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Cerebras GPT 2.7B by cerebras

 »  All LLMs  »  cerebras  »  Cerebras GPT 2.7B   URL Share it on

  2113   
  Arxiv:2101.00027   Arxiv:2203.15556   Arxiv:2304.03208   Dataset:the pile   En   Gpt2   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/cerebras/Cerebras-GPT-2.7B 

Cerebras GPT 2.7B Benchmarks

ARC: 29.1 vs 96.7 (so35)-69.9%
HellaSwag: 49.29 vs 95.3 (gpt4)-48.3%
MMLU: 25.17 vs 88.3 (so35)-71.5%
TruthfulQA: 41.37 vs 59 (gpt4)-29.9%
WinoGrande: 54.14 vs 87.5 (gpt4)-38.1%
GSM8K: 0.45 vs 96.4 (so35)-99.5%
LLME Score: 0.15402
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Cerebras GPT 2.7B (cerebras/Cerebras-GPT-2.7B)

Cerebras GPT 2.7B Parameters and Internals

Model Type 
Transformer-based Language Model, Causal Language Model
Use Cases 
Areas:
NLP research, applications, ethics, alignment research
Applications:
NLP applications
Primary Use Cases:
Research into large language models, Foundation model for NLP
Limitations:
Not suitable for machine translation, Not tuned for human-facing dialog
Considerations:
Further testing and mitigations are required for safety-related applications.
Additional Notes 
Compatible with Hugging Face pipelines and Cerebras Model Studio for pre-training and fine-tuning. Checkpoints available in Cerebras Model Zoo.
Supported Languages 
English (full proficiency)
Training Details 
Data Sources:
The Pile
Data Volume:
371B tokens
Methodology:
Training followed Chinchilla scaling laws with 20 tokens per model parameter using the Pile dataset.
Context Length:
2048
Hardware Used:
16 CS-2 wafer scale systems
Model Architecture:
GPT-3 style model with full attention
Responsible Ai Considerations 
Fairness:
Analysis has been conducted on the ethical standpoints of the Pile dataset, including toxicity and gender bias.
Accountability:
Developers and researchers should ensure the appropriateness of model use.
Mitigation Strategies:
Standard Pile dataset pre-processing.
Input Output 
Accepted Modalities:
text
LLM NameCerebras GPT 2.7B
Repository 🤗https://huggingface.co/cerebras/Cerebras-GPT-2.7B 
Model Size2.7b
Required VRAM10.7 GB
Updated2025-02-22
Maintainercerebras
Model Typegpt2
Model Files  10.7 GB
Supported Languagesen
Model ArchitectureAutoModel
Licenseapache-2.0
Vocabulary Size50257
Activation Functiongelu

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Note: green Score (e.g. "73.2") means that the model is better than cerebras/Cerebras-GPT-2.7B.

Rank the Cerebras GPT 2.7B 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  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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