What are the hardware requirements for Ternary Bonsai 27B Unpacked?

Ternary Bonsai 27B Unpacked requires approximately 54.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Ternary Bonsai 27B Unpacked and how large is it?

Ternary Bonsai 27B Unpacked is developed by prism-ml, a model with 27b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Ternary Bonsai 27B Unpacked?

Ternary Bonsai 27B Unpacked is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ternary Bonsai 27B Unpacked by prism-ml — VRAM 54.6GB

Name: Ternary Bonsai 27B Unpacked
Author: prism-ml

Ternary Bonsai 27B Unpacked is an open-source language model by prism-ml. Features: 27b LLM, VRAM: 54.6GB, License: apache-2.0, LLM Explorer Score: 0.32.

Bonsai Conversational Prismml Qwen3 5 Region:us Safetensors Sharded Tensorflow Ternary

Model Card on HF 🤗: https://huggingface.co/prism-ml/Ternary-Bonsai-27B-unpacked

Ternary Bonsai 27B Unpacked Parameters and Internals

LLM Name	Ternary Bonsai 27B Unpacked
Repository 🤗	https://huggingface.co/prism-ml/Ternary-Bonsai-27B-unpacked
Model Size	27b
Required VRAM	54.6 GB
Updated	2026-08-06
Maintainer	prism-ml
Model Type	qwen3_5
Model Files	2.5 GB: 1-of-12 4.8 GB: 2-of-12 5.0 GB: 3-of-12 4.9 GB: 4-of-12 5.0 GB: 5-of-12 4.9 GB: 6-of-12 5.0 GB: 7-of-12 4.9 GB: 8-of-12 5.0 GB: 9-of-12 4.9 GB: 10-of-12 4.9 GB: 11-of-12 2.8 GB: 12-of-12
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Ternary Bonsai 27B Unpacked capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Ternary Bonsai 27B Unpacked

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 27B FP8	0K / 0.4 GB	123157	416
Qwen3.8 27B	0K / 55.6 GB	2	8753
Qwen3.6 27B	0K / 55.4 GB	6728138	2197
Qwen3.6 27B NVFP4	0K / 22 GB	1887525	419
...n3.8 27B MTPLX Optimized Speed	0K / 19.6 GB	6989	50
ThinkingCap Qwen3.6 27B	0K / 54.7 GB	35947	614
Qwen3.6 27B FP8	0K / 0.4 GB	7740472	342
Qwen3.5 27B	0K / 55.2 GB	2536294	1028
Qwen3.5 27B	0K / 55.2 GB	8115	16
Qwen3.8 27B NVFP4	0K / 22 GB	30122	14

Note: green Score (e.g. "73.2") means that the model is better than prism-ml/Ternary-Bonsai-27B-unpacked.