Averroes Q Instruct is an open-source language model by hayulalab. Features: 7.6b LLM, VRAM: 15.2GB, Context: 32K, License: other, Instruction-Based, LLM Explorer Score: 0.29.
| LLM Name | Averroes Q Instruct |
| Repository 🤗 | https://huggingface.co/hayulalab/Averroes-Q-Instruct |
| Model Creator | Hayula Labs |
| Model Size | 7.6b |
| Required VRAM | 15.2 GB |
| Updated | 2026-07-01 |
| Maintainer | hayulalab |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | ar en |
| Model Architecture | Qwen2ForCausalLM |
| License | other |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.43.1 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 152064 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| LiberalMind V1.5 | 32K / 30.5 GB | 344 | 1 |
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