Free users: Qoder CN currently gives you Qwen3.8-Flash for free.
More importantly, Qoder CN says source code isn’t stored or used for training, while Qoder Global does codebase embedding and may retain de-identified user data for service improvement
Use https://t.co/ah2jvQNGJ2 👀
Check out Muse, your personal AI agent. Redeem my code in Settings within 48 hours of joining and we'll both get 1 billion Muse tokens.
Code: 8FESBJ
https://t.co/Q8KKsofHuV
PrismML team fit a 27B model into 5.9 GB.
We uncensored it without changing a single weight. 🐳
Introducing OrcaRouter Ternary Bonsai 2 27B Uncensored.
Traditional abliteration modifies weights. On a ~1.72-bit ternary model, that means re-quantization — potentially destroying the quality preserved by QAT.
So we moved abliteration into the runtime.
→ 0 weights modified
→ 0 re-quantization
→ original 5.9 GB pack stays bit-identical
→ 129 residual intervention sites
→ adjustable at inference
→ runs locally on Apple Silicon
No modified checkpoint. Bring the original Bonsai pack + our runtime.
Open source: https://t.co/SyTSd7e66W
This is wild 🤯
Ternary-Bonsai-2-27B-PTQ1_0
→ Only 5.9 GB RAM
→ 98.2% of Qwen3.8-27B performance
→ Runs locally
And yes — there’s an uncensored version too. 👀
Check the comments.
Today, we’re announcing Ternary Bonsai 2 27B.
Based on Qwen3.8 27B, Bonsai 2 27B is 9x smaller than its full-precision counterpart while retaining 98.2% of its aggregate benchmark performance.
Two months after the first Bonsai 27B release, the biggest change is quality. The footprint remains 5.9 GB, but the gap to full precision has narrowed materially, with particularly strong gains in agentic coding, multimodal reasoning, and long-horizon tool use.
Ternary Bonsai 2 27B is available today under Apache 2.0.
Hermes Agent now has a Plugin Catalog: starting with 4 official plugins and 96 from the community, covering desktop mods, new platforms, browsing, specialized tools, and more.
Our team reviews every community plugin, and we will add new ones regularly.
https://t.co/sNGEQVvUlc