Tiel-Coder-35B-A3B-GGUF-MTP

모델 소개

*Tiel* is the fast coder of the arsenal. At 4-bit quantization and 23 GB it fixes real codebase issues at the rate (and speed, with the right GPU) of Opus 4.6 medium, while holding the best multi-turn conversation of any local model we have measured. It is also cheerfully bad at trivia. > **This is Ornith-1.5-35B-A3B re-quantized > dynamically with our own imatrix and carrying the Sharp chat template** > inside the GGUF. Find the non-MTP GGUFs here, and the non-MTP MLX > version here. > **The uncensored and improved CyberTiel is out now!** Get it here. **Where it stands.** On 25 SWE-bench-Live problems Tiel fixes 12 — the same as Opus 4.6 (medium), four more than Ornith-1.5 itself, three more than Nail, and four more than Sonnet 5 (medium). Among models of its own class it is first; the ones ahead are dense 27Bs and Opus 5. Its time per attempt is also steadier than Nail's: an 8.6 minute median against 7.2, but a 12.3 minute mean against 15.7, because it lacks Nail's tail of expensive attempts.

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주요 특징

• Optimized for fast, practical codebase problem-solving at 4-bit quantization (23 GB size)
• Supports multi-turn conversations better than other local models in its class
• Uses the Sharp chat template and custom dynamic imatrix re-quantization of Ornith-1.5-35B-A3B

한계 및 유의 사항

• Cheerfully bad at trivia tasks
• Lower mean time per attempt (12.3 min) than Nail's (15.7 min) but higher median (8.6 vs 7.2 min), indicating less consistent speed under load
• Performance lags behind dense 27B models and Opus 5 on SWE-bench-Live

출처별 요금 및 비용 분석

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공개 평가 및 실행 설정

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

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출처 및 추적 기록

许可证：mit。模型介绍与第三方评测均以原来源的具体版本和方法为准。