> ❤️ Support & Community: If you find this model helpful, please give this repository a Like on Hugging Face and a ⭐ Star on our SigmaStudio GitHub! Qwen-Qwen3.8-27B-GGUF-Q4KM is a production-ready model optimized and published using the Model Hub module of Sigma Studio. Evaluated directly on GPU via Sigma Studio Training Lab (Deterministic seed 42, Temp 0.0): Side-by-side performance comparison between direct zero-overhead answer (No-Thinking) and Chain-of-Thought step-by-step reasoning (Deep Thinking CoT): Protocol: codeexecution, continuationlogprob, cotgeneration, letterlogprob · temp 0.0 · seed 42 Reproducibility hash: SHA256-DBC4614BF3056DFE > ⚠️ Measured on a slice of the dataset, not the full suite: this score is not comparable with a full-suite run. Empirical multi-turn agent reliability evaluation (zero quizzes, fully grounded file-system actions inside isolated Sandbox Jail): — ✅ Tool Grounding: Exclusively uses registered tools and valid schemas (zero hallucinated functions). — ✅ Zero Placeholder Echo: Emits concrete code and values rather than copy-pasting prompt templates. — ✅ Inspect-Before-Edit: Systematically reads files and verifies target lines before patching.…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: sigmanih
Теги: gguf, sigma-studio, sigmanih, conversational, custom-model, llama.cpp, quantized, q4_k_m
Лайков: 3 | Загрузок: 907
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
