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LLaMA 7B by dfurman

 »  All LLMs  »  dfurman  »  LLaMA 7B   URL Share it on

  40   
  Arxiv:2302.13971   Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/dfurman/LLaMA-7B 

LLaMA 7B Benchmarks

LLME Score: 0.09147
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LLaMA 7B (dfurman/LLaMA-7B)
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LLaMA 7B Parameters and Internals

Model Type 
Causal decoder-only
Use Cases 
Areas:
research on large language models
Primary Use Cases:
question answering, natural language understanding, reading comprehension, evaluating and mitigating risks from language models
Limitations:
not trained with human feedback, prone to generate toxic or offensive content, incorrect information or unhelpful answers possible
Supported Languages 
supported_languages_list (/), bg, ca, cs, da, de, en, es, fr, hr, hu, it, nl, pl, pt, ro, ru, sl, sr, sv, uk (/), proficiency_level (/)
Training Details 
Data Sources:
CCNet [67%], C4 [15%], GitHub [4.5%], Wikipedia [4.5%], Books [4.5%], ArXiv [2.5%], Stack Exchange[2%]
Data Volume:
1T tokens
Training Time:
Dec 2022 to Feb 2023
Safety Evaluation 
Ethical Considerations:
LLaMA is expected to exhibit biases from the training data, which might contain offensive, harmful, and biased content.
Responsible Ai Considerations 
Fairness:
Model performance may vary with the language and possibly for different dialects. Model reflects biases from its web-based training data.
Mitigation Strategies:
Data was filtered based on its proximity to Wikipedia text and references using the Kneser-Ney language model with a fastText linear classifier.
Input Output 
Input Format:
prompt text
Accepted Modalities:
text
Output Format:
generated text
Performance Tips:
Use a GPU with sufficient VRAM for optimal performance.
LLM NameLLaMA 7B
Repository 🤗https://huggingface.co/dfurman/LLaMA-7B 
Model Size7b
Required VRAM13.5 GB
Updated2025-09-23
Maintainerdfurman
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2   10.0 GB: 1-of-2   3.5 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length2048
Model Max Length2048
Transformers Version4.30.2
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than dfurman/LLaMA-7B.

Rank the LLaMA 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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