What are the hardware requirements for Meet7 0.6B?

Meet7 0.6B requires approximately 1.2 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Meet7 0.6B and how large is it?

Meet7 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 Meet7 0.6B?

Meet7 0.6B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Meet7 0.6B by Ma7ee7 — VRAM 1.2GB, 40K context

Name: Meet7 0.6B
Author: Ma7ee7

Meet7 0.6B is an open-source language model by Ma7ee7. Features: 0.6b LLM, VRAM: 1.2GB, Context: 40K, License: apache-2.0, Quantized, LLM Explorer Score: 0.23.

4bit Base model:finetune:unsloth/qw... Base model:unsloth/qwen3-0.6b-... Conversational En Endpoints compatible Quantized Qwen3 Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/Ma7ee7/Meet7_0.6b

Meet7 0.6B Parameters and Internals

LLM Name	Meet7 0.6B
Repository 🤗	https://huggingface.co/Ma7ee7/Meet7_0.6b
Base Model(s)	unsloth/Qwen3-0.6B-unsloth-bnb-4bit unsloth/Qwen3-0.6B-unsloth-bnb-4bit
Model Size	0.6b
Required VRAM	1.2 GB
Updated	2026-08-08
Maintainer	Ma7ee7
Model Type	qwen3
Model Files	1.2 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Meet7 0.6B 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 Meet7 0.6B

Best Alternatives	Context / RAM	Downloads	Likes
Agent 0.6B	125K / 1.2 GB	14	0
Fizik 0.6B Preview	40K / 1.2 GB	9	0
Qwen3 0.6B Unsloth Bnb 4bit	40K / 0.6 GB	146920	25
Qwen3 0.6B 4bit	40K / 0.3 GB	50315	14
Qwentestnew1	40K / 1.2 GB	66	0
Qwen3 0.6B 8bit	40K / 0.6 GB	41318	7
Qwen3 0.6B SFTchat Math	40K / 1.2 GB	15	0
Qwen3 0.6B Bnb 4bit	40K / 0.5 GB	5786	4
Qwen3 0.6B MLX 8bit	40K / 0.6 GB	520	5
Qwen3 0.6B GRPO	40K / 1.2 GB	7	0

Note: green Score (e.g. "73.2") means that the model is better than Ma7ee7/Meet7_0.6b.