What are the hardware requirements for Bonsai 27B Mlx 1bit?

Bonsai 27B Mlx 1bit requires approximately 5.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Bonsai 27B Mlx 1bit and how large is it?

Bonsai 27B Mlx 1bit 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 Bonsai 27B Mlx 1bit?

Bonsai 27B Mlx 1bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Bonsai 27B Mlx 1bit by prism-ml — VRAM 5.1GB

Name: Bonsai 27B Mlx 1bit
Author: prism-ml

Bonsai 27B Mlx 1bit is an open-source language model by prism-ml. Features: 27b LLM, VRAM: 5.1GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.42.

1-bit 1bit Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.6-27b Bonsai Conversational Cuda Hybrid-attention Metal Mlx On-device Prismml Quantized Qwen3 5 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/prism-ml/Bonsai-27B-mlx-1bit

Bonsai 27B Mlx 1bit Parameters and Internals

LLM Name	Bonsai 27B Mlx 1bit
Repository 🤗	https://huggingface.co/prism-ml/Bonsai-27B-mlx-1bit
Base Model(s)	Qwen/Qwen3.6-27B Qwen/Qwen3.6-27B
Model Size	27b
Required VRAM	5.1 GB
Updated	2026-08-09
Maintainer	prism-ml
Model Type	qwen3_5
Model Files	5.1 GB
Quantization Type	1bit
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.1
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Bonsai 27B Mlx 1bit capabilities

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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

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Qwen3.6 27B OptiQ 4bit	256K / 18.7 GB	13065	59
Ternary Bonsai 27B Mlx 2bit	0K / 8.5 GB	809024	168
Qwen3.8 27B MLX 5bit	0K / 19.5 GB	4675044	2
...onsai 2 27B CRACK Ternary JANG	0K / 8.1 GB	2689	13
Qwen3.6 27B MLX 8bit	0K / 29.4 GB	879145	14
Qwen3.6 27B MLX 6bit	0K / 22.7 GB	812977	2
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Qwen3.6 27B MLX 4bit	0K / 16 GB	846861	16
Ternary Bonsai 2 27B Vllm	0K / 10.3 GB	2048	4
...onsai 2 27B CRACK 1.75bit JANG	0K / 6.4 GB	1457	3