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Chopt 2 7B by aisquared

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  Autotrain compatible Dataset:aisquared/databricks-d...   En   Endpoints compatible   Opt   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/aisquared/chopt-2_7b 

Chopt 2 7b Benchmarks

ARC: 36.01 vs 96.7 (so35)-62.8%
HellaSwag: 63.38 vs 95.3 (gpt4)-33.5%
MMLU: 25.44 vs 88.3 (so35)-71.2%
TruthfulQA: 37.71 vs 59 (gpt4)-36.1%
WinoGrande: 57.77 vs 87.5 (gpt4)-34%
LLME Score: 0.13645
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Chopt 2 7B (aisquared/chopt-2_7b)
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Chopt 2 7B Parameters and Internals

Model Type 
Large Language Model
Use Cases 
Areas:
Research
Applications:
Chat-based interactions
Limitations:
Can sometimes exhibit factual inaccuracies, biases, offensive responses, toxicity, and hallucinations.
Considerations:
Exercise good judgment when applying this technology.
Additional Notes 
Despite being a smaller and cheaper model, it still demonstrates the potential for accessible AI capabilities.
Supported Languages 
EN (N/A)
Training Details 
Data Sources:
aisquared/databricks-dolly-15k
Data Volume:
15k records
Methodology:
Fine-tuning
Model Architecture:
Derived from Open Pre-trained Transformer
Input Output 
Accepted Modalities:
text
Performance Tips:
Using torch_dtype=torch.bfloat16 reduces memory usage without impacting quality, if supported.
LLM NameChopt 2 7b
Repository 🤗https://huggingface.co/aisquared/chopt-2_7b 
Model Size7b
Required VRAM5.3 GB
Updated2025-09-15
Maintaineraisquared
Model Typeopt
Model Files  5.3 GB   0.0 GB
Supported Languagesen
Model ArchitectureOPTForCausalLM
Licenseother
Context Length2048
Model Max Length2048
Transformers Version4.25.1
Tokenizer ClassGPT2Tokenizer
Beginning of Sentence Token</s>
End of Sentence Token</s>
Unk Token</s>
Vocabulary Size50268
Torch Data Typefloat16
Activation Functionrelu
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than aisquared/chopt-2_7b.

Rank the Chopt 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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Release v20241124
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