RTX 4050 Laptop GPU × Pythia 14m
Pythia 14m on RTX 4050 Laptop GPU
697best gen tok/s
101,949best prompt tok/s
640max context tested
2results
Measured · all numbers below come from the linked sources
llama.cpp
2 tiny/test model result(s) (excluded from headlines)
| Quant | Gen tok/s | Prompt tok/s | Source | Context tested | TTFT | Build |
|---|---|---|---|---|---|---|
| Q4_K - Medium | 697 | 101,949 | LocalScore ↗ | 512+128 | 15 ms | llamafile 0.9.3 |
| Q4_K - Medium | 643 | 101,046 | LocalScore ↗ | 512+128 | 16 ms | llamafile 0.9.3 |
Ollama
No measured Ollama results yet. Submit yours →
MLX
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"Context tested" is the largest prompt+generation length actually benchmarked (tokens), not a memory-fit estimate.
What else can RTX 4050 Laptop GPU run? →
Includes results from LocalScore, a Mozilla Builders project by cjpais, mirrored in the cn0303/local-llm-speed-benchmarks dataset. LocalScore runs use llamafile, which is built on llama.cpp.