CptnPrice/Qwen-3.5-9B-MTP

General conditions:

• 32k context tokens.
• Only GPU inference. No swaping/offloading.
• Q8 KV cache quantization.
• Flash Atention.
• Evaluation Batch Size at 2048.
• Physical Batch Size at 512.
• MMAP and GPU KV cache offloading.
• 1 concurrent requests.
• Q3_K_XL
• Nvidia RTX 4070 Laptop

MTP conditions:

• Max draft tokens = 5
• Min draft tokens = 0
• Draft probability = 0.85

Platform:

• ML Studio / CUDA 12 LLama.CPP

Results:

• No quality tradeoff from base Alibaba's qwen 3.5 9B at Q4.

• From 60 to 70 t/s depending on the code workload and the amount of context.

• Enterprise speed feeling when used as harness model (claude code, open code and github copilot).