Model Card on HF 🤗: https://huggingface.co/Dorian2B/Vera-Instruct
Vera Instruct Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Vera Instruct Parameters and Internals
| LLM Name | Vera Instruct |
| Repository 🤗 | https://huggingface.co/Dorian2B/Vera-Instruct |
| Model Size | 2.6b |
| Required VRAM | 5.2 GB |
| Updated | 2025-09-23 |
| Maintainer | Dorian2B |
| Model Type | gemma2 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | fr en |
| Model Architecture | Gemma2ForCausalLM |
| License | apache-2.0 |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.50.0 |
| Tokenizer Class | GemmaTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 256000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Vera Instruct
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Vera V1.1 Instruct | 8K / 5.2 GB | 6 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Dorian2B/Vera-Instruct .
Rank the Vera Instruct Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124