What are the hardware requirements for Ternary Bonsai 1.7B Unpacked?

Ternary Bonsai 1.7B Unpacked requires approximately 3.4 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Ternary Bonsai 1.7B Unpacked and how large is it?

Ternary Bonsai 1.7B Unpacked is developed by prism-ml, a model with 1.7b 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 1.7B Unpacked?

Ternary Bonsai 1.7B Unpacked is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ternary Bonsai 1.7B Unpacked by prism-ml — VRAM 3.4GB, 32K context

Name: Ternary Bonsai 1.7B Unpacked
Author: prism-ml

Ternary Bonsai 1.7B Unpacked is an open-source language model by prism-ml. Features: 1.7b LLM, VRAM: 3.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.27.

Bonsai Prismml Qwen3 Region:us Safetensors Ternary

Model Card on HF 🤗: https://huggingface.co/prism-ml/Ternary-Bonsai-1.7B-unpacked

Ternary Bonsai 1.7B Unpacked Parameters and Internals

LLM Name	Ternary Bonsai 1.7B Unpacked
Repository 🤗	https://huggingface.co/prism-ml/Ternary-Bonsai-1.7B-unpacked
Model Size	1.7b
Required VRAM	3.4 GB
Updated	2026-07-29
Maintainer	prism-ml
Model Type	qwen3
Model Files	3.4 GB
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.57.6
Padding Token	<\|endoftext\|>
Vocabulary Size	151669
Errors	replace

Rank the Ternary Bonsai 1.7B 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 1.7B Unpacked

Best Alternatives	Context / RAM	Downloads	Likes
Lucy 128K	128K / 3.4 GB	123	112
Polaris 1.7B Preview	128K / 3.4 GB	73	8
DictaLM 3.0 1.7B Instruct	60K / 3.4 GB	2842	1
Qwen3 1.7B	40K / 4 GB	5633291	500
Stormdesk Triage	40K / 3.4 GB	461	1
CORe Pico 4	40K / 3.4 GB	895	2
Finnai Slm V4	40K / 3.4 GB	226	0
CORe Pico V3	40K / 3.4 GB	720	0
ALoDLM 1.7B	40K / 4.1 GB	77	6
...en3 1.7B Teacher Note Severity	40K / 3.4 GB	386	0

Note: green Score (e.g. "73.2") means that the model is better than prism-ml/Ternary-Bonsai-1.7B-unpacked.