Tulu 2 DPO 70B 2.4bpw H6 EXL2 by LoneStriker

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  Arxiv:2305.18290   Arxiv:2311.10702   Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/llama-2-... Dataset:allenai/tulu-v2-sft-mi... Dataset:huggingfaceh4/ultrafee...   En   Endpoints compatible   Exl2   Llama   Pytorch   Quantized   Region:us   Sharded   Tensorflow

Tulu 2 DPO 70B 2.4bpw H6 EXL2 Benchmarks

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 2.4bpw H6 EXL2 (LoneStriker/tulu-2-dpo-70b-2.4bpw-h6-exl2)

Tulu 2 DPO 70B 2.4bpw H6 EXL2 Parameters and Internals

Model Type 
chat model, instruction role-tuned, RLHF
Use Cases 
Areas:
language modeling, NLP
Primary Use Cases:
instruction following, dialog assistance
Limitations:
may produce problematic outputs, not aligned to generate safe completions
Additional Notes 
Model not deployed with in-the-loop filtering.
Supported Languages 
en (Primarily)
Training Details 
Data Sources:
HuggingFaceH4/ultrafeedback_binarized, allenai/tulu-v2-sft-mixture
Methodology:
Direct Preference Optimization (DPO)
Input Output 
Input Format:
<|user|> Your message here! <|assistant|> Output follows as AI response.
Accepted Modalities:
text
Output Format:
Generated response with alignment and improvements.
Performance Tips:
Include a newline after <|assistant|> for improved generation quality.
LLM NameTulu 2 DPO 70B 2.4bpw H6 EXL2
Repository ๐Ÿค—https://huggingface.co/LoneStriker/tulu-2-dpo-70b-2.4bpw-h6-exl2 
Base Model(s)  Llama 2 70B Hf   meta-llama/Llama-2-70b-hf
Model Size70b
Required VRAM21.3 GB
Updated2024-12-23
MaintainerLoneStriker
Model Typellama
Model Files  8.6 GB: 1-of-3   8.6 GB: 2-of-3   4.1 GB: 3-of-3
Supported Languagesen
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
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

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/tulu-2-dpo-70b-2.4bpw-h6-exl2.

Rank the Tulu 2 DPO 70B 2.4bpw H6 EXL2 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217