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Cyb3RQ/qwen3-8b-arabic-poetry-v3
qwen3-8b-arabic-poetry-v3 is a text generation model from Cyb3RQ. Use it when you need the model to write or continue text. The card lists the license as apache-2.0.
Experimental Arabic poetry fine-tune based on Qwen/Qwen3-8B, exported as GGUF for LM Studio and llama.cpp.
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.gguf5 GB · 100%
From the Hugging Face model README
Experimental Arabic poetry fine-tune based on Qwen/Qwen3-8B, exported as GGUF for LM Studio and llama.cpp.
This build was trained from a local OCR-cleaned Arabic poetry corpus and merged into the Qwen3-8B base model. The goal is better Arabic poetic style, continuation, and short literary analysis.
| File | Quantization | Size | Recommended use |
|---|---|---|---|
qwen3-8b-arabic-poetry-v3-Q4_K_M.gguf | Q4_K_M | ~4.68 GiB | LM Studio / llama.cpp testing |
SHA256:
B8C457A9CC0527283315BE465CAE42A65F92234EAC366F136FC7A7BC67B62E1B
40960.60.91.1 to 1.15200-400Thinking mode is not recommended for this first public test build. Local tests showed non-thinking mode stops cleanly, while thinking mode can continue until the token cap.
This GGUF is a Q4_K_M quantization of an 8B model, so it is intended for local inference on consumer GPUs, Apple Silicon, or CPU through LM Studio, llama.cpp, Ollama-compatible GGUF loaders, or similar runtimes.
| Hardware | Compatibility | Notes |
|---|---|---|
| NVIDIA RTX 4090 24 GB | Tested | Full GPU offload at 4096 context. Measured around 5.3 GB VRAM for model/context/compute and ~121 tok/s generation in llama.cpp. |
| NVIDIA GPU 8 GB+ | Recommended | Should comfortably run the Q4_K_M file with 4096 context and full or near-full GPU offload. |
| NVIDIA GPU 6 GB | Likely usable | Use 2048-4096 context. If it runs out of VRAM, reduce context or GPU offload layers. |
| Apple Silicon 16 GB+ unified memory | Likely usable | Use LM Studio/llama.cpp with Metal. Performance depends heavily on chip generation. |
| CPU only, 16 GB+ RAM | Usable but slower | Works best with llama.cpp/LM Studio CPU mode. Expect much lower tok/s than GPU. |
Minimum practical memory guidance:
اكتب أربعة أبيات عربية فصيحة عن الحنين إلى الوطن، ولا تشرح.
حلل هذه الصورة الشعرية باختصار: الليل يسند رأسه إلى كتف النهر.
أكمل بيتين بأسلوب عربي شعري: في الصحراء نام الضوء فوق رمالها
Tested locally with llama.cpp on RTX 4090:
Qwen/Qwen3-8Bq_proj, k_proj, v_proj, o_proj16161.184This is an experimental model, not a final production Arabic poetry model.
The base model Qwen/Qwen3-8B is Apache-2.0. This derivative GGUF is released under Apache-2.0.