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Cerebras GPT 111M by cerebras

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Cerebras GPT 111M is an open-source language model by cerebras. Features: 111m LLM, VRAM: 0.5GB, License: apache-2.0, HF Score: 27.8, LLM Explorer Score: 0.13, Arc: 20.2, HellaSwag: 26.7, MMLU: 25.5, TruthfulQA: 46.3, WinoGrande: 47.8.

  Arxiv:2101.00027   Arxiv:2203.15556   Arxiv:2304.03208   Dataset:the pile   En   Endpoints compatible   Gpt2   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/cerebras/Cerebras-GPT-111M 

Cerebras GPT 111M Benchmarks

ARC: 20.22 vs 96.7 (so35)-79.1%
HellaSwag: 26.73 vs 95.3 (gpt4)-72%
MMLU: 25.51 vs 88.3 (so35)-71.1%
TruthfulQA: 46.31 vs 59 (gpt4)-21.5%
WinoGrande: 47.75 vs 87.5 (gpt4)-45.4%
LLME Score: 0.13211
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Cerebras GPT 111M (cerebras/Cerebras-GPT-111M)
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Cerebras GPT 111M Parameters and Internals

Model Type 
Transformer-based Language Model, Text Generation, Causal LM
Use Cases 
Areas:
Research, NLP Applications, Ethics and Alignment Research
Applications:
Foundation model for NLP research, Reference implementations
Primary Use Cases:
Further research into large language models
Limitations:
Not suitable for machine translation tasks, Not tuned for human-facing dialog applications
Considerations:
Further safety testing and mitigations should be applied before production use.
Additional Notes 
Trained and evaluated following the approaches described in the Cerebras-GPT paper.
Training Details 
Data Sources:
The Pile
Data Volume:
371B tokens
Methodology:
GPT-3 style architecture with full attention and weight streaming technology
Context Length:
2048
Hardware Used:
16 CS-2 wafer scale systems
Model Architecture:
GPT-3 style
Responsible Ai Considerations 
Fairness:
The Pile dataset used has been analyzed for various biases and ethical standpoints.
Mitigation Strategies:
Mitigations applied are limited to standard Pile dataset pre-processing.
Input Output 
Input Format:
Tokenized text input
Accepted Modalities:
Text
Output Format:
Generated Text
LLM NameCerebras GPT 111M
Repository 🤗https://huggingface.co/cerebras/Cerebras-GPT-111M 
Model Size111m
Required VRAM0.5 GB
Updated2025-10-10
Maintainercerebras
Model Typegpt2
Model Files  0.5 GB
Supported Languagesen
Model ArchitectureAutoModel
Licenseapache-2.0
Vocabulary Size50257
Activation Functiongelu

Rank the Cerebras GPT 111M 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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