DeepSeek-OCR 3B Vision Language Model Deployment Guide | Fine-tuning Vision Transformer for Document AI
1 months ago 高效码农DeepSeek-OCR: How to Run & Fine-tune for Real-World Document Intelligence How can you effectively deploy and customize DeepSeek-OCR, a 3B-parameter vision model, to achieve production-grade document understanding with minimal resource overhead? The answer lies in understanding its unique architecture—contextual optical compression that converts 2D layouts into efficient vision tokens—and leveraging two distinct but complementary deployment paths: vLLM for service-oriented stability and Unsloth for performance-optimized inference. This guide walks through both approaches, then demonstrates how just 60 training steps on a domain-specific dataset can slash error rates by 88%, turning a capable generalist into a highly accurate specialist. What Makes DeepSeek-OCR …
GRPO Reinforcement Learning: Boost LLM Reasoning Accuracy 23.5% with Single-GPU Training
6 months ago 高效码农Mastering GRPO Reinforcement Learning: Train Your LLM to Reason Like DeepSeek Using Unsloth Executive Summary: Key Findings Reasoning breakthrough: GRPO increased math reasoning accuracy by 23.5% on GSM8K benchmark Hardware democratization: Unsloth+TRL enables single-GPU training of 14B models, reducing costs by 87% vs traditional PPO Critical insights: 1B models hit reasoning ceilings (PSLE accuracy <20%) Reward function synergy: format + partial correctness > single accuracy reward (+41% convergence speed) Training risks: Incorrect KL penalties trigger reward collapse (observed 17.3% performance degradation) Industry shift: Federated learning solves data silos (Flower AI trials underway) The Reasoning Revolution: Why GRPO Changes Everything The …