use "nvidia/Llama-3.1-Nemotron-70B-Instruct-HF".
```
PYTHONPATH=. JITBEAM=2 python3 examples/llama3.py --download_model --size 70B --quantize int8 --benchmark
```
on M4 Max, 40 sec to load the model and
```
enqueue in 165.15 ms
total 328.54 ms, 3.04 tok/s, 247.46 GB/s, param 221.20 GB/s
enqueue in 5.31 ms
total 168.48 ms, 5.94 tok/s, 482.54 GB/s, param 431.34 GB/s
enqueue in 5.32 ms
total 168.77 ms, 5.93 tok/s, 481.71 GB/s, param 430.60 GB/s
enqueue in 5.69 ms
total 169.51 ms, 5.90 tok/s, 479.61 GB/s, param 428.72 GB/s
enqueue in 5.41 ms
total 168.60 ms, 5.93 tok/s, 482.20 GB/s, param 431.04 GB/s
enqueue in 5.18 ms
total 168.98 ms, 5.92 tok/s, 481.12 GB/s, param 430.08 GB/s
enqueue in 5.43 ms
total 168.82 ms, 5.92 tok/s, 481.59 GB/s, param 430.49 GB/s
enqueue in 5.27 ms
total 168.94 ms, 5.92 tok/s, 481.23 GB/s, param 430.17 GB/s
```
