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Granite 7B Instruct by ibm-granite

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  Arxiv:2403.01081   Autotrain compatible Base model:finetune:ibm-granit... Base model:ibm-granite/granite...   Conversational   En   Endpoints compatible   Granite   Ibm   Instruct   Lab   Labrador   Labradorite   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ibm-granite/granite-7b-instruct 

Granite 7B Instruct Benchmarks

MMLU Pro: 14.29
GPQA: 4.7
MUSR: 8.82
BBH: 12.64
IFEval: 29.72 vs 88 (so35)-66.2%
MATH Lvl 5: 2.04
LLME Score: 0.24361
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Granite 7B Instruct (ibm-granite/granite-7b-instruct)

Granite 7B Instruct Parameters and Internals

LLM NameGranite 7B Instruct
Repository 🤗https://huggingface.co/ibm-granite/granite-7b-instruct 
Base Model(s)  ibm/granite-7b-base   ibm/granite-7b-base
Model Size7b
Required VRAM13.5 GB
Updated2025-03-18
Maintaineribm-granite
Model Typellama
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.6 GB: 3-of-3
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.40.0
Tokenizer ClassLlamaTokenizer
Padding Token<|pad|>
Vocabulary Size32008

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Note: green Score (e.g. "73.2") means that the model is better than ibm-granite/granite-7b-instruct.

Rank the Granite 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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