Qwen2 7B Instruct 4bit by mlx-community

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Qwen2 7B Instruct 4bit Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Qwen2 7B Instruct 4bit Parameters and Internals

Model Type
chat, text-generation
Use Cases
Areas:
chat, text-generation
Supported Languages
en (high)
LLM NameQwen2 7B Instruct 4bit
Repository ๐Ÿค—https://huggingface.co/mlx-community/Qwen2-7B-Instruct-4bit 
Base Model(s)  Qwen2 7B Instruct Nf4   fubuki9/Qwen2-7B-Instruct-nf4
Model Size7b
Required VRAM4.3 GB
Updated2024-11-09
Maintainermlx-community
Model Typeqwen2
Instruction-BasedYes
Model Files  4.3 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace
Qwen2 7B Instruct 4bit (mlx-community/Qwen2-7B-Instruct-4bit)

Best Alternatives to Qwen2 7B Instruct 4bit

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Context / RAM
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Qwen2.5 7B Instruct Bnb 4bit32K / 5.5 GB508735
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...2.5 Coder 7B Instruct Bnb 4bit32K / 5.5 GB24384
...Qwen 2.5 7B Instruct V0.2410.032K / 15.2 GB11700
....5 7B DPO Split1 16bit Chunk1232K / 15.2 GB2300
Krx Qwen2 7B Instruct V2 M32K / 15.2 GB370
Qwen2 7B Instruct Bnb 4bit32K / 5.5 GB73894
Qwen2.5 7B Instruct32K / 15.2 GB240
Qwen2.5 7B Instruct 8bit32K / 8.1 GB1232
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Qwen2-7B-Instruct-4bit.

Rank the Qwen2 7B Instruct 4bit 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110