{"schema_version":"onlylabs.public_signal.v1","title":"Snowflake (Arctic) Model: Snowflake/Qwen-2.5-coder-Arctic-ExCoT-32B","description":"Snowflake (Arctic) model signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/430b8067-fc8c-4e5e-8451-84b3cc6b1887","json_url":"https://onlylabs.fyi/signals/430b8067-fc8c-4e5e-8451-84b3cc6b1887/signal.json","generated_at":"2026-06-11T02:50:44.813212+00:00","org":{"slug":"snowflake","name":"Snowflake (Arctic)","category":"neocloud","category_label":"Neocloud","dossier_url":"https://onlylabs.fyi/labs/snowflake","dossier_json_url":"https://onlylabs.fyi/labs/snowflake/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/430b8067-fc8c-4e5e-8451-84b3cc6b1887","signal_json":"https://onlylabs.fyi/signals/430b8067-fc8c-4e5e-8451-84b3cc6b1887/signal.json","source":"https://huggingface.co/Snowflake/Qwen-2.5-coder-Arctic-ExCoT-32B","lab_dossier":"https://onlylabs.fyi/labs/snowflake","lab_dossier_json":"https://onlylabs.fyi/labs/snowflake/dossier.json","analysis":"https://onlylabs.fyi/analysis/snowflake","analysis_json":"https://onlylabs.fyi/analysis/snowflake/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/snowflake/evidence.json","category":"https://onlylabs.fyi/neoclouds","category_json":"https://onlylabs.fyi/neoclouds.json","category_feed":"https://onlylabs.fyi/neoclouds/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neocloud","topic":"https://onlylabs.fyi/topics/releases","topic_signals_json":"https://onlylabs.fyi/topics/releases/signals.json?category=neocloud","topic_feed":"https://onlylabs.fyi/topics/releases/feed.xml?category=neocloud","data_business":null},"answer_pack":{"answer":"Snowflake (Arctic) published Snowflake/Qwen-2.5-coder-Arctic-ExCoT-32B. 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ExCoT is a novel framework that combines CoT prompting with SQL execution-based DPO, using execution results — not human preferences — as the feedback signal. This enables scalable, high-quality model optimization without requiring expensive human annotations. Based on our internal testing, ExCoT delivered state-of-the-art results on the [BIRD-test benchmark](https://bird-bench.github.io/), achieving best-in-class performance in the single-model, single-inference category using only public datasets (BIRD and Spider) and no additional Text2SQL data: * [Llama-3.1-Arctic-ExCoT-70B](https://huggingface.co/Snowflake/Llama-3.1-Arctic-ExCoT-70B) improved execution accuracy on the BIRD-dev set from the base model’s 57.37% to 68.51%. [Qwen-2.5-coder-Arctic-ExCoT-32B](https://huggingface.co/Snowflake/Qwen-2.5-coder-Arctic-ExCoT-32B) achieved similarly strong gains. * Both models significantly outperformed other well-known frontier general-purpose models, achieving over 10 points of improvement. For more..."},"evidence_pages":[{"url":"https://huggingface.co/Snowflake/Qwen-2.5-coder-Arctic-ExCoT-32B/raw/main/README.md","final_url":"https://huggingface.co/Snowflake/Qwen-2.5-coder-Arctic-ExCoT-32B/raw/main/README.md","title":"Snowflake/Qwen-2.5-coder-Arctic-ExCoT-32B model card","http_status":200,"content_type":"text/plain; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T02:50:44.813212+00:00","bytes":2883,"raw_path":"d237a47952d629e39c35483e205228227605a9441cf3a649cc300f0fccccc5d8.md","content_hash":"caf2d79b6cff0704aba057e58e6e8df2c6ee3713913b209f69d8475e28eae073","excerpt_chars":1200,"truncated":true,"excerpt":"--- license: cc-by-nc-4.0 base_model: - Qwen/Qwen2.5-Coder-32B --- Arctic Text2SQL: ExCoT Snowflake’s AI research team introduces ExCoT, the first model in the Arctic Text2SQL family. ExCoT is a novel framework that combines CoT prompting with SQL execution-based DPO, using execution results — not human preferences — as the feedback signal. 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