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symrex/Qwable-v1-oQ8-mtp
Qwable-v1-oQ8-mtp is a machine learning model from symrex. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for mlx.
This model was quantized using oQ (oMLX v0.4.4) mixed-precision quantization.
Downloads · 30 days
8
4% of all-time downloads
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How the weights are stored.
U3235.5B · 99%
From the Hugging Face model README
This model was quantized using oQ (oMLX v0.4.4) mixed-precision quantization.
oMLX - LLM inference, optimized for your Mac
https://github.com/jundot/omlx
Benchmark Model: Qwable-v1-oQ8-mtp
Engine: Force mlx-lm
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Single Request Results
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Test TTFT(ms) TPOT(ms) pp TPS tg TPS E2E(s) Throughput Peak Mem
pp1024/tg128 775.4 10.63 1320.6 tok/s 94.8 tok/s 2.125 542.1 tok/s 35.38 GB
pp4096/tg128 2454.4 10.86 1668.8 tok/s 92.8 tok/s 3.834 1101.7 tok/s 36.16 GB
pp8192/tg128 4894.9 11.11 1673.6 tok/s 90.7 tok/s 6.306 1319.4 tok/s 36.50 GB
pp16384/tg128 10506.6 11.80 1559.4 tok/s 85.4 tok/s 12.006 1375.4 tok/s 37.13 GB
pp32768/tg128 24482.0 12.69 1338.5 tok/s 79.4 tok/s 26.093 1260.7 tok/s 38.47 GB
pp65536/tg128 63223.4 14.87 1036.6 tok/s 67.8 tok/s 65.112 1008.5 tok/s 41.15 GB
pp131072/tg128 190082.3 19.00 689.6 tok/s 53.0 tok/s 192.496 681.6 tok/s 46.53 GB
pp200000/tg128 395018.9 23.64 506.3 tok/s 42.6 tok/s 398.021 502.8 tok/s 52.19 GB
Continuous Batching
pp1024 / tg128
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Batch tg TPS Speedup pp TPS pp TPS/req TTFT(ms) E2E(s)
1x 94.8 tok/s 1.00x 1320.6 tok/s 1320.6 tok/s 775.4 2.125
2x 140.2 tok/s 1.48x 821.5 tok/s 410.8 tok/s 2493.0 4.319
4x 200.5 tok/s 2.11x 1498.1 tok/s 374.5 tok/s 2614.5 5.288
8x 257.6 tok/s 2.72x 1487.3 tok/s 185.9 tok/s 5128.2 9.483
Intelligence Benchmark Comparison
Mode Sampled Qwable-v1-oQ8-mtp
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MMLU Sample 1000/14042 89.6%
TRUTHFULQA Full 817 88.9%
HUMANEVAL Full 164 86.0%
MBPP Sample 200/500 69.5%
LIVECODEBENCH Sample 300/1055 49.3%
--- Detail ---
Model: Qwable-v1-oQ8-mtp
Benchmark Accuracy Correct Total Time(s) Think
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MMLU 89.6% 896 1000 3046.7 Yes
TRUTHFULQA 88.9% 726 817 1518.2 Yes
HUMANEVAL 86.0% 141 164 1218.3 Yes
MBPP 69.5% 139 200 1691.5 Yes
LIVECODEBENCH 49.3% 148 300 11606.2 Yes