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Infinity Instruct 3M 0613 Mistral 7B by BAAI

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

Infinity Instruct 3M 0613 Mistral 7B Benchmarks

MMLU Pro: 24.01
GPQA: 6.15
MUSR: 13.25
BBH: 28.99
IFEval: 53.2 vs 88 (so35)-39.5%
MATH Lvl 5: 6.65
LLME Score: 0.36653
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 0613 Mistral 7B Parameters and Internals

LLM NameInfinity Instruct 3M 0613 Mistral 7B
Repository 🤗https://huggingface.co/BAAI/Infinity-Instruct-3M-0613-Mistral-7B 
Model Size7b
Required VRAM14.4 GB
Updated2024-09-07
MaintainerBAAI
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32002
Torch Data Typebfloat16
Infinity Instruct 3M 0613 Mistral 7B (BAAI/Infinity-Instruct-3M-0613-Mistral-7B)

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Note: green Score (e.g. "73.2") means that the model is better than BAAI/Infinity-Instruct-3M-0613-Mistral-7B.

Rank the Infinity Instruct 3M 0613 Mistral 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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