Cosmo 1B by HuggingFaceTB

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  Autotrain compatible Dataset:huggingfacetb/cosmoped...   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/HuggingFaceTB/cosmo-1b 

Cosmo 1B Benchmarks

Cosmo 1B (HuggingFaceTB/cosmo-1b)

Cosmo 1B Parameters and Internals

Model Type 
text generation, chat
Use Cases 
Areas:
text generation, educational
Applications:
story generation, Q&A generation
Primary Use Cases:
chatbot applications
Limitations:
may hallucinate or provide incomplete/incorrect answers due to synthetic training data
Supported Languages 
en (full)
Training Details 
Data Sources:
Cosmopedia, non-synthetic sources like code-python-0.60-to-1.00 and web-0.50-to-1.00 subsets of AutoMathText, The Stack's Jupyter Notebooks, ultrachat
Data Volume:
180 billion tokens
Methodology:
Used UltraChat data formatted for LlaMa models, to avoid post pre-training instruction-tuning, and upsampled data from seed sources.
Context Length:
2048
Training Time:
15 hours
Hardware Used:
160 H100 GPUs
Model Architecture:
Llama-2
Input Output 
Input Format:
Chat and regular text prompts
Accepted Modalities:
text
Output Format:
Generated text sequence
Performance Tips:
Use chat format for better instructional adherence.
LLM NameCosmo 1B
Repository ๐Ÿค—https://huggingface.co/HuggingFaceTB/cosmo-1b 
Model Size1b
Required VRAM7 GB
Updated2025-02-22
MaintainerHuggingFaceTB
Model Typellama
Model Files  5.0 GB: 1-of-2   2.0 GB: 2-of-2
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than HuggingFaceTB/cosmo-1b.

Rank the Cosmo 1B Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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