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Bonsai 2 — AI News Today

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Ternary Bonsai 2 27B — PrismML's ternary-weight compression of Qwen3.8 27B, released September 2026 under Apache 2.0. The model file is 5.93 GB against 53.80 GB in FP16 while retaining 98.2% of the parent model's score, small enough to run locally in a browser or on smart glasses.

24 stories about Bonsai 2

3 from search

About Bonsai 2

Bonsai 2 is a large language model by PrismML. Ternary Bonsai 2 27B — PrismML's ternary-weight compression of Qwen3.8 27B, released September 2026 under Apache 2.0. The model file is 5.93 GB against 53.80 GB in FP16 while retaining 98.2% of the parent model's score, small enough to run locally in a browser or on smart glasses. This page tracks 24 recent news stories about Bonsai 2, curated from 30+ sources and updated every 15 minutes.

Bonsai 2 — Coverage Momentum

1
This month
↓95%
vs last month
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All-time
Sep 2026
Peak month
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19
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MayJunJulAugSepOct

First tracked Sep 2026. Most-citing sources: r/LocalLLaMA (7), Medium (6), Data Science in Your Pocket (1), All My Circuits (1). Data aggregated by Best AI News Today from 30+ sources.

24 stories
1 of 3 Top Stories
How Does a 27B Model Fit in Just 6 GB?
Media

How Does a 27B Model Fit in Just 6 GB?

by AR Singh — Bonsai 2 pulls off a trick that sounds impossible until you look at what happens to the model under the hood.

Level Up Coding faviconLevel Up Coding·
Bonsai 2 fits a 27B model in 5.9GB. The average hides where it lost
Media

Bonsai 2 fits a 27B model in 5.9GB. The average hides where it lost

by Yashraj Behera — The compressed model keeps 98.2% of the original’s benchmark average at a ninth of the size.

Generative AI faviconGenerative AI·
Gemma 4 vs Qwen3 vs BONSAI2 - Comparing Local AI for Mac with Long-Form Tests
Media

Gemma 4 vs Qwen3 vs BONSAI2 - Comparing Local AI for Mac with Long-Form Tests

I had three models around 27B read entire long-form texts.The new Mac mini and Mac Studio have been released. If you are using a Mac to summarize text with a local LLM, which model is currently the...

note faviconnote·
Ternary Bonsai 2 Packs a 27B Model Into 8GB and Claims 98.2%. I Gave It Five Real Jobs.
Media

Ternary Bonsai 2 Packs a 27B Model Into 8GB and Claims 98.2%. I Gave It Five Real Jobs.

by Prabhudev Guntur — Ternary Bonsai 2, tested on actual work instead of benchmarks. Four of the five jobs came out indistinguishable from the original. The…

Medium faviconMedium·
Discussions

Prism-ML Bonsai 2 Joins Our Qwen3.8 Quantization Comparison

Hey r/LocalLLaMA, Prism-LM recently released its Bonsai 2 QAT models based on Qwen3.8, and they quickly gained traction. In our evaluation, the models strike a strong balance between throughput and...

r/LocalLLaMA faviconr/LocalLLaMA·
RelatedQwen 3.8
Discussions

bonsai's document reveal how much cherry picked their headlines are

bonsai claim 98.2% intelligent retained, but their own documents show Ternary Bonsai 2 27B reaches 52.8 and 60.8, respectively, compared with 69.7 and 80.6 for Qwen3.5-27B, retaining roughly three...

r/LocalLLaMA faviconr/LocalLLaMA·
I Tested Bonsai 2 AI: Can a Tiny 6GB Model Really Match a 27B Parameter AI?
Media

I Tested Bonsai 2 AI: Can a Tiny 6GB Model Really Match a 27B Parameter AI?

by CSE — Can a lightweight AI model running on your laptop really compete with larger models? Exploring the technology, testing, and lessons behind…

Medium faviconMedium·
What is the Bonsai 2 MLX Challenge? Why Coding Agents Made It 6x Faster on a Mac in Three Days
Media

What is the Bonsai 2 MLX Challenge? Why Coding Agents Made It 6x Faster on a Mac in Three Days

by Levent Bulusan — Twenty-one people and their coding agents pushed a 27B Mac engine up the public leaderboard in three days. Here’s what changed.

