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Airoboros DPO 70B 3.3 by jondurbin

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  Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/meta-lla...   Conversational Dataset:allenai/ultrafeedback ... Dataset:argilla/distilabel-int... Dataset:bluemoon-fandom-1-1-rp...   Dataset:boolq Dataset:glaiveai/glaive-functi... Dataset:grimulkan/limarp-augme... Dataset:jondurbin/airoboros-3.... Dataset:jondurbin/cinematika-v... Dataset:jondurbin/contextual-d... Dataset:jondurbin/gutenberg-dp...   Dataset:jondurbin/py-dpo-v0.1 Dataset:jondurbin/truthy-dpo-v...   Dataset:ldjnr/capybara   Dataset:lmsys/lmsys-chat-1m Dataset:mattpscott/airoboros-s...   Dataset:piqa Dataset:unalignment/toxic-dpo-... Dataset:vezora/tested-22k-pyth...   Endpoints compatible   Llama   Llama-3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/jondurbin/airoboros-dpo-70b-3.3 

Airoboros DPO 70B 3.3 Benchmarks

LLME Score: 0.21217
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Airoboros DPO 70B 3.3 (jondurbin/airoboros-dpo-70b-3.3)

Airoboros DPO 70B 3.3 Parameters and Internals

Model Type 
text generation, instruction following
Additional Notes 
The model is fine-tuned using synthetic data and DPO datasets. Not recommended for commercial use due to OpenAI's ToS restrictions. License details are left intentionally ambiguous.
Training Details 
Data Sources:
jondurbin/airoboros-3.2, bluemoon-fandom-1-1-rp-cleaned, boolq, LDJnr/Capybara, jondurbin/cinematika-v0.1, glaiveai/glaive-function-calling-v2, grimulkan/LimaRP-augmented, piqa, Vezora/Tested-22k-Python-Alpaca, mattpscott/airoboros-summarization, unalignment/toxic-dpo-v0.2, allenai/ultrafeedback_binarized_cleaned, argilla/distilabel-intel-orca-dpo-pairs, jondurbin/contextual-dpo-v0.1, jondurbin/gutenberg-dpo-v0.1, jondurbin/py-dpo-v0.1, jondurbin/truthy-dpo-v0.1, lmsys/lmsys-chat-1m
Model Architecture:
llama-3 instruct chat template
Input Output 
Input Format:
llama-3-instruct prompt template
Performance Tips:
Use a very low temperature for certain tasks to avoid hallucinations. Ensure proper prompt formatting for closed-context instruction.
LLM NameAiroboros DPO 70B 3.3
Repository 🤗https://huggingface.co/jondurbin/airoboros-dpo-70b-3.3 
Base Model(s)  Meta Llama 3 8B   meta-llama/Meta-Llama-3-8B
Model Size8b
Required VRAM141.2 GB
Updated2025-02-22
Maintainerjondurbin
Model Typellama
Model Files  4.0 GB: 1-of-37   3.6 GB: 2-of-37   3.9 GB: 3-of-37   3.9 GB: 4-of-37   3.9 GB: 5-of-37   3.7 GB: 6-of-37   3.9 GB: 7-of-37   3.9 GB: 8-of-37   3.9 GB: 9-of-37   3.7 GB: 10-of-37   3.9 GB: 11-of-37   3.9 GB: 12-of-37   3.9 GB: 13-of-37   3.7 GB: 14-of-37   3.9 GB: 15-of-37   3.9 GB: 16-of-37   3.9 GB: 17-of-37   3.7 GB: 18-of-37   3.9 GB: 19-of-37   3.9 GB: 20-of-37   3.9 GB: 21-of-37   3.7 GB: 22-of-37   3.9 GB: 23-of-37   3.9 GB: 24-of-37   3.9 GB: 25-of-37   3.7 GB: 26-of-37   3.9 GB: 27-of-37   3.9 GB: 28-of-37   3.9 GB: 29-of-37   3.7 GB: 30-of-37   3.9 GB: 31-of-37   3.9 GB: 32-of-37   3.9 GB: 33-of-37   3.7 GB: 34-of-37   3.9 GB: 35-of-37   3.9 GB: 36-of-37   2.6 GB: 37-of-37
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than jondurbin/airoboros-dpo-70b-3.3.

Rank the Airoboros DPO 70B 3.3 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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Release v20241227
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