LOADING DATASHEET
LOADING DATASHEET
by Prism Ml
RANKED #19 OF 318 ASSISTANTS · OVERALL #24 OF 494 RANKED · VIBE SCORE 6.8 · 12,661 VOICES ·
COPY BADGE pastes a README snippet with the rank SVG.
A fast, open-weights text model designed to assist with coding and daily tasks.
81 mentions
57 mentions
26 weeks · 12,672 voices in this window
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Open weights. You can use a hosted service, or download it and run it yourself, free.
Open weights: download Ternary Bonsai 2 27B once and it's yours. No subscription, no rate limits, works offline.
27B parameters, a PTQ1_0 ternary GGUF is about 5.95 GB (or 8.6 GB for MLX with vision)
NVIDIA GeForce RTX 3060 12GB
12 GB VRAM
~$220 USEDPTQ1_0 1.75-bit pack, ~34 tok/s, 8k context
NVIDIA GeForce RTX 4070 Ti Super 16GB
16 GB VRAM
~$750 NEWPQ2_0 2.13-bit pack, ~55 tok/s, 64k context
Apple MacBook Pro M3 Max 64GB
64 GB UNIFIED RAM
~$2,800 USEDMLX 2-bit pack with full vision tower, ~47 tok/s, 262k context
The three cards above are researched picks. Search the machine you actually have — we only say yes if it should reply at a usable speed, not just load the weights and crawl.
HARDWARE PICKS & PRICES ARE RESEARCHED FROM THE LIVE WEB AND REFRESHED AUTOMATICALLY. TREAT THEM AS BALLPARK, NOT GOSPEL.
Everyday jobs on each of those rigs: how long Ternary Bonsai 2 27B takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMNVIDIA GeForce RTX 3060 12GB | SWEET SPOTNVIDIA GeForce RTX 4070 Ti Super 16GB | FULL POWERApple MacBook Pro M3 Max 64GB |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~15 S★★★★★ | ~9 S★★★★★ | ~11 S★★★★★ |
| Summarize a documenta long report boiled down to the points that matter | ~44 S★★★★★ | ~27 S★★★★★ | ~32 S★★★★★ |
| Build a websitea small landing page, markup and styles together | ~3.9 MIN★★★★★ | ~2.4 MIN★★★★★ | ~2.8 MIN★★★★★ |
| Build a backendan API with routes, storage and tests | ~12 MIN★★★★★ | ~7.6 MIN★★★★★ | ~8.9 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~7.4 MIN★★★★★ | ~4.5 MIN★★★★★ | ~5.3 MIN★★★★★ |
STARS ARE THE COMMUNITY SCORE FOR THAT KIND OF WORK, DOCKED FOR HOW SQUASHED THE WEIGHTS GET AT EACH TIER. TIMES ARE COMPUTED FROM RESEARCHED SPEEDS. BALLPARK, NOT GOSPEL.
Users love Ternary Bonsai 2 27B for its quick responses and helpful coding support. However, many complain about frequent errors, made-up facts, and an annoying tendency to lecture or refuse requests.
8445 POSTS · 4216 COMMENTS · GITHUB · REDDIT · HACKER NEWS · BLUESKY · LEMMY · DEV.TO · BLOG
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Checked picks first: tags say why you would switch, stars say how fully each one stands in for Ternary Bonsai 2 27B.
Bonsai 2 27b! 🌳 prismml.com/news/bonsai-... x.com/PrismML/stat... 5.9gb compressed version of Qwen 3.8 27b while retai
if you see this, it’s because you’re a real fan. AI News for 9/16/2026-9/17/2026. We checked 12 subreddits, 544 Twitters and no further Discords. AINews’ website lets you search all past issues. As a reminder, AINews is now a section of Latent Space . You can…
My comment on Bonsai 2 27B: Near-Lossless Compression in a 9x Smaller Footprint — Hacker News. If you want to try out out the GGUFs from be aware that you need Prism's llama.cpp fork to get them to work, from
The geopolitics of open-weight AI are accelerating again this fall, as we would expect with the risks of all AI systems (open and closed) rising rapidly. We’ve seen many news items in the last week showing both the U.S. and Chinese governments positioning…
PrismML's Ternary Bonsai 2 27B Based on Qwen3.8 27B, Bonsai 2 27B is 9x smaller than its full-precision counterpart whi
Opus 5.2 has to be AGI it just coded an entire 5 minute movie about titanic and showed how everything happened
Which LLM should I use with an 8 GB Nvidia RTX 4060?
ICLR SUBMISSION 47647 how that possible? [D]
US chip fabs face massive 157,000 worker shortfall, mere 3% of US engineering grads enter chipmaking — despite six-figure salaries, US chip manufacturers are in dire need of engineers and technicians
US military had close call after using AI for false intelligence report, sources say
Bonsai 2 27B on an 8GB M2 Mac mini: 7.6 tok/s, every layer on GPU, no swap. The four flags that make it fit, and the one that kernel-panicked the machine
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