Tulu 2 DPO 70B GGUF is an open-source language model by TheBloke. Features: 70b LLM, VRAM: 29.3GB, License: other, Quantized, LLM Explorer Score: 0.11.
not aligned for safe completions, potential for problematic outputs
Considerations:
Model may produce unsafe or biased outputs.
Additional Notes
The model uses the GGUF format, succeeding GGML, for improved compatibility and performance in various UIs and libraries. Compatibility with llama.cpp and multiple third-party tools enhances usability across platforms.
Supported Languages
en (Primary)
Training Details
Data Sources:
publicly available datasets, synthetic datasets, human datasets, filtered Tulu V2 mix dataset, openbmb/UltraFeedback
Data Volume:
64k prompts in UltraFeedback dataset
Methodology:
Direct Preference Optimization (DPO)
Model Architecture:
Fine-tuned Llama 2
Input Output
Input Format:
<|user|> {prompt} <|assistant|>
Accepted Modalities:
text
Output Format:
Text response modeling after assistant
Performance Tips:
Include a newline after <|assistant|> for optimal generation.
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/tulu-2-dpo-70B-GGUF.
Rank the Tulu 2 DPO 70B GGUF 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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