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Cerebras GPT 2.7B Alpaca SP by lxe

 »  All LLMs  »  lxe  »  Cerebras GPT 2.7B Alpaca SP   URL Share it on

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  Autotrain compatible   Code   Endpoints compatible   Gpt2   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/lxe/Cerebras-GPT-2.7B-Alpaca-SP 

Cerebras GPT 2.7B Alpaca SP Benchmarks

ARC: 30.8 vs 96.7 (so35)-68.1%
HellaSwag: 48.88 vs 95.3 (gpt4)-48.7%
MMLU: 25.12 vs 88.3 (so35)-71.6%
TruthfulQA: 40.24 vs 59 (gpt4)-31.8%
WinoGrande: 55.41 vs 87.5 (gpt4)-36.7%
GSM8K: 0.53 vs 96.4 (so35)-99.5%
LLME Score: 0.13605
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 Alpaca SP (lxe/Cerebras-GPT-2.7B-Alpaca-SP)

Cerebras GPT 2.7B Alpaca SP Parameters and Internals

Model Type 
text generation
Additional Notes 
The model uses a shorter prompt structure and is designed for code-related tasks.
Training Details 
Data Sources:
Alpaca dataset
Methodology:
Finetuned on a modified Alpaca dataset with a shorter prompt structure.
Model Architecture:
Cerebras-GPT architecture with a merged float16 model and LoRA
Input Output 
Input Format:
Prompt starts with 'Human:' followed by the question and 'Assistant:' for the model's response.
Accepted Modalities:
text
Output Format:
Textual response as an answer to the prompts.
LLM NameCerebras GPT 2.7B Alpaca SP
Repository 🤗https://huggingface.co/lxe/Cerebras-GPT-2.7B-Alpaca-SP 
Model Size2.7b
Required VRAM5.4 GB
Updated2025-04-25
Maintainerlxe
Model Typegpt2
Model Files  5.4 GB
Model ArchitectureGPT2LMHeadModel
Licenseapache-2.0
Transformers Version4.28.0.dev0
Vocabulary Size50257
Torch Data Typefloat16
Activation Functiongelu

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

Rank the Cerebras GPT 2.7B Alpaca SP 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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