HaloGuard 2.0, a 0.8B guard model on Bittensor, claims SOTA over Qwen3Guard and big-lab models
markjeffrey · x · 2026-11-05
Trishool AI claims HaloGuard 2.0 is the new SOTA for open streaming safety guards: at just 0.8B parameters it beats Qwen3Guard-Stream at every size and outperforms much larger models from NVIDIA, Google, Alibaba and Meta. Built on decentralized network Bittensor — note the post's $TAO promotion angle.
More from Models
- Ricursive releases Ripple-65B Preview, claiming US open-weight SOTA on agentic coding — DZhang50 · 2026-11-05
- Liquid AI ships LFM 3 models (1.7B/2B) running locally on iPhone Duo via MLX — helloiamleonie · 2026-11-05
- particle-1 tested on real agent work: near-Opus quality for under $2 a day — heyneighbor · 2026-11-05
- Speculative decoding makes Qwen3.6/3.8 much faster, latest draft model adds ~10% — teortaxesTex · 2026-11-05
- webAI open-sources 8.8B TwIL-8B hitting 93% of frontier coding performance — dr_cintas · 2026-11-05
- Open-source TTS: Phonon models under 50M params run on-device with 7ms latency — alex_verem · 2026-11-05