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Autotrain Llama3 70B Orpo V2 by abhishek

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Model Card on HF 🤗: https://huggingface.co/abhishek/autotrain-llama3-70b-orpo-v2 

Autotrain Llama3 70B Orpo V2 Benchmarks

MMLU Pro: 42.42
GPQA: 5.82
MUSR: 9.95
BBH: 39.88
IFEval: 54.06 vs 88 (so35)-38.6%
ARC: 70.9 vs 96.7 (so35)-26.7%
HellaSwag: 86.09 vs 95.3 (gpt4)-9.7%
MMLU: 80.07 vs 88.3 (so35)-9.3%
TruthfulQA: 62.82 vs 59 (gpt4)6.5%
WinoGrande: 84.93 vs 87.5 (gpt4)-2.9%
GSM8K: 84.23 vs 96.4 (so35)-12.6%
MATH Lvl 5: 21.07
LLME Score: 0.296
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Autotrain Llama3 70B Orpo V2 (abhishek/autotrain-llama3-70b-orpo-v2)

Autotrain Llama3 70B Orpo V2 Parameters and Internals

Model Type 
text-generation
Additional Notes 
This model was trained using AutoTrain. More details can be found at [AutoTrain](https://hf.co/docs/autotrain).
LLM NameAutotrain Llama3 70B Orpo V2
Repository 🤗https://huggingface.co/abhishek/autotrain-llama3-70b-orpo-v2 
Model Size70b
Required VRAM141.9 GB
Updated2025-02-22
Maintainerabhishek
Model Typellama
Instruction-BasedYes
Model Files  4.6 GB: 1-of-30   4.7 GB: 2-of-30   5.0 GB: 3-of-30   5.0 GB: 4-of-30   4.7 GB: 5-of-30   4.7 GB: 6-of-30   4.7 GB: 7-of-30   5.0 GB: 8-of-30   5.0 GB: 9-of-30   4.7 GB: 10-of-30   4.7 GB: 11-of-30   4.7 GB: 12-of-30   5.0 GB: 13-of-30   5.0 GB: 14-of-30   4.7 GB: 15-of-30   4.7 GB: 16-of-30   4.7 GB: 17-of-30   5.0 GB: 18-of-30   5.0 GB: 19-of-30   4.7 GB: 20-of-30   4.7 GB: 21-of-30   4.7 GB: 22-of-30   5.0 GB: 23-of-30   5.0 GB: 24-of-30   4.7 GB: 25-of-30   4.7 GB: 26-of-30   4.7 GB: 27-of-30   5.0 GB: 28-of-30   5.0 GB: 29-of-30   2.1 GB: 30-of-30   0.0 GB
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size128262
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than abhishek/autotrain-llama3-70b-orpo-v2.

Rank the Autotrain Llama3 70B Orpo V2 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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