What are the hardware requirements for Bonsai 4B Mlx 1bit?

Bonsai 4B Mlx 1bit requires approximately 0.6 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 Mlx 1bit and how large is it?

Bonsai 4B Mlx 1bit 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 Mlx 1bit?

Bonsai 4B Mlx 1bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Bonsai 4B Mlx 1bit by prism-ml — VRAM 0.6GB, 32K context

Name: Bonsai 4B Mlx 1bit
Rating: 4 (1 reviews)
Author: prism-ml

Bonsai 4B Mlx 1bit is an open-source language model by prism-ml. Features: 4b LLM, VRAM: 0.6GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.27.

1-bit 1bit Apple-silicon Base model:finetune:prism-ml/b... Base model:prism-ml/bonsai-4b-... Bonsai Conversational Mlx On-device Prismml Quantized Qwen3 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/prism-ml/Bonsai-4B-mlx-1bit

Bonsai 4B Mlx 1bit Parameters and Internals

LLM Name	Bonsai 4B Mlx 1bit
Repository 🤗	https://huggingface.co/prism-ml/Bonsai-4B-mlx-1bit
Base Model(s)	Bonsai 4B Unpacked prism-ml/Bonsai-4B-unpacked
Model Size	4b
Required VRAM	0.6 GB
Updated	2026-08-08
Maintainer	prism-ml
Model Type	qwen3
Model Files	0.6 GB
Quantization Type	1bit
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 Mlx 1bit 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 Bonsai 4B Mlx 1bit

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 4b Merged Txt	256K / 8.1 GB	535	0
...Instruct 2507 Unsloth Bnb 4bit	256K / 3.5 GB	110066	17
Mini Coder 4B OptiQ 4bit	256K / 3 GB	310	1
Qwen3.8 4B Distilled	256K / 8.1 GB	90	0
...wen3 4B Thinking 2507 MLX 4bit	256K / 2.3 GB	53225	14
FastContext 1.0 4B SFT 8bit	256K / 4.3 GB	120	1
...wen3 4B Thinking 2507 MLX 8bit	256K / 4.3 GB	44731	8
Qwen3 4B Instruct 2507 4bit	256K / 2.3 GB	40955	11
...wen 3 4b Mythos Finetune 16bit	256K / 8.1 GB	92	0
EduMentor Qwen3 4B FP16	256K / 8.1 GB	75	1

Note: green Score (e.g. "73.2") means that the model is better than prism-ml/Bonsai-4B-mlx-1bit.