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GPT 2 Xl Camel Ai Physics by lgaalves

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GPT 2 Xl Camel Ai Physics is an open-source language model by lgaalves. Features: 1.6b LLM, VRAM: 3.1GB, License: mit, LLM Explorer Score: 0.15, Arc: 29.5, HellaSwag: 50.6, MMLU: 26.8, GSM8K: 0.2.

Dataset:lgaalves/camel-ai-phys...   En   Endpoints compatible   Gpt2   Pytorch   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/lgaalves/gpt-2-xl_camel-ai-physics 

GPT 2 Xl Camel Ai Physics Benchmarks

ARC: 29.52 vs 96.7 (so35)-69.5%
HellaSwag: 50.62 vs 95.3 (gpt4)-46.9%
MMLU: 26.79 vs 88.3 (so35)-69.7%
GSM8K: 0.15 vs 96.4 (so35)-99.8%
LLME Score: 0.14565
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GPT 2 Xl Camel Ai Physics (lgaalves/gpt-2-xl_camel-ai-physics)
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GPT 2 Xl Camel Ai Physics Parameters and Internals

Model Type 
text generation, auto-regressive language model
Use Cases 
Areas:
text generation
Primary Use Cases:
fine-tuning for downstream tasks
Limitations:
may produce false information, contains unfiltered internet content
Supported Languages 
en (proficient)
Training Details 
Data Sources:
lgaalves/camel-physics
Methodology:
instruction fine-tuned
Training Time:
3 hours
Hardware Used:
1 Tesla V100-SXM2-16GB
Model Architecture:
GPT-2 transformer architecture
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
generated text
LLM NameGPT 2 Xl Camel Ai Physics
Repository 🤗https://huggingface.co/lgaalves/gpt-2-xl_camel-ai-physics 
Model Size1.6b
Required VRAM3.1 GB
Updated2026-05-21
Maintainerlgaalves
Model Typegpt2
Model Files  3.1 GB   3.1 GB
Supported Languagesen
Model ArchitectureGPT2LMHeadModel
Licensemit
Model Max Length1024
Transformers Version4.32.1
Tokenizer ClassGPT2Tokenizer
Vocabulary Size50257
Torch Data Typefloat16
Activation Functiongelu_new

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Note: green Score (e.g. "73.2") means that the model is better than lgaalves/gpt-2-xl_camel-ai-physics.

Rank the GPT 2 Xl Camel Ai Physics 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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