Auto Model Detection, Simplified Args, and Overflow Safeguards

[guoqingbao]

This PR includes three major improvements:

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1) Automatic model type detection

The model type is now automatically inferred based on the input path or file, significantly simplifying usage.

Examples:

Safetensors model:

cargo run --release --features cuda,nccl -- --w /home/phi3-3.8b

GGUF model:

cargo run --release --features cuda,nccl -- --f /home/DeepSeek-R1-Distill-Llama-8B-Q2_K.gguf

Multi-rank inference:
Automatically enables multi-process mode (via daemon processes):

cargo run --release --features cuda,nccl -- --w /home/QwQ-32B/ --d 4,5,6,7

ISQ inference:

cargo run --release --features cuda,nccl -- --w /home/phi3-3.8b --isq q4k

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2) Simplified CLI parameters for improved usability

To make the command-line interface more concise and user-friendly, key arguments have been shortened:

• Safetensors model path: --weight-path → --w
• GGUF model path: --weight-file → --f
• Model ID: --model-id → --m
• Device IDs: --device-ids → --d
• Server port: --port → --p

Also:

• The --multi-process flag has been removed. Multi-process mode is now automatically enabled for multi-rank inference.
• To force multithreaded execution (e.g., for easier debugging), use the --multithread flag.

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3) Improved safeguards against overflow

This update introduces a mechanism to prevent generation overflow.
It checks the available KV cache and model context length before accepting new requests, ensuring that inputs exceeding the model’s capacity are rejected early and safely.