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Cerebras GPT 1.3B by cerebras

 »  All LLMs  »  cerebras  »  Cerebras GPT 1.3B   URL Share it on

  2535   
  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-1.3B 

Cerebras GPT 1.3B Benchmarks

ARC: 26.28 vs 96.7 (so35)-72.8%
HellaSwag: 38.54 vs 95.3 (gpt4)-59.6%
MMLU: 26.59 vs 88.3 (so35)-69.9%
TruthfulQA: 42.7 vs 59 (gpt4)-27.6%
WinoGrande: 53.43 vs 87.5 (gpt4)-38.9%
GSM8K: 0.23 vs 96.4 (so35)-99.8%
LLME Score: 0.15807
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Cerebras GPT 1.3B (cerebras/Cerebras-GPT-1.3B)

Cerebras GPT 1.3B Parameters and Internals

Model Type 
text generation, causal-lm
Use Cases 
Areas:
NLP, Research
Primary Use Cases:
Research into LLMs, Foundation model for NLP applications, ethics, and alignment research.
Supported Languages 
English (high)
Training Details 
Data Sources:
The Pile
Data Volume:
371B tokens
Methodology:
GPT-3 style architecture, Full attention
Context Length:
2048
Hardware Used:
Cerebras Andromeda AI supercomputer (16 CS-2 wafer scale systems)
Model Architecture:
Transformer-based, GPT-3 style
Safety Evaluation 
Ethical Considerations:
Model was trained on the Pile dataset which was analyzed for ethical issues such as toxicity and bias.
Responsible Ai Considerations 
Fairness:
Potential for distributional bias from the Pile dataset.
Accountability:
Developers are accountable for the model's outputs when using in production.
Mitigation Strategies:
Standard Pile dataset preprocessing mitigations were employed.
Input Output 
Accepted Modalities:
text
LLM NameCerebras GPT 1.3B
Repository 🤗https://huggingface.co/cerebras/Cerebras-GPT-1.3B 
Model Size1.3b
Required VRAM5.4 GB
Updated2025-02-22
Maintainercerebras
Model Typegpt2
Model Files  5.4 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-1.3B.

Rank the Cerebras GPT 1.3B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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