Downloads · 30 days
25
7% of all-time downloads
mlx-works/Laguna-XS-2.1-oQ2
Laguna-XS-2.1-oQ2 is a machine learning model from mlx-works. 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 v0.5.4) mixed-precision quantization.
Downloads · 30 days
25
7% of all-time downloads
All-time downloads
361
Public
Parameters
33.4B
11.8 GB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors11.8 GB · 100%
How the weights are stored.
U3233.4B · 100%
From the Hugging Face model README
This model was quantized using oQ (oMLX v0.5.4) mixed-precision quantization.
Base model: poolside/Laguna-XS-2.1
Note: Results are for reference only and may vary depending on hardware, software configuration, and workload.
| Test | TTFT(ms) | TPOT(ms) | pp TPS | tg TPS | E2E(s) | Throughput | Peak Mem |
|---|---|---|---|---|---|---|---|
| pp1024/tg128 | 1201.1 | 20.47 | 853.4 tok/s | 49.2 tok/s | 3.812 | 302.5 tok/s | 11.51 GB |
| pp4096/tg128 | 5103.7 | 22.63 | 802.8 tok/s | 44.5 tok/s | 7.987 | 529.0 tok/s | 11.64 GB |
| Batch | tg TPS | Speedup | pp TPS | pp TPS/req | TTFT(ms) | E2E(s) |
|---|---|---|---|---|---|---|
| 1x | 49.2 tok/s | 1.00x | 853.4 tok/s | 853.4 tok/s | 1201.1 | 3.812 |
| 2x | 65.1 tok/s | 1.32x | 764.1 tok/s | 382.1 tok/s | 2680.3 | 6.615 |
| 4x | 94.6 tok/s | 1.92x | 1226.5 tok/s | 306.6 tok/s | 3254.9 | 8.750 |
Note: Each benchmark round tests only 30 questions. Results are for reference only.
| Benchmark | Accuracy | Correct | Total | Time(s) | Think |
|---|---|---|---|---|---|
| MMLU | 30.0% | 9 | 30 | 74.6 | No |
| TRUTHFULQA | 56.7% | 17 | 30 | 55.6 | No |
| GSM8K | 86.7% | 26 | 30 | 134.7 | No |
| MATHQA | 20.0% | 6 | 30 | 97 | No |
| HUMANEVAL | 76.7% | 23 | 30 | 106.7 | No |