What are the hardware requirements for TokForge Bonsai 2 9B MNN?

TokForge Bonsai 2 9B MNN requires approximately 2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed TokForge Bonsai 2 9B MNN and how large is it?

TokForge Bonsai 2 9B MNN is developed by darkmaniac7, a model with 9b 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 TokForge Bonsai 2 9B MNN?

TokForge Bonsai 2 9B MNN is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

TokForge Bonsai 2 9B MNN by darkmaniac7 — VRAM 2GB

Name: TokForge Bonsai 2 9B MNN
Author: darkmaniac7

TokForge Bonsai 2 9B MNN is an open-source language model by darkmaniac7. Features: 9b LLM, VRAM: 2GB, License: apache-2.0.

Base model:quantized:qwen/qwen... Base model:qwen/qwen3.5-9b Bonsai Mnn Mobile On-device Qwen3.5 Region:us Ternary Text-only Tokforge

Model Card on HF 🤗: https://huggingface.co/darkmaniac7/TokForge-Bonsai-2-9B-MNN

TokForge Bonsai 2 9B MNN Parameters and Internals

LLM Name	TokForge Bonsai 2 9B MNN
Repository 🤗	https://huggingface.co/darkmaniac7/TokForge-Bonsai-2-9B-MNN
Base Model(s)	prism-ml/Ternary-Bonsai-2-9B-gguf Qwen/Qwen3.5-9B prism-ml/Ternary-Bonsai-2-9B-gguf Qwen/Qwen3.5-9B
Model Size	9b
Required VRAM	2 GB
Updated	2026-10-27
Maintainer	darkmaniac7
Model Files	2.0 GB
License	apache-2.0

Rank the TokForge Bonsai 2 9B MNN 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