testingusera1/Qwen2.5-Coder-7B-CSharp-QLoRA-GGUF
AI model by testingusera1
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Model card & documentation
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Это Qwen/Qwen2.5-Coder-7B-Instruct, дообученный методом QLoRA (LoRA r=64, alpha=32, все 7 проекций) на 93K примерах с акцентом на C# и русскоязычные диалоги о программировании. В репозитории — GGUF-кванты слитой (merged) модели для llama.cpp / LM Studio / Ollama. ⚠️ Не используйте Q4KM для этой модели: на нём стирается эффект дообучения (ответы совпадают с базовой моделью). Начиная с Q5KM преимущества адаптера сохраняются. MultiPL-E (humaneval-cs 158 + mbpp-cs 386 задач, greedy, компиляция через dotnet 9, Debug.Assert-тесты): Различия статистически незначимы (тест Макнемара, p 0.08–0.87): на англоязычном бенчмарке в стиле MultiPL-E модель ведёт себя на уровне базы. Качественный…
Read the full model card ↗ · Preview checked 2026-10-28T23:15:41.165Z
Inside the original model card — Document outline
- Qwen2.5-Coder-7B — C#-дообучение (QLoRA, GGUF-кванты)
- Кванты
- Как тестировалась модель
- Обучение
- Использование
- Лицензия и ограничения
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
testingusera1/Qwen2.5-Coder-7B-CSharp-QLoRA-GGUF is a task-unspecified model repository published by testingusera1 on Hugging Face. The source reports the gguf library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- Not reported
- Library
- gguf
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-09T06:18:33.000Z
- Last modified
- 2026-10-09T06:22:57.000Z
Compatibility and lineage
Reported languages: ru, code
Reported base models: Qwen/Qwen2.5-Coder-7B-Instruct
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-09T06:40:49.674Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.