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Granite 7B Base by ibm-granite

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Granite 7B Base is an open-source language model by ibm-granite. Features: 7b LLM, VRAM: 27.1GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.15.

  Deploy:azure   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ibm-granite/granite-7b-base 

Granite 7B Base Benchmarks

LLME Score: 0.15357
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Granite 7B Base (ibm-granite/granite-7b-base)
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Granite 7B Base Parameters and Internals

Model Type 
Pre-trained LLM
Additional Notes 
In a commitment to data transparency and fostering open innovation, the data sources, sampling proportions, and URLs for access are provided.
Supported Languages 
English (primary)
Training Details 
Data Sources:
Common Crawl, Github_Clean, Wikipedia and Wikimedia, USPTO, PubMed Central, arXiv, StackExchange, PG19, Webhose
Data Volume:
2T tokens
Context Length:
4000
Model Architecture:
The model architecture is a replica of Meta’s Llama2-7B base variant with MHA, trained with 1M batch size on 2T tokens.
Responsible Ai Considerations 
Mitigation Strategies:
In the absence of adequate safeguards and RLHF, there exists a risk of malicious utilization of these models for generating disinformation or harmful content.
LLM NameGranite 7B Base
Repository 🤗https://huggingface.co/ibm-granite/granite-7b-base 
Model Size7b
Required VRAM27.1 GB
Updated2026-05-16
Maintaineribm-granite
Model Typellama
Model Files  4.8 GB: 1-of-6   4.9 GB: 2-of-6   4.9 GB: 3-of-6   4.9 GB: 4-of-6   4.9 GB: 5-of-6   2.7 GB: 6-of-6
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat32

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

Rank the Granite 7B Base 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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