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Qwen2.5-Coder-7B-Instruct

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Has anyone deployed Qwen2.5-Coder-7B-Instruct in a production environment? I'm particularly interested in:

1. Memory optimization: What quantization approaches (4-bit, 8-bit) work best while maintaining code generation quality?

2. Inference speed: Typical latency for code completion tasks on different hardware (A100, V100, consumer GPUs)?

3. Context window handling: Best practices for managing the 128K context window in real-world applications?

4. Fine-tuning considerations: Has anyone successfully fine-tuned this model for domain-specific code generation?

Would appreciate any insights from the community on production deployment experiences.