Leo Hessianai 7B Chat Bilingual is an open-source language model by LeoLM. Features: 7b LLM, VRAM: 13.5GB, Context: 8K, Instruction-Based, LLM Explorer Score: 0.12, Arc: 51, HellaSwag: 76, MMLU: 44.7, GSM8K: 2.7.
Leo Hessianai 7B Chat Bilingual Parameters and Internals
Model Type Causal decoder-only transformer language model
Use Cases
Applications: Writing, Explanation, Discussion tasks
Primary Use Cases: Bilingual chat in English and German
Limitations: Struggles with math and advanced reasoning
Considerations: Developers should perform safety testing prior to deployment.
Additional Notes Developed in collaboration with LAION and HessianAI.
Supported Languages en (Bilingual support in English and German), de (Bilingual support in English and German)
Training Details
Data Sources: LeoLM/OpenSchnabeltier, OpenAssistant/OASST-DE, FreedomIntelligence/alpaca-gpt4-deutsch, FreedomIntelligence/evol-instruct-deutsch, LeoLM/German_Poems, LeoLM/German_Songs, garage-bAInd/Open-Platypus, WizardLM/WizardLM_evol_instruct_70k, bjoernp/oasst25-08-23-filtered
Data Volume: Total Accepted: 235632 samples
Total Accepted tokens: 115,862,397
Methodology: Continued pretraining on a large corpus of German-language text
Context Length:
Hardware Used: HessianAI's new supercomputer 42
Safety Evaluation
Ethical Considerations: Potential outputs cannot be predicted in advance, may include inaccurate, biased, or objectionable responses.
Input Output
Input Format:
Accepted Modalities:
Output Format:
Performance Tips: Can utilize flash-attn2 for faster inference.
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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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