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LION LLaMA 3 8B Odpo V1.0 by Columbia-NLP

 »  All LLMs  »  Columbia-NLP  »  LION LLaMA 3 8B Odpo V1.0   URL Share it on

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  Arxiv:2407.06542   Autotrain compatible   Conversational   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Columbia-NLP/LION-LLaMA-3-8b-odpo-v1.0 

LION LLaMA 3 8B Odpo V1.0 Benchmarks

MMLU Pro: 23.92
GPQA: 4.7
MUSR: 9.72
BBH: 30.46
IFEval: 39.68 vs 88 (so35)-54.9%
MATH Lvl 5: 10.65
LLME Score: 0.25739
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LION LLaMA 3 8B Odpo V1.0 (Columbia-NLP/LION-LLaMA-3-8b-odpo-v1.0)

LION LLaMA 3 8B Odpo V1.0 Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, text generation
Applications:
NLP tasks
Primary Use Cases:
text generation responding to prompts
Supported Languages 
English (Primarily)
Training Details 
Methodology:
Fine-tuned using an empirically optimized pipeline that includes SFT, DPO, and online DPO.
LLM NameLION LLaMA 3 8B Odpo V1.0
Repository 🤗https://huggingface.co/Columbia-NLP/LION-LLaMA-3-8b-odpo-v1.0 
Model Size8b
Required VRAM32.1 GB
Updated2025-02-22
MaintainerColumbia-NLP
Model Typellama
Model Files  4.9 GB: 1-of-7   4.8 GB: 2-of-7   5.0 GB: 3-of-7   5.0 GB: 4-of-7   4.8 GB: 5-of-7   5.0 GB: 6-of-7   2.6 GB: 7-of-7
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.39.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than Columbia-NLP/LION-LLaMA-3-8b-odpo-v1.0.

Rank the LION LLaMA 3 8B Odpo V1.0 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 v20241227
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