What are the hardware requirements for ZOZ Function Master 3B LongContext?

ZOZ Function Master 3B LongContext requires approximately 6.2 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 ZOZ Function Master 3B LongContext and how large is it?

ZOZ Function Master 3B LongContext is developed by z51722369, a model with 3b 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 ZOZ Function Master 3B LongContext?

ZOZ Function Master 3B LongContext is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

ZOZ Function Master 3B LongContext by z51722369 — VRAM 6.2GB, 32K context

Name: ZOZ Function Master 3B LongContext
Author: z51722369

ZOZ Function Master 3B LongContext is an open-source language model by z51722369. Features: 3b LLM, VRAM: 6.2GB, Context: 32K, LLM Explorer Score: 0.3.

Arxiv:1910.09700 Conversational Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/z51722369/ZOZ-Function-Master-3B-LongContext

ZOZ Function Master 3B LongContext Parameters and Internals

LLM Name	ZOZ Function Master 3B LongContext
Repository 🤗	https://huggingface.co/z51722369/ZOZ-Function-Master-3B-LongContext
Model Size	3b
Required VRAM	6.2 GB
Updated	2026-09-19
Maintainer	z51722369
Model Type	qwen2
Model Files	4.0 GB: 1-of-2 2.2 GB: 2-of-2
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	5.0.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the ZOZ Function Master 3B LongContext 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

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Note: green Score (e.g. "73.2") means that the model is better than z51722369/ZOZ-Function-Master-3B-LongContext.