YOU ARE VIEWING ONE ITEM FROM THE AICRIER FEED

1-bit Bonsai 4B breaks stock llama.cpp

AICrier tracks AI developer news across Product Hunt, GitHub, Hacker News, YouTube, X, arXiv, and more. This page keeps the article you opened front and center while giving you a path into the live feed.

// WHAT AICRIER DOES

7+

TRACKED FEEDS

24/7

SCRAPED FEED

Short summaries, external links, screenshots, relevance scoring, tags, and featured picks for AI builders.

1-bit Bonsai 4B breaks stock llama.cpp
OPEN LINK ↗
// 58d agoMODEL RELEASE

1-bit Bonsai 4B breaks stock llama.cpp

PrismML's 1-bit Bonsai 4B GGUF model won't load in stock llama.cpp because it uses a custom ggml tensor type that the official Windows binary doesn't support. The fix isn't a fresh CMake rebuild so much as using PrismML's llama.cpp fork with the 1-bit kernel support noted in the model card.

// ANALYSIS

The interesting part here is less the model itself than the packaging reality: a 1-bit GGUF can still be unusable on mainstream runtimes until the backend learns the new tensor type.

  • PrismML is pitching Bonsai as a low-footprint edge model, with public claims around sub-1GB memory use and Apache 2.0 availability
  • The error message points to a format/runtime mismatch, not a broken download or Windows-specific build issue
  • Users trying bleeding-edge quantization formats should expect to follow the model vendor's runtime fork, at least until upstream support lands
  • This is a good reminder that “GGUF” does not automatically mean “runs everywhere in llama.cpp” when custom kernels or novel tensor types are involved
// TAGS
llmopen-weightsinferenceself-hosted1-bit-bonsai-4bllama-cpp

DISCOVERED

58d ago

2026-04-01

PUBLISHED

58d ago

2026-04-01

RELEVANCE

8/ 10

AUTHOR

Weekly_Inflation7571