What are the hardware requirements for Bonsai 4B Unpacked?

Bonsai 4B Unpacked requires approximately 8.1 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 Bonsai 4B Unpacked and how large is it?

Bonsai 4B Unpacked is developed by prism-ml, a model with 4b 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 Bonsai 4B Unpacked?

Bonsai 4B Unpacked is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Bonsai 4B Unpacked by prism-ml — VRAM 8.1GB, 32K context

Name: Bonsai 4B Unpacked
Author: prism-ml

Bonsai 4B Unpacked is an open-source language model by prism-ml. Features: 4b LLM, VRAM: 8.1GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.25.

Bonsai Prismml Qwen3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/prism-ml/Bonsai-4B-unpacked

Bonsai 4B Unpacked Parameters and Internals

LLM Name	Bonsai 4B Unpacked
Repository 🤗	https://huggingface.co/prism-ml/Bonsai-4B-unpacked
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-06-09
Maintainer	prism-ml
Model Type	qwen3
Model Files	5.0 GB: 1-of-2 3.1 GB: 2-of-2
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 Bonsai 4B 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

Quantized Models of the Bonsai 4B Unpacked

Model	Likes	Downloads	VRAM
Bonsai 4B Mlx 1bit	28	1438	0 GB

Best Alternatives to Bonsai 4B Unpacked

Best Alternatives	Context / RAM	Downloads	Likes
GRPO 4 70	256K / 8.1 GB	11	0
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
Lightning 4B	256K / 8.1 GB	13	6
Fable Traces	256K / 8.1 GB	334	210
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Qwen3 4B Thinking 2507	256K / 8.1 GB	291023	606
Qwen3 4B Sft Prm	256K / 17.6 GB	602	0
...fetensors.chatgpt GPT Codex V2	256K / 8.1 GB	666	2
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78

Note: green Score (e.g. "73.2") means that the model is better than prism-ml/Bonsai-4B-unpacked.