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Tulu 2 DPO 70B by allenai

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  1336   
  Arxiv:2305.18290   Arxiv:2311.10702   Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/llama-2-...   Conversational Dataset:allenai/tulu-v2-sft-mi... Dataset:huggingfaceh4/ultrafee...   En   Endpoints compatible   Llama   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/allenai/tulu-2-dpo-70b 

Tulu 2 DPO 70B Benchmarks

LMSys ELO: 1099 vs 1272 (so35)-13.6%
ARC: 72.1 vs 96.7 (so35)-25.4%
HellaSwag: 88.99 vs 95.3 (gpt4)-6.6%
MMLU: 69.84 vs 88.3 (so35)-20.9%
TruthfulQA: 65.78 vs 59 (gpt4)11.5%
WinoGrande: 83.27 vs 87.5 (gpt4)-4.8%
GSM8K: 62.62 vs 96.4 (so35)-35%
LLME Score: 0.27606
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tulu 2 DPO 70B (allenai/tulu-2-dpo-70b)

Tulu 2 DPO 70B Parameters and Internals

Model Type 
Instruction and RLHF tuned chat model
Use Cases 
Areas:
Research, Commercial applications
Primary Use Cases:
Instruction following, Dialog generation
Limitations:
The model can produce problematic outputs, especially when prompted to do so
Additional Notes 
Model is a fine-tuned version of Llama 2 and uses a mix of publicly available, synthetic, and human datasets.
Supported Languages 
en (Primary)
Training Details 
Data Sources:
HuggingFaceH4/ultrafeedback_binarized, allenai/tulu-v2-sft-mixture, openbmb/UltraFeedback
Data Volume:
64k prompts and model completions
Methodology:
Fine-tuning with Direct Preference Optimization (DPO)
Input Output 
Input Format:
<|user|> Your message here! <|assistant|>
Accepted Modalities:
text
Performance Tips:
Include newline after `<|assistant|>` for better results
LLM NameTulu 2 DPO 70B
Repository 🤗https://huggingface.co/allenai/tulu-2-dpo-70b 
Base Model(s)  Llama 2 70B Hf   meta-llama/Llama-2-70b-hf
Model Size70b
Required VRAM138 GB
Updated2025-01-14
Maintainerallenai
Model Typellama
Model Files  9.8 GB: 1-of-15   9.8 GB: 2-of-15   10.0 GB: 3-of-15   9.8 GB: 4-of-15   9.8 GB: 5-of-15   9.8 GB: 6-of-15   10.0 GB: 7-of-15   9.8 GB: 8-of-15   9.8 GB: 9-of-15   9.8 GB: 10-of-15   10.0 GB: 11-of-15   9.8 GB: 12-of-15   9.8 GB: 13-of-15   9.5 GB: 14-of-15   0.5 GB: 15-of-15   9.8 GB: 1-of-15   9.8 GB: 2-of-15   10.0 GB: 3-of-15   9.8 GB: 4-of-15   9.8 GB: 5-of-15   9.8 GB: 6-of-15   10.0 GB: 7-of-15   9.8 GB: 8-of-15   9.8 GB: 9-of-15   9.8 GB: 10-of-15   10.0 GB: 11-of-15   9.8 GB: 12-of-15   9.8 GB: 13-of-15   9.5 GB: 14-of-15   0.5 GB: 15-of-15
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.33.2
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Tulu 2 DPO 70B

Model
Likes
Downloads
VRAM
Tulu 2 DPO 70B GGUF65829 GB
Tulu 2 DPO 70B GPTQ31935 GB
Tulu 2 DPO 70B AWQ31536 GB

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Note: green Score (e.g. "73.2") means that the model is better than allenai/tulu-2-dpo-70b.

Rank the Tulu 2 DPO 70B 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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