13, 2026
- Updated
- Jul 20, 2026
- SHA
- 7b04e9f4
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Model card
From the Hugging Face model README
Vera
Vera is a 30B-A3B Mixture-of-Experts (MoE) causal language model developed by Robi Labs. Designed for high performance and lightweight deployment, Vera offers deep conversational capability, software engineering skills, and reasoning support.
Model Summary
- Developed by: Robi Labs
- Model Type: Mixture-of-Experts (MoE) Causal LLM (
VeraMoeLiteForCausalLM) - Languages: English (en)
- License: MIT
- Context Length: 200k tokens
Performances on Benchmarks
| Benchmark | Vera-30B-A3B-MoE | Qwen3-30B-A3B-Thinking-2507 | GPT-OSS-20B |
|---|---|---|---|
| AIME 25 | 91.6 | 85.0 | 91.7 |
| GPQA | 75.2 | 73.4 | 71.5 |
| LCB v6 | 64.0 | 66.0 | 61.0 |
| HLE | 14.4 | 9.8 | 10.9 |
| SWE-bench Verified | 59.2 | 22.0 | 34.0 |
| τ²-Bench | 79.5 | 49.0 | 47.7 |
| BrowseComp | 42.8 | 2.29 | 28.3 |
Key Features
- Architectural Efficiency: Built on a custom MoE architecture (
veramoelite) balancing fast inference times with expert layer routing. - Extended Context: Supports up to 200,000 tokens context window for extensive reasoning, document understanding, and multi-turn conversations.
- Task Capability: Highly optimized for general reasoning, mathematical evaluation, and multi-turn chat alignment.
- Task
- Text Generation
- Library
- transformers
- Type
- veramoelite
- License
- mit
- Languages
- en
- Created
- Jul 13, 2026
- Updated
- Jul 20, 2026