What are the hardware requirements for Meet8 0.6B?

Meet8 0.6B requires approximately 1.2 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 Meet8 0.6B and how large is it?

Meet8 0.6B is developed by Ma7ee7, a model with 0.6b 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 Meet8 0.6B?

Meet8 0.6B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Meet8 0.6B by Ma7ee7 — VRAM 1.2GB, 32K context

Name: Meet8 0.6B
Author: Ma7ee7

Meet8 0.6B is an open-source language model by Ma7ee7. Features: 0.6b LLM, VRAM: 1.2GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.31.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-0.6b-bas... Conversational Dataset:allenai/ai2 arc Dataset:ba2han/short thinking-... Dataset:huggingfaceh4/no robot... Dataset:kaist-ai/cot-collectio... Dataset:ma7ee7/instruct-data-7... Dataset:mrfakename/identity Dataset:openai/gsm8k Endpoints compatible Experimental Grpo Instruct Qwen3 Region:us Safetensors Sft

Model Card on HF 🤗: https://huggingface.co/Ma7ee7/Meet8-0.6B

Meet8 0.6B Parameters and Internals

LLM Name	Meet8 0.6B
Repository 🤗	https://huggingface.co/Ma7ee7/Meet8-0.6B
Base Model(s)	Qwen/Qwen3-0.6B-Base Qwen/Qwen3-0.6B-Base
Model Size	0.6b
Required VRAM	1.2 GB
Updated	2026-10-04
Maintainer	Ma7ee7
Model Type	qwen3
Instruction-Based	Yes
Model Files	1.2 GB
Model Architecture	Qwen3ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.56.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

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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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