Qwen3.5-9B
Qwen3.5-9B improved Pass@1 on SWE-bench Verified from 41.8% to 56.4%. The Decoder published an article discussing Qwen3.5‑9B’s fine‑tuning results. Qwen3.5‑9B was evaluated in the same study on AI model honesty as Opus 4.8. The Decoder featured Qwen3.5‑9B’s fine‑tuning results in its coverage. The Decoder published an article covering Qwen3.5‑9B’s fine‑tuned performance. Flora employs a 9B Qwen 3.5 model to split videos into action segments OpenCode uses the Qwen3.5 9B model Ollama runs the Qwen3.5 9B model· Graphiti 生成的实体摘要
关系变化
按生效时间- OpenCodeUSES MODELQwen3.5-9B
OpenCode uses the Qwen3.5 9B model
- OllamaRUNS MODELQwen3.5-9B
Ollama runs the Qwen3.5 9B model
- FloraHAS MODELQwen3.5-9B
Flora employs a 9B Qwen 3.5 model to split videos into action segments
- Qwen3.5-9BFEATURED INTHE DECODER
The Decoder featured Qwen3.5‑9B’s fine‑tuning results in its coverage.
- Qwen3.5-9BPUBLISHED ARTICLE CONCERNINGTHE DECODER
The Decoder published an article discussing Qwen3.5‑9B’s fine‑tuning results.
- Qwen3.5-9BPUBLISHED ARTICLE CONCERNINGTHE DECODER
The Decoder published an article covering Qwen3.5‑9B’s fine‑tuned performance.
- Qwen3.5-9BEVALUATED IN SAME STUDYOpus 4.8
Qwen3.5‑9B was evaluated in the same study on AI model honesty as Opus 4.8.
- Qwen3.5-9BINCREASED PASS AT 1 ON SWE BENCH VERIFIED FROM 41.8 TO 56.4SWE-bench Verified
Qwen3.5-9B improved Pass@1 on SWE-bench Verified from 41.8% to 56.4%.
关系是 Graphiti 从报道中提取的事实陈述，不是原文引述；失效时间表示后来的报道显示这条关系已不成立。