Benchmark result

nnl-qwen2.5-0.5b-chatgpt-lora-v1 on AMD Radeon RX 7900 XTX — 254.6 tok/s

Measured with llama.cpp+NNL-LoRA manual on October 20, 2026.

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What the model built

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The coding scenario asks for a playable game in a single HTML file. This is exactly what the model returned, unedited; the frame only adds a line that tells this page how tall it is.

Reproduce this run

toolllama.cpp+NNL-LoRA manual
modelnnl-qwen2.5-0.5b-chatgpt-lora-v1
context8,192
clientv0.4.96+102

Set those in llama.cpp+NNL-LoRA, then:

llm-benchmark benchmark --model "nnl-qwen2.5-0.5b-chatgpt-lora-v1" --tool "llama.cpp+NNL-LoRA"

The client prompts for context length and thinking mode, and for the KV cache dtype on Unsloth Studio. Sampling is left at the model default — the values above are what the tool reported using, not overrides the client sent.