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Infinity Instruct 3M 0625 Qwen2 7B by BAAI

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  Autotrain compatible   Conversational   Dataset:baai/infinity-instruct   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Infinity Instruct 3M 0625 Qwen2 7B Benchmarks

MMLU Pro: 32.89
GPQA: 8.39
MUSR: 6.46
BBH: 34.66
IFEval: 55.54 vs 88 (so35)-36.9%
MATH Lvl 5: 6.12
LLME Score: 0.37658
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Infinity Instruct 3M 0625 Qwen2 7B Parameters and Internals

LLM NameInfinity Instruct 3M 0625 Qwen2 7B
Repository 🤗https://huggingface.co/BAAI/Infinity-Instruct-3M-0625-Qwen2-7B 
Model Size7b
Required VRAM15.2 GB
Updated2024-09-16
MaintainerBAAI
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.37.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace
Infinity Instruct 3M 0625 Qwen2 7B (BAAI/Infinity-Instruct-3M-0625-Qwen2-7B)

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Note: green Score (e.g. "73.2") means that the model is better than BAAI/Infinity-Instruct-3M-0625-Qwen2-7B.

Rank the Infinity Instruct 3M 0625 Qwen2 7B 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 v2024072803
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