What are the hardware requirements for Bonsai 8B MLX 2.25bit?

Bonsai 8B MLX 2.25bit requires approximately 2.3 GB of VRAM and supports a context window of 64K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Bonsai 8B MLX 2.25bit and how large is it?

Bonsai 8B MLX 2.25bit is developed by inferencerlabs, a model with 8b 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 8B MLX 2.25bit?

Bonsai 8B MLX 2.25bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Bonsai 8B MLX 2.25bit by inferencerlabs — VRAM 2.3GB, 64K context

Name: Bonsai 8B MLX 2.25bit
Author: inferencerlabs

Bonsai 8B MLX 2.25bit is an open-source language model by inferencerlabs. Features: 8b LLM, VRAM: 2.3GB, Context: 64K, Quantized, LLM Explorer Score: 0.24.

1bit 2-bit Base model:prism-ml/bonsai-8b-... Base model:quantized:prism-ml/... Conversational En Mlx Quantized Qwen3 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/inferencerlabs/Bonsai-8B-MLX-2.25bit

Bonsai 8B MLX 2.25bit Parameters and Internals

LLM Name	Bonsai 8B MLX 2.25bit
Repository 🤗	https://huggingface.co/inferencerlabs/Bonsai-8B-MLX-2.25bit
Base Model(s)	Bonsai 8B Mlx 1bit prism-ml/Bonsai-8B-mlx-1bit
Model Size	8b
Required VRAM	2.3 GB
Updated	2026-06-18
Maintainer	inferencerlabs
Model Type	qwen3
Model Files	2.3 GB
Supported Languages	en
Quantization Type	1bit
Model Architecture	Qwen3ForCausalLM
Context Length	65536
Model Max Length	65536
Transformers Version	4.57.6
Padding Token	<\|endoftext\|>
Vocabulary Size	151669
Errors	replace

Rank the Bonsai 8B MLX 2.25bit 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 8B MLX 2.25bit

Best Alternatives	Context / RAM	Downloads	Likes
BehChat SFTv3 Ckpt1	128K / 16.4 GB	6	0
BehChat SFTv2 Mixed Ckpt 6	128K / 16.4 GB	11	0
...0528 Qwen3 8B Unsloth Bnb 4bit	128K / 7.5 GB	4457	13
DeepSeek R1 0528 Qwen3 8B 4bit	128K / 4.6 GB	1781	6
...Seek R1 0528 Qwen3 8B Bnb 4bit	128K / 6.1 GB	923	9
Qwen3 8B LQA 14e Full	128K / 16.4 GB	6	0
...Seek R1 0528 Qwen3 8B 4bit DWQ	128K / 4.6 GB	212	8
...0528 Qwen3 8B Unsloth Bnb 4bit	128K / 16.4 GB	7	0
Annie Lite V0.2.9 Qwen3 8B	80K / 16.4 GB	5	0
Bonsai 8B Mlx 1bit	64K / 1.3 GB	9396	221

Note: green Score (e.g. "73.2") means that the model is better than inferencerlabs/Bonsai-8B-MLX-2.25bit.