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Qwen2 7B Instruct by unsloth

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  Autotrain compatible   Conversational   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen2-7B-Instruct 

Qwen2 7B Instruct Benchmarks

LLME Score: 0.23223
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 (unsloth/Qwen2-7B-Instruct)

Qwen2 7B Instruct Parameters and Internals

Model Type 
transformers
Additional Notes 
The model can be fine-tuned using Google Colab with Tesla T4 for different versions like Qwen2 7b, Qwen2 0.5b, and Qwen2 1.5b. This finetuning can be done faster and with less memory usage using Unsloth.
LLM NameQwen2 7B Instruct
Repository 🤗https://huggingface.co/unsloth/Qwen2-7B-Instruct 
Model Size7b
Required VRAM15.4 GB
Updated2025-02-15
Maintainerunsloth
Model Typeqwen2
Instruction-BasedYes
Model Files  4.0 GB: 1-of-4   3.9 GB: 2-of-4   3.9 GB: 3-of-4   3.6 GB: 4-of-4
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Quantized Models of the Qwen2 7B Instruct

Model
Likes
Downloads
VRAM
Qwen 7B 16bit 20015 GB

Best Alternatives to Qwen2 7B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Instruct 1M986K / 15.4 GB58476212
Qwen2.5 7B RRP 1M986K / 15.2 GB2364
Qwen2.5 7B CelestialHarmony 1M986K / 14.8 GB1195
COCO 7B Instruct 1M986K / 15.2 GB939
Q2.5 Instruct 1M Harmony986K / 15.2 GB501
Impish QWEN 7B 1M986K / 15.2 GB611
Qwen2.5 7B DeepSeek R1 1M986K / 15.2 GB779
Qwen2.5 7B Instruct 1M986K / 15.2 GB3812
MwM 7B CoT Merge1986K / 15.2 GB412
Mergekit Della Linear Vmeykci986K / 16.2 GB150
Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen2-7B-Instruct.

Rank the Qwen2 7B Instruct 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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