Benchmark result
unsloth/Llama-3.2-1B-Instruct-GGUF on AMD Radeon Vega Series / Radeon Vega Mobile Series — 22.7 tok/s
Measured with Unsloth Studio on November 13, 2026.
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What the model built
Open full screen →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.
How this run compares
2nd fastest of 2 runs of this model on AMD Radeon Vega Series / Radeon Vega Mobile Series · median 24.2 tok/s.
sort
- 125.7tok/s17.2Unsloth Studio · Q8_0 · KV f16
- 222.7tok/s26.3Unsloth Studio · Q8_0 · KV f16this run
Reproduce this run
toolUnsloth Studio
modelunsloth/Llama-3.2-1B-Instruct-GGUF (Q8_0)
context16,384
kv cachef16 (assumed default)
think limitnone
samplingtemperature 1.5 · top_p 0.95 · top_k -1 · min_p 0.1 · presence_penalty 0
clientv0.4.99+102
Set those in Unsloth Studio, then:
llm-benchmark benchmark --model "unsloth/Llama-3.2-1B-Instruct-GGUF" --tool "Unsloth Studio"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.