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Meet7 0.6B by Ma7ee7

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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: 0.25.

  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 Benchmarks

LLME Score: 0.247
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Meet7 0.6B (Ma7ee7/Meet7_0.6b)
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Meet7 0.6B Parameters and Internals

LLM NameMeet7 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 Size0.6b
Required VRAM1.2 GB
Updated2026-05-03
MaintainerMa7ee7
Model Typeqwen3
Model Files  1.2 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Meet7 0.6B

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Context / RAM
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Agent 0.6B125K / 1.2 GB2640
Fizik 0.6B Preview40K / 1.2 GB90
Qwen3 0.6B Unsloth Bnb 4bit40K / 0.6 GB16018224
Qwen3 0.6B 4bit40K / 0.3 GB1496912
Qwen3 0.6B 8bit40K / 0.6 GB113357
Qwen3 0.6B MLX 8bit40K / 0.6 GB10395
Qwen3 0.6B GRPO40K / 1.2 GB60
... Model Era Lora 128 Qwen3 0.6B40K / 1.2 GB70
Qwen3 0.6B MLX 6bit40K / 0.5 GB893
Qwe3 0.6B Acot40K / 1.2 GB180
Note: green Score (e.g. "73.2") means that the model is better than Ma7ee7/Meet7_0.6b.

Rank the Meet7 0.6B 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  

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