prithivMLmods/Deepthink-Reasoning-7B

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:7.6BQuant:FP8Ctx Length:32kPublished:Dec 28, 2024License:creativeml-openrail-mArchitecture:Transformer0.0K Open Weights Warm

Deepthink-Reasoning-7B by prithivMLmods is a 7.6 billion parameter language model, fine-tuned from Qwen2.5-7B-Instruct, specifically optimized for deep reasoning, logical structuring, and problem-solving tasks. It excels in generating step-by-step solutions, creative content, and logical analyses across various domains. With a 131072-token context length, it offers enhanced capabilities in coding, mathematics, instruction following, and structured data understanding, supporting over 29 languages.

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Deepthink-Reasoning-7B: Enhanced Reasoning and Problem-Solving

Deepthink-Reasoning-7B is a 7.6 billion parameter language model developed by prithivMLmods, fine-tuned from the Qwen2.5-7B-Instruct base. It is specifically engineered for tasks demanding deep reasoning, logical structuring, and complex problem-solving, making it suitable for applications in education, programming, and creative writing.

Key Capabilities

  • Advanced Reasoning: Optimized for generating step-by-step solutions and logical analyses for complex queries.
  • Enhanced Coding & Mathematics: Significantly improved capabilities in coding and mathematical problem-solving, leveraging specialized expert models.
  • Robust Instruction Following: Demonstrates substantial improvements in adhering to instructions and understanding diverse system prompts, beneficial for role-play and chatbot implementations.
  • Long Context & Generation: Supports a long context window of up to 128K tokens and can generate outputs up to 8K tokens.
  • Structured Data Understanding: Excels at understanding structured data, such as tables, and generating structured outputs, including JSON.
  • Multilingual Support: Provides comprehensive support for over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, and Arabic.

Ideal Use Cases

  • Educational Tools: Generating detailed explanations and problem solutions.
  • Software Development: Assisting with code generation and debugging.
  • Content Creation: Producing creative writing and logically structured content.
  • Chatbots & Assistants: Implementing sophisticated chatbots with strong instruction following and role-playing abilities.

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