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AM-Thinking-v1 - AI Language Models Tool

Overview

AM-Thinking-v1 is a 32B dense language model built on Qwen 2.5-32B-Base, focused on improving reasoning capabilities. Its post-training pipeline uses supervised fine-tuning and dual-stage reinforcement learning to boost performance on reasoning tasks while running efficiently on a single GPU.

Key Features

  • 32B-parameter dense language model
  • Built on Qwen 2.5-32B-Base
  • Post-training supervised fine-tuning
  • Dual-stage reinforcement learning in post-training pipeline
  • Optimized for code generation, logic, and writing
  • Operates efficiently on a single GPU

Ideal Use Cases

  • Code generation and reasoning tasks
  • Logical problem solving and chain-of-thought tasks
  • Long-form writing and structured content generation
  • Research and prototyping of reasoning-focused models
  • Single-GPU inference for resource-constrained deployments

Getting Started

  • Open the model page on Hugging Face
  • Read the model card for capabilities and limitations
  • Follow Hugging Face instructions to download or pull the model
  • Run inference on a single GPU to validate reasoning performance
  • Adjust prompts and evaluate outputs for desired behaviors

Pricing

Pricing not disclosed on the provided model data. Check the Hugging Face listing or contact the model maintainers for licensing and cost.

Limitations

  • No benchmark scores or quantitative evaluations provided in description
  • Pricing and licensing details are not disclosed
  • Tags and additional metadata are not included in the provided context
  • Optimized for single-GPU use; may require adaptation for large distributed deployments

Key Information

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