Medium faviconMedium·
Discussions

UkisAI Swift Series / 27B, Flash Next and Bonsai 2 + GSQ-RCO / -63.4% thinking, x1.95 speed with xhigh accuracy

Hey everyone, Jovan from UkisAI here! Today, we are introducing Swift, a family of efficient reasoning LLMs based on Qwen, trained by penalizing tokens related to pathological overthinking patterns...

r/LocalLLaMA faviconr/LocalLLaMA·
Media

Run Prism ML’s Bonsai 2 on a 16GB Mac mini: Alibaba’s 27B Qwen 3.8 in 8.6 GB, Fully Offline

Bonsai 2 squeezes Alibaba’s 27-billion-parameter Qwen3.8, Continue reading on Mac O’Clock »

Medium · Manjunath Janardhan faviconMedium · Manjunath Janardhan·
PrismML Shrunk a 27B Open Model to 5.9 GB and Kept 98% of the Benchmarks
Media

PrismML Shrunk a 27B Open Model to 5.9 GB and Kept 98% of the Benchmarks

by Aaron Harme — Bonsai 2 compresses Alibaba’s Qwen3.8 with ternary weights so the model can fit on a PC and, maybe, a high-end phone

All My Circuits faviconAll My Circuits·
Bonsai 2 27B, which 'shrinks to 1/9th size with 98.2% performance', was at 75% for only the two agent-related benchmarks. I will count what the 14-benchmark average was ...
Media

Bonsai 2 27B, which 'shrinks to 1/9th size with 98.2% performance', was at 75% for only the two agent-related benchmarks. I will count what the 14-benchmark average was ...

Qwen3.8 27B has been shrunk to 5.9GB while maintaining 98.2% of its performance. Ternary Bonsai 2 27B is making waves with that headline. If a 27B-class model can run almost unscathed on a 16GB Mac,...

note faviconnote·
RelatedQwen 3.8
Bonsai 2 Is Here: The 5.9 GB 27B Model Now Keeps 98% of Its Parent’s Score
Media

Bonsai 2 Is Here: The 5.9 GB 27B Model Now Keeps 98% of Its Parent’s Score

by Kristopher Dunham — Two months after the first Bonsai 27B, PrismML’s sequel closes most of the quality gap, changes which tools can run it, and makes the old…

Medium faviconMedium·
RelatedPrismML
Media

I Measured Prism ML’s Bonsai 2 Against My Own Builds of Alibaba’s Qwen3.8–27B.

36 tokens per second in about 10 GB on an M4 Max, the same test scores as a 4-bit build twice its size, and five traps that nearly skewed… Continue reading on Data Science Collective »

Medium · Manjunath Janardhan faviconMedium · Manjunath Janardhan·
Bonsai 2 Made Qwen 3.8, 9x Smaller. Now I’m Rethinking My AI Setup
Media

Bonsai 2 Made Qwen 3.8, 9x Smaller. Now I’m Rethinking My AI Setup

by Sumit Pandey — Bonsai 2 promises most of the capability of the model already writing my daily AI digest, with a fraction of the baggage, so naturally I…

Towards Deep Learning faviconTowards Deep Learning·
Bonsai 2 27B: How a 27B AI Model Fits Into a 5.9 GB Footprint ⚡
Media

Bonsai 2 27B: How a 27B AI Model Fits Into a 5.9 GB Footprint ⚡

by Greek Ai — PrismML compressed Qwen3.8 27B into a ternary model that retains 98.2% of the parent model’s benchmark score

CodeToDeploy faviconCodeToDeploy·
Ternary Bonsai 2: A 27B AI Model That Fits in Just 6 GB
Media

Ternary Bonsai 2: A 27B AI Model That Fits in Just 6 GB

by Mehul Gupta — How to use Ternary Bonsai 2 for free?

Data Science in Your Pocket faviconData Science in Your Pocket·
What is Bonsai 2? Why a 27B Model Now Fits on the Laptop You Already Own
Media

What is Bonsai 2? Why a 27B Model Now Fits on the Laptop You Already Own

by Levent Bulusan — PrismML crushed Qwen3.8 27B from 53.8 GB down to 5.9 GB and kept 98.2% of it. Here’s what that actually feels like, and where it quietly…

Medium faviconMedium·

Frequently Asked Questions

What is Bonsai 2?

Bonsai 2 is Ternary Bonsai 2 27B — PrismML's ternary-weight compression of Qwen3.8 27B, released September 2026 under Apache 2.0. The model file is 5.93 GB against 53.80 GB in FP16 while retaining 98.2% of the parent model's score, small enough to run locally in a browser or on smart glasses.

What is the latest news about Bonsai 2?

As of today, there are 24 recent stories about Bonsai 2. Recent headlines include: LFM2.5-24B-A2B vs Ternary Bonsai 2 27B: 1.76-Bit Vision; How Does a 27B Model Fit in Just 6 GB?; I Tested Bonsai 2 AI: Can a Tiny 6GB Model Really Match a 27B Parameter AI?. Updated every 15 minutes.

What other LLM AI models are there?

Bonsai 2 is part of the LLM model category. Browse all comparable AI llm models with live news mentions and benchmarks.