prithivMLmods/Omni-Reasoner-Merged

Hugging Face
TEXT GENERATIONPricing:Input $0.68 / Cached $0.136 / Output $0.8Concurrent Unit Cost:1Model Size:7.6BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jan 16, 2025Architecture:Transformer0.0K Featherless Exclusive Warm

Omni-Reasoner-Merged by prithivMLmods is a 7.6 billion parameter language model based on Qwen2.5-7B-Instruct, created using the Model Stock merge method. It integrates specialized models like Deepthink-Reasoning-7B and Neumind-Math-7B-Instruct. This model is designed to enhance reasoning and mathematical capabilities, making it suitable for complex problem-solving tasks.

Loading preview...

Overview

Omni-Reasoner-Merged is a 7.6 billion parameter language model developed by prithivMLmods. It is built upon the Qwen/Qwen2.5-7B-Instruct base model and was created using the Model Stock merge method, a technique designed to combine the strengths of multiple pre-trained models. This approach allows Omni-Reasoner-Merged to inherit and enhance specific capabilities from its constituent models.

Key Capabilities

  • Enhanced Reasoning: Integrates prithivMLmods/Deepthink-Reasoning-7B to improve logical deduction and problem-solving.
  • Advanced Mathematical Skills: Incorporates prithivMLmods/Neumind-Math-7B-Instruct and prithivMLmods/QwQ-MathOct-7B for robust mathematical computation and understanding.
  • Chain-of-Thought (CoT) Integration: Benefits from prithivMLmods/QwQ-LCoT-7B-Instruct to facilitate more structured and explainable reasoning processes.

Good for

  • Applications requiring strong logical reasoning.
  • Tasks involving complex mathematical problems.
  • Use cases where transparent, step-by-step reasoning is beneficial.

Finetunes
1 models