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Llama 160M by JackFram

 »  All LLMs  »  JackFram  »  Llama 160M   URL Share it on

  214699   
  Arxiv:2305.09781   Autotrain compatible   Dataset:wikipedia   En   Endpoints compatible   Llama   Pytorch   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/JackFram/llama-160m 

Llama 160M Benchmarks

MMLU Pro: 1.42
GPQA: 1.57
MUSR: 4.67
BBH: 2.03
IFEval: 17.91 vs 88 (so35)-79.6%
ARC: 24.83 vs 96.7 (so35)-74.3%
HellaSwag: 35.23 vs 95.3 (gpt4)-63%
MMLU: 24.26 vs 88.3 (so35)-72.5%
TruthfulQA: 42.08 vs 59 (gpt4)-28.7%
WinoGrande: 50.83 vs 87.5 (gpt4)-41.9%
GSM8K: 0.08 vs 96.4 (so35)-99.9%
LLME Score: 0.25156
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 160M (JackFram/llama-160m)

Llama 160M Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model has not been evaluated yet, so use it with care.
Supported Languages 
en (unknown)
Training Details 
Data Sources:
Wikipedia, C4-en, C4-realnewslike
LLM NameLlama 160M
Repository 🤗https://huggingface.co/JackFram/llama-160m 
Model Size160m
Required VRAM0 GB
Updated2025-02-05
MaintainerJackFram
Model Typellama
Model Files  0.7 GB   1.3 GB   0.7 GB   0.0 GB   0.0 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.31.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat32

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Rank the Llama 160M Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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