{"schema_version":"onlylabs.public_signal.v1","title":"ByteDance (Doubao/Seed) Model: ByteDance-Seed/cudaLLM-8B","description":"ByteDance (Doubao/Seed) model signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/52038a39-ade8-4e6a-90b1-cfbaf97f3ae1","json_url":"https://onlylabs.fyi/signals/52038a39-ade8-4e6a-90b1-cfbaf97f3ae1/signal.json","generated_at":"2026-06-11T02:50:38.102005+00:00","org":{"slug":"bytedance","name":"ByteDance (Doubao/Seed)","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/bytedance","dossier_json_url":"https://onlylabs.fyi/labs/bytedance/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/52038a39-ade8-4e6a-90b1-cfbaf97f3ae1","signal_json":"https://onlylabs.fyi/signals/52038a39-ade8-4e6a-90b1-cfbaf97f3ae1/signal.json","source":"https://huggingface.co/ByteDance-Seed/cudaLLM-8B","lab_dossier":"https://onlylabs.fyi/labs/bytedance","lab_dossier_json":"https://onlylabs.fyi/labs/bytedance/dossier.json","analysis":"https://onlylabs.fyi/analysis/bytedance","analysis_json":"https://onlylabs.fyi/analysis/bytedance/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/bytedance/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":"https://onlylabs.fyi/topics/releases","topic_signals_json":"https://onlylabs.fyi/topics/releases/signals.json","topic_feed":"https://onlylabs.fyi/topics/releases/feed.xml","data_business":null},"answer_pack":{"answer":"ByteDance (Doubao/Seed) published ByteDance-Seed/cudaLLM-8B. 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It is based on the Qwen3-8B model and has undergone a two-stage training process to master the complexities of parallel programming for GPUs. **Performance on KernelBench:** | | Bo1 | Bo2 | Bo4 | Bo8 | Bo16 | |---------|-------|-----|-----|-----|------| | Level-1 | 79.75 | 83 | 84 | 86 | 87 | | Level-2 | 67.30 | 70 | 71 | 72 | 73 | | Level-3 | 20.83 | 26 | 30 | 34 | 36 | Training Procedure The model was trained using the verl library. The model was trained and evaluated on: - SFT Dataset: A high-quality dataset of CUDA problem-solution pairs ([sft_cuda_llm_r1.parquet](https://huggingface.co/datasets/ByteDance-Seed/cudaLLM-data)), originally generated by DeepSeek R1, DeepSeel Coder-7B, and Qwen2-32B. - RL Dataset: A refined dataset ([rl_cuda_llm_0424.parquet](https://huggingface.co/datasets/ByteDance-Seed/cudaLLM-data)) used to provide..."},"evidence_pages":[{"url":"https://huggingface.co/ByteDance-Seed/cudaLLM-8B/raw/main/README.md","final_url":"https://huggingface.co/ByteDance-Seed/cudaLLM-8B/raw/main/README.md","title":"ByteDance-Seed/cudaLLM-8B model card","http_status":200,"content_type":"text/plain; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T02:50:38.102005+00:00","bytes":2463,"raw_path":"e6b4f70e7a665f9b6fdc861de349f9ccc71077d6afb0db8de76148e649c9715d.md","content_hash":"93e6d9f1f9b16dcdbaf854b1ef614687a39983a59dd83357e1711a19109ffba9","excerpt_chars":1200,"truncated":true,"excerpt":"--- license: apache-2.0 datasets: - ByteDance-Seed/cudaLLM-data base_model: - Qwen/Qwen3-8B pipeline_tag: text-generation tags: - code - CUDA --- CudaLLM: A Language Model for High-Performance CUDA Kernel Generation Model Description cudaLLM-8B is a language model for generating high-performance and syntactically correct CUDA kernels. It is based on the Qwen3-8B model and has undergone a two-stage training process to master the complexities of parallel programming for GPUs. **Performance on KernelBench:** | | Bo1 | Bo2 | Bo4 | Bo8 | Bo16 | |---------|-------|-----|-----|-----|------| | Level-1 | 79.75 | 83 | 84 | 86 | 87 | | Level-2 | 67.30 | 70 | 71 | 72 | 73 | | Level-3 | 20.83 | 26 | 30 | 34 | 36 | Training Procedure The model was trained using the verl library. 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