Arabic-English bilingual focus
The card and hub tags describe Arabic and English text generation and understanding, including handling linguistic nuances in both languages.
Open Source Model Profile · MawaredHR
Mawared_T1
Mawared_T1 is a 7.62B-parameter Qwen2 bilingual fine-tune from MawaredHR. The card identifies arcee-ai/Meraj-Mini as the base for Arabic and English use.
- Publisher
- MawaredHR
- Task
- text-generation
- Model type
- qwen2
- License
- apache-2.0
- Library
- transformers
- Publication status
- Accepted · not indexed
Model overview
Mawared_T1 is published by MawaredHR as a text-generation fine-tune. The captured configuration identifies Qwen2ForCausalLM with a qwen2 model type, and Safetensors metadata reports 7,615,616,512 parameters. According to the model card, it is a bilingual Arabic and English assistant fine-tuned from arcee-ai/Meraj-Mini, and the captured license is Apache-2.0.
Recorded capabilities
Documented Meraj-Mini base
The card and hub tags both identify arcee-ai/Meraj-Mini as the fine-tune source.
Unsloth and TRL stack
According to the card, training used Unsloth with Hugging Face TRL, reporting faster and more efficient training with reduced resource use.
Qwen2 7.62B configuration
Captured config identifies Qwen2ForCausalLM and qwen2, with Safetensors metadata reporting 7,615,616,512 parameters.
Use cases in the source record
- Arabic and English conversational assistance, content creation, and multilingual text analysis as described in the publisher card.
- Unsloth and TRL bilingual fine-tuning research building on the documented Meraj-Mini base.
Limitations and unknowns
- No evaluation results were extracted from this record.
- No context-window value, hardware requirement, or quantization detail was extracted.
- Provider state is historical snapshot data, not independently refreshed current availability.
- Capability, speed, and domain-specialization claims come from the publisher card and were not independently verified by Ethen.
Source and provenance
Source: MawaredHR/Mawared_T1
Captured: Unknown. Processed: 2026-09-07T19:35:13.152455+00:00.
Bilingual Assistant Model Card Overview This bilingual language model is designed to support seamless text generation and understanding in both Arabic (ar) and English (en). Fine-tuned from the arcee-ai/Meraj-Mini base model, it offers robust multilingual capabilities optimized for various applications such as conversational agents, content creation, and multilingual text analysis. Key Highlights Multilingual Proficiency: Designed to handle complex linguistic nuances in both Arabic and English, ensuring high-quality outputs in both languages. Performance Optimization: Achieved 2x faster training through innovative methods provided b…
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