@@ -70,6 +70,7 @@ codellama/CodeLlama-34b-Python-hf
7070mistralai/Mistral-7B-v0.1
7171mistralai/Mistral-7B-Instruct-v0.1
7272mistralai/Mistral-7B-Instruct-v0.2
73+ meta-llama/Meta-Llama-3-8B
7374```
7475
7576For example, to convert Llama-2-7b-chat-hf
@@ -89,6 +90,8 @@ Benchmarks run on an 8xA100-80GB, power limited to 330W with a hybrid cube mesh
8990| Llama-2-70B | Base | OOM ||
9091| | 8-bit | 19.13 | 1322.58 |
9192| | 4-bit (G=32) | 25.25 | 1097.66 |
93+ | Llama-3-8B | Base | 94.25 | 1411.95 |
94+ | | 8-bit | 139.55 | 1047.23 |
9295
9396### Speculative Sampling
9497[ Verifier: Llama-70B (int4), Draft: Llama-7B (int4)] ( ./scripts/speculate_70B_int4.sh ) : 48.4 tok/s
@@ -104,6 +107,10 @@ Benchmarks run on an 8xA100-80GB, power limited to 330W with a hybrid cube mesh
104107| | 2 | 21.32 | 1481.87 |
105108| | 4 | 38.01 | 1340.76 |
106109| | 8 | 62.50 | 1135.29 |
110+ | Llama-3-8B | 1 | 94.19 | 1411.76 |
111+ | | 2 | 150.48 | 1208.80 |
112+ | | 4 | 219.77 | 991.63 |
113+ | | 8 | 274.65 | 768.55 |
107114
108115### Tensor Parallelism + Quantization
109116| Model | Technique | Tokens/Second | Memory Bandwidth (GB/s) |
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