ByteDance (Doubao/Seed)
Top signals
Agent answer
ByteDance (Doubao/Seed) has 99 loaded public signals: 0 hiring, 1 forks, 40 releases or model cards, 0 talking, and 58 repos. Latest signal: ByteDance-Seed/TaskMem. Data-business radar maps 2 signals to Data demand, Evals and quality, Infrastructure, Safety and policy. The standing analysis was generated with an unknown model and 0 evidence refs.
has loaded 99 public signals
has hiring signal count 0
has fork signal count 1
has release signal count 40
Thesis
ByteDance's Seed lab (Doubao/Seed) is shipping aggressively in the open, spanning a foundation-model line (Seed-OSS), specialized reasoning/coding/proving models, multimodal and 3D-vision systems, and the distributed-training and GPU-kernel infrastructure underneath them. The footprint reads as a full-stack research org: it open-sources both the models and the training/serving substrate (VeOmni, Triton-distributed) rather than weights alone. Breadth across modalities — language, vision-language, video, depth, code, theorem proving — is the defining signal.
Shipping
The flagship open release is [Seed-OSS-36B-Instruct](https://huggingface.co/ByteDance-Seed/Seed-OSS-36B-Instruct) (~36B params), the lab's most-downloaded model at 39,280 30-day downloads and 499 likes, paired with [Seed-OSS-36B-Base](https://huggingface.co/ByteDance-Seed/Seed-OSS-36B-Base) (1,852 downloads) and an ablation variant [Seed-OSS-36B-Base-woSyn](https://huggingface.co/ByteDance-Seed/Seed-OSS-36B-Base-woSyn) (116 downloads, 53 likes). The supporting repo [seed-oss](https://github.com/ByteDance-Seed/seed-oss) has 885 stars.
Beyond the base line, the lab ships narrowly specialized models:
- [Stable-DiffCoder-8B-Instruct](https://huggingface.co/ByteDance-Seed/Stable-DiffCoder-8B-Instruct) (766 downloads, 137 likes) and its [Base](https://huggingface.co/ByteDance-Seed/Stable-DiffCoder-8B-Base) (389 downloads) — diffusion-style code generation.
- [BFS-Prover-V2-7B](https://huggingface.co/ByteDance-Seed/BFS-Prover-V2-7B) (606 downloads) and [BFS-Prover-V2-32B](https://huggingface.co/ByteDance-Seed/BFS-Prover-V2-32B) (224 downloads) — automated theorem proving.
- [cudaLLM-8B](https://huggingface.co/ByteDance-Seed/cudaLLM-8B) (178 downloads, 29 likes) — CUDA-kernel generation.
- A family of AHN (Artificial Hippocampus Network) adapters for Qwen-2.5-Instruct at 3B/7B/14B in Mamba2, GDN, and DN variants (each ~50–66 downloads), e.g. [AHN-Mamba2-for-Qwen-2.5-Instruct-3B](https://huggingface.co/ByteDance-Seed/AHN-Mamba2-for-Qwen-2.5-Instruct-3B).
- [M3-Agent-Control](https://huggingface.co/ByteDance-Seed/M3-Agent-Control) (~33B, 50 downloads / 50 likes), the control model behind the m3-agent line.
On GitHub the most-starred work skews multimodal and vision: [Bagel](https://github.com/ByteDance-Seed/Bagel) (5,994 stars), [Depth-Anything-3](https://github.com/ByteDance-Seed/Depth-Anything-3) (5,489), [Seed1.5-VL](https://github.com/ByteDance-Seed/Seed1.5-VL) (1,580), [m3-agent](https://github.com/ByteDance-Seed/m3-agent) (1,369), [SeedVR](https://github.com/ByteDance-Seed/SeedVR) (1,213), [VideoWorld](https://github.com/ByteDance-Seed/VideoWorld) (790), [Seed-Coder](https://github.com/ByteDance-Seed/Seed-Coder) (755), [Seed-Thinking-v1.5](https://github.com/ByteDance-Seed/Seed-Thinking-v1.5) (812), and [TraceAnything](https://github.com/ByteDance-Seed/TraceAnything) (540).
Infrastructure ships on its own cadence: the training framework [VeOmni](https://github.com/ByteDance-Seed/VeOmni) (1,991 stars) has the most active release stream — through [v0.1.11](https://github.com/ByteDance-Seed/VeOmni/releases/tag/v0.1.11) (plus v0.1.10 and several v0.1.9 alphas) — and [Triton-distributed](https://github.com/ByteDance-Seed/Triton-distributed) (1,455 stars) has cut tagged releases from experimental through [v0.0.2-rc](https://github.com/ByteDance-Seed/Triton-distributed/releases/tag/v0.0.2-rc). Smaller tooling releases include [JoltQC v0.1](https://github.com/ByteDance-Seed/JoltQC/releases/tag/v0.1) and a [bamboo_mixer manuscript](https://github.com/ByteDance-Seed/bamboo_mixer/releases/tag/manuscript) tag.
Research themes
No first-party writing captured yet. (Directions are nonetheless legible from the shipped artifacts: multimodal understanding/generation — Bagel, Seed1.5-VL; 3D and video perception — Depth-Anything-3, SeedVR, VideoWorld, TraceAnything; agents with memory — m3-agent / M3-Agent-Control and the AHN "Artificial Hippocampus" adapters; code and CUDA generation — Seed-Coder, Stable-DiffCoder, cudaLLM; theorem proving — BFS-Prover; and reasoning — Seed-Thinking-v1.5.)
Hiring & scaling
No careers data captured yet.
Traction highlights
- Most-starred repos: Bagel (5,994 stars) and Depth-Anything-3 (5,489) lead by a wide margin, followed by the VeOmni training framework (1,991) and Seed1.5-VL (1,580).
- Most-downloaded models: Seed-OSS-36B-Instruct dominates at 39,280 30-day downloads (499 likes) — roughly 21× the next model, Seed-OSS-36B-Base (1,852).
- Likes-to-downloads outliers: Stable-DiffCoder-8B-Instruct (137 likes on 766 downloads) and M3-Agent-Control (50 likes on 50 downloads) draw outsized interest relative to volume.
- No Hacker News threads captured yet.
Data-business radar
cross-lab →2 matches · 4 active lanes
ByteDance (Doubao/Seed) has a repo signal matching data demand, infrastructure, safety and policy.