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Infinity Instruct 3M 0625 Yi 1.5 9B by BAAI

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

Infinity Instruct 3M 0625 Yi 1.5 9B Benchmarks

MMLU Pro: 34.65
GPQA: 13.87
MUSR: 16.72
BBH: 35.38
IFEval: 51.86 vs 88 (so35)-41.1%
MATH Lvl 5: 15.18
LLME Score: 0.35694
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 Yi 1.5 9B Parameters and Internals

Model Type 
supervised instruction tuning
Supported Languages 
en (high)
Training Details 
Data Sources:
Infinity-Instruct-3M, Infinity-Instruct-0625
Methodology:
Supervised instruction tuning without RLHF
Input Output 
Input Format:
Chat template using special tokens for user and assistant dialogue.
Accepted Modalities:
text
Output Format:
Textual generation.
Release Notes 
Date:
2024/07/09
Notes:
Release of the model weights.
LLM NameInfinity Instruct 3M 0625 Yi 1.5 9B
Repository 🤗https://huggingface.co/BAAI/Infinity-Instruct-3M-0625-Yi-1.5-9B 
Model Size9b
Required VRAM17.7 GB
Updated2024-11-22
MaintainerBAAI
Model Typellama
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   2.8 GB: 4-of-4
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.42.3
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16
Infinity Instruct 3M 0625 Yi 1.5 9B (BAAI/Infinity-Instruct-3M-0625-Yi-1.5-9B)

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Rank the Infinity Instruct 3M 0625 Yi 1.5 9B 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
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