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Qwen2 7B Instruct 8bit by mlx-community

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Model Card on HF 🤗: https://huggingface.co/mlx-community/Qwen2-7B-Instruct-8bit 

Qwen2 7B Instruct 8bit Benchmarks

LLME Score: 0.19443
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 8bit (mlx-community/Qwen2-7B-Instruct-8bit)

Qwen2 7B Instruct 8bit Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model was converted to MLX format using mlx-lm version 0.14.0.
LLM NameQwen2 7B Instruct 8bit
Repository 🤗https://huggingface.co/mlx-community/Qwen2-7B-Instruct-8bit 
Base Model(s)  ...2 1 5B Function Call Tiny Lora   svjack/Qwen2-1_5B_Function_Call_tiny_lora
Model Size7b
Required VRAM8.1 GB
Updated2025-02-22
Maintainermlx-community
Model Typeqwen2
Instruction-BasedYes
Model Files  5.3 GB: 1-of-2   2.8 GB: 2-of-2
Supported Languagesen
Quantization Type8bit
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

Best Alternatives to Qwen2 7B Instruct 8bit

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Instruct 1M 4bit986K / 4.3 GB7306
...B Instruct 1M Unsloth Bnb 4bit986K / 7.5 GB3541
...5 7B Instruct Unsloth Bnb 4bit32K / 7.2 GB342211
Mini QwQ32K / 15.2 GB271
AetherSett32K / 15.2 GB261
Qwen2.5 7B Instruct Bnb 4bit32K / 5.5 GB67479511
SphinX32K / 15.2 GB321
ReasonTest32K / 15.2 GB110
Kyro N1 7B32K / 15.2 GB1875
UIGEN 7B 16bit32K / 15.2 GB795
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Qwen2-7B-Instruct-8bit.

Rank the Qwen2 7B Instruct 8bit 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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Release v20241227
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