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Decapoda Research Llama 7B Hf by baffo32

 »  All LLMs  »  baffo32  »  Decapoda Research Llama 7B Hf   URL Share it on

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  Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/baffo32/decapoda-research-llama-7B-hf 

Decapoda Research Llama 7B Hf Benchmarks

LLME Score: 0.1091
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Decapoda Research Llama 7B Hf (baffo32/decapoda-research-llama-7B-hf)
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Decapoda Research Llama 7B Hf Parameters and Internals

Model Type 
auto-regressive, transformer architecture
Use Cases 
Primary Use Cases:
Research on large language models, Exploring applications such as question answering and reading comprehension, Evaluating and mitigating biases, Determining capabilities and limitations of models
Limitations:
Base model not suitable for downstream applications without risk evaluation
Supported Languages 
en (High proficiency), others (Included 20 languages, mainly supports English)
Training Details 
Data Sources:
CCNet, C4, GitHub, Wikipedia, Books, ArXiv, Stack Exchange
Data Volume:
1T tokens with different breakdowns for different model sizes
Model Architecture:
transformer architecture
Responsible Ai Considerations 
Fairness:
Model reflects biases from web sources. Evaluated biases include gender, religion, race, sexual orientation, age, nationality, disability, physical appearance, and socioeconomic status.
Transparency:
Model trained using web-sourced data which may contain biased and harmful content.
Accountability:
Use GitHub repository to raise questions or comments.
Mitigation Strategies:
Filtered data based on proximity to Wikipedia text using a Kneser-Ney language model and fastText linear classifier.
LLM NameDecapoda Research Llama 7B Hf
Repository 🤗https://huggingface.co/baffo32/decapoda-research-llama-7B-hf 
Model Size7b
Required VRAM13.3 GB
Updated2025-08-21
Maintainerbaffo32
Model Typellama
Model Files  0.4 GB: 1-of-33   0.4 GB: 2-of-33   0.4 GB: 3-of-33   0.4 GB: 4-of-33   0.4 GB: 5-of-33   0.4 GB: 6-of-33   0.4 GB: 7-of-33   0.4 GB: 8-of-33   0.4 GB: 9-of-33   0.4 GB: 10-of-33   0.4 GB: 11-of-33   0.4 GB: 12-of-33   0.4 GB: 13-of-33   0.4 GB: 14-of-33   0.4 GB: 15-of-33   0.4 GB: 16-of-33   0.4 GB: 17-of-33   0.4 GB: 18-of-33   0.4 GB: 19-of-33   0.4 GB: 20-of-33   0.4 GB: 21-of-33   0.4 GB: 22-of-33   0.4 GB: 23-of-33   0.4 GB: 24-of-33   0.4 GB: 25-of-33   0.4 GB: 26-of-33   0.4 GB: 27-of-33   0.4 GB: 28-of-33   0.4 GB: 29-of-33   0.4 GB: 30-of-33   0.4 GB: 31-of-33   0.4 GB: 32-of-33   0.5 GB: 33-of-33
Model ArchitectureLlamaForCausalLM
Licenseother
Transformers Version4.27.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than baffo32/decapoda-research-llama-7B-hf.

Rank the Decapoda Research Llama 7B Hf 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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