Locutusque/Hyperion-2.0-Mistral-7B

TEXT GENERATIONConcurrency Cost:1Model Size:7BQuant:FP8Ctx Length:8kPublished:Mar 10, 2024License:apache-2.0Architecture:Transformer0.0K Open Weights Cold

Locutusque/Hyperion-2.0-Mistral-7B is a 7 billion parameter language model based on Mistral-7B-v0.1, fine-tuned by Locutusque on the Hyperion-v2.0 dataset. This model specializes in advanced reasoning across scientific domains, including complex question answering, conversational AI, code generation, medical text comprehension, mathematical reasoning, and logical reasoning. It leverages a diverse training set of 750,000 examples to handle complex inquiries and instructions. With an 8192 token context length, it is designed for researchers and practitioners needing powerful domain-specific problem-solving capabilities.

Loading preview...

Hyperion-2.0-Mistral-7B: Advanced Reasoning for Scientific Domains

Locutusque/Hyperion-2.0-Mistral-7B is a 7 billion parameter language model, fine-tuned from mistralai/Mistral-7B-v0.1 by Locutusque. It is specifically designed for advanced reasoning across a multitude of scientific and technical domains, leveraging the comprehensive Hyperion-v2.0 dataset.

Key Capabilities

  • Complex Question Answering: Excels at understanding and responding to intricate inquiries.
  • Conversational AI: Capable of engaging in technical and scientific conversations.
  • Code Generation: Supports automation in generating and understanding programming contexts.
  • Domain-Specific Comprehension: Strong in medical text comprehension, mathematical reasoning, and logical reasoning.
  • Diverse Training: Fine-tuned on 750,000 examples from the Hyperion-v2.0 dataset, which includes programming, medical texts, mathematical problems, and various reasoning tasks.

Intended Use Cases

  • AI-driven Tutoring Systems: Ideal for science, medicine, mathematics, and computer science education.
  • Professional Assistive Tools: Provides fast and accurate domain-specific information retrieval.
  • Technical Conversational Platforms: Enhances AI capabilities with a focus on scientific and technical reasoning.

Limitations

While highly capable, the model's diverse training data may lead to inconsistencies in responses due to variations in data formatting. It is also noted for being very compliant, responding to any request, and may require further DPO fine-tuning for enterprise-level deployment to ensure alignment.

Popular Sampler Settings

Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.

temperature
top_p
top_k
frequency_penalty
presence_penalty
repetition_penalty
min_p