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AM-Thinking-v1 - AI Language Models Tool

Overview

AM-Thinking-v1 is a 32B dense language model based on Qwen 2.5-32B-Base, optimized for improved reasoning. It uses a post-training pipeline with supervised fine-tuning and dual-stage reinforcement learning to strengthen performance on reasoning tasks while running efficiently on a single GPU.

Key Features

  • 32 billion parameter dense language model
  • Built on Qwen 2.5-32B-Base architecture
  • Post-training supervised fine-tuning applied
  • Dual-stage reinforcement learning pipeline
  • Enhanced reasoning for code, logic, and writing
  • Designed for efficient single-GPU operation

Ideal Use Cases

  • Code generation and assistant workflows
  • Solving logic and reasoning problems
  • Drafting and editing long-form writing
  • Research on reasoning-focused model behavior
  • Deployments constrained to a single GPU

Getting Started

  • Visit the model page on Hugging Face using the provided URL
  • Read the model card and available documentation
  • Download or access model artifacts per instructions on the page
  • Evaluate the model with representative reasoning prompts
  • Integrate into your inference pipeline or fine-tune as needed

Pricing

Pricing not disclosed in the provided information.

Limitations

  • No pricing details provided in the source information
  • No published benchmark scores or quantified performance metrics included
  • Licensing and deployment constraints are not specified

Key Information

  • Category: Language Models
  • Type: AI Language Models Tool
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