Bonsai 27B AWQ 4bit
Bonsai 27B AWQ 4bit is a 4-bit AWQ quantized release of Prism ML's Bonsai 27B, a 27 billion parameter multimodal model that accepts image and text input. It supports multi-step reasoning, tool calling, and agentic workflows, and is built for efficient deployment on inference engines like vLLM and SGLang.
- Type
- Multimodal
- Weights
- Open
- Downloads
- 504
- Likes
- 10
- Pipeline
- image text to text
- License
- apache-2.0
Model hub
prism-ml/Bonsai-27B-AWQ-4bit
- Repo
- prism-ml/Bonsai-27B-AWQ-4bit
- Library
- transformers
- Access
- Public
Technical tags and languages
More from PrismML
9
-
16 DL
1 Bit Bonsai 1.7B Text
1-bit Bonsai 1.7B is PrismML’s smallest Bonsai model, built for extremely fast on-device inference. With a me…
-
1 Bit Bonsai 4B Text
1-bit Bonsai 4B is PrismML’s mid-size ultra-efficient model designed for fast local inference. It uses just 0…
-
1 Bit Bonsai 8B Text
1-bit Bonsai 8B is PrismML’s flagship ultra-efficient language model, built with 1-bit weights for edge and r…
-
1-bit Bonsai Image 4B Image
1-bit Bonsai Image 4B is PrismML’s open-weight compressed image-generation model built for local diffusion in…
-
1.1M DL
Bonsai 27B Text
Bonsai 27B is a 27.8B-parameter multimodal language model built on Qwen3.6 27B, quantized end-to-end to 1-bit…
-
1M DL
Bonsai 27B mlx 1bit Multimodal
1-bit quantized version of the 27B-parameter Qwen3.6-27B language model, using binary g128 weight representat…
-
1.2k DL
Ternary Bonsai 27B Multimodal
A 27B parameter language model compressed to ternary (1.71 bit) weights, retaining 95% of full precision inte…
-
4k DL
Ternary Bonsai 27B AWQ 4bit Multimodal
Ternary Bonsai 27B AWQ 4bit is a 4 bit AWQ quantized build of PrismML's Ternary Bonsai 27B, a multimodal mode…
About PrismML
1