Qwen3.5 · 2B
Qwen3.5 2B completed the normal Ollama run and MTP depths one through four.
Qwen3.5 2B completed the normal Ollama run and MTP depths one through four.
It sits between the 0.8B speed result and the slower larger models, making it useful for checking whether MTP behavior changed with model size.
The rows on this page use Q8_0 through Ollama 0.32.1. They describe those exact artifacts and runs, not every version that shares the model name.
The fastest retained generation row is 5.154 tok/s through Ollama 0.32.1 using CPU in Depth 2, MTP off mode. Paired MTP-off baseline for draft depth 2.
The rows below can come from different prompts and methods. Open the full test before treating two numbers as a direct comparison.
| Model and artifact | Runtime and mode | Generation | Prompt | Peak | State | Full test |
|---|---|---|---|---|---|---|
| Qwen3.5 2B Q8_0 | Ollama 0.32.1 CPU · Depth 1, MTP off | 4.891 tok/s | n/a | 78 °C | Published result | MTP depth sweep |
Open result detailsWhy this model is hereQwen3.5 2B completed the normal Ollama run and MTP depths one through four. It sits between the 0.8B speed result and the slower larger models, making it useful for checking whether MTP behavior changed with model size. What ranQ8_0 ran through Ollama 0.32.1 using CPU in Depth 1, MTP off mode on Youyeetoo X1S. Paired MTP-off baseline for draft depth 1. Recorded setup
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| Qwen3.5 2B Q8_0 | Ollama 0.32.1 CPU + draft MTP · Depth 1, MTP on | 3.778 tok/s | n/a | 77 °C | Published result | MTP depth sweep |
Open result detailsWhy this model is hereQwen3.5 2B completed the normal Ollama run and MTP depths one through four. It sits between the 0.8B speed result and the slower larger models, making it useful for checking whether MTP behavior changed with model size. What ranQ8_0 ran through Ollama 0.32.1 using CPU + draft MTP in Depth 1, MTP on mode on Youyeetoo X1S. MTP was active and ran 22.76% slower than its paired baseline. Recorded setup
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| Qwen3.5 2B Q8_0 | Ollama 0.32.1 CPU · Depth 2, MTP off | 5.154 tok/s | n/a | 79 °C | Published result | MTP depth sweep |
Open result detailsWhy this model is hereQwen3.5 2B completed the normal Ollama run and MTP depths one through four. It sits between the 0.8B speed result and the slower larger models, making it useful for checking whether MTP behavior changed with model size. What ranQ8_0 ran through Ollama 0.32.1 using CPU in Depth 2, MTP off mode on Youyeetoo X1S. Paired MTP-off baseline for draft depth 2. Recorded setup
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| Qwen3.5 2B Q8_0 | Ollama 0.32.1 CPU + draft MTP · Depth 2, MTP on | 2.853 tok/s | n/a | 79 °C | Published result | MTP depth sweep |
Open result detailsWhy this model is hereQwen3.5 2B completed the normal Ollama run and MTP depths one through four. It sits between the 0.8B speed result and the slower larger models, making it useful for checking whether MTP behavior changed with model size. What ranQ8_0 ran through Ollama 0.32.1 using CPU + draft MTP in Depth 2, MTP on mode on Youyeetoo X1S. MTP was active and ran 44.65% slower than its paired baseline. Recorded setup
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| Qwen3.5 2B Q8_0 | Ollama 0.32.1 CPU · Depth 3, MTP off | 4.853 tok/s | n/a | 80 °C | Published result | MTP depth sweep |
Open result detailsWhy this model is hereQwen3.5 2B completed the normal Ollama run and MTP depths one through four. It sits between the 0.8B speed result and the slower larger models, making it useful for checking whether MTP behavior changed with model size. What ranQ8_0 ran through Ollama 0.32.1 using CPU in Depth 3, MTP off mode on Youyeetoo X1S. Paired MTP-off baseline for draft depth 3. Recorded setup
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| Qwen3.5 2B Q8_0 | Ollama 0.32.1 CPU + draft MTP · Depth 3, MTP on | 2.599 tok/s | n/a | 80 °C | Published result | MTP depth sweep |
Open result detailsWhy this model is hereQwen3.5 2B completed the normal Ollama run and MTP depths one through four. It sits between the 0.8B speed result and the slower larger models, making it useful for checking whether MTP behavior changed with model size. What ranQ8_0 ran through Ollama 0.32.1 using CPU + draft MTP in Depth 3, MTP on mode on Youyeetoo X1S. MTP was active and ran 46.45% slower than its paired baseline. Recorded setup
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| Qwen3.5 2B Q8_0 | Ollama 0.32.1 CPU · Depth 4, MTP off | 5.121 tok/s | n/a | 80 °C | Published result | MTP depth sweep |
Open result detailsWhy this model is hereQwen3.5 2B completed the normal Ollama run and MTP depths one through four. It sits between the 0.8B speed result and the slower larger models, making it useful for checking whether MTP behavior changed with model size. What ranQ8_0 ran through Ollama 0.32.1 using CPU in Depth 4, MTP off mode on Youyeetoo X1S. Paired MTP-off baseline for draft depth 4. Recorded setup
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| Qwen3.5 2B Q8_0 | Ollama 0.32.1 CPU + draft MTP · Depth 4, MTP on | 1.522 tok/s | n/a | 79 °C | Published result | MTP depth sweep |
Open result detailsWhy this model is hereQwen3.5 2B completed the normal Ollama run and MTP depths one through four. It sits between the 0.8B speed result and the slower larger models, making it useful for checking whether MTP behavior changed with model size. What ranQ8_0 ran through Ollama 0.32.1 using CPU + draft MTP in Depth 4, MTP on mode on Youyeetoo X1S. MTP was active and ran 70.28% slower than its paired baseline. Recorded setup
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| Qwen3.5 2B Q8_0 | Ollama 0.32.1 CPU · Two-run warm average | 4.89 tok/s | n/a | 75 °C | Published result | Additional models |
Open result detailsWhy this model is hereQwen3.5 2B completed the normal Ollama run and MTP depths one through four. It sits between the 0.8B speed result and the slower larger models, making it useful for checking whether MTP behavior changed with model size. What ranQ8_0 ran through Ollama 0.32.1 using CPU in Two-run warm average mode on Youyeetoo X1S. A clean middle-tier CPU result from the normal non-MTP Ollama path. Recorded setup
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2026-08-31
Each on/off pair belongs to its own requested draft depth. Do not compare the baseline from one pair as if it were the same request block as another.
Open full test2026-08-31
The rows use different repetition counts and artifact states. They are useful operating points, not one controlled model-quality contest.
Open full test