|
| 1 | +name: Template - LLaMA 70B |
| 2 | + |
| 3 | +on: |
| 4 | + workflow_call: |
| 5 | + inputs: |
| 6 | + exp-name: |
| 7 | + required: true |
| 8 | + type: string |
| 9 | + isl: |
| 10 | + required: true |
| 11 | + type: string |
| 12 | + osl: |
| 13 | + required: true |
| 14 | + type: string |
| 15 | + max-model-len: |
| 16 | + required: true |
| 17 | + type: string |
| 18 | + random-range-ratio: |
| 19 | + required: true |
| 20 | + type: string |
| 21 | + |
| 22 | + use_h100: |
| 23 | + type: boolean |
| 24 | + required: true |
| 25 | + use_h200: |
| 26 | + type: boolean |
| 27 | + required: true |
| 28 | + use_b200: |
| 29 | + type: boolean |
| 30 | + required: true |
| 31 | + use_mi300x: |
| 32 | + type: boolean |
| 33 | + required: true |
| 34 | + use_mi325x: |
| 35 | + type: boolean |
| 36 | + required: true |
| 37 | + use_mi355x: |
| 38 | + type: boolean |
| 39 | + required: true |
| 40 | + |
| 41 | +jobs: |
| 42 | + bmk-h100-fp8: |
| 43 | + if: ${{ inputs.use_h100 }} |
| 44 | + uses: ./.github/workflows/benchmark-tmpl.yml |
| 45 | + secrets: inherit |
| 46 | + with: |
| 47 | + runner: h100 |
| 48 | + image: 'vllm/vllm-openai:v0.10.2' |
| 49 | + model: 'nvidia/Llama-3.3-70B-Instruct-FP8' |
| 50 | + framework: 'vllm' |
| 51 | + precision: 'fp8' |
| 52 | + exp-name: ${{ inputs.exp-name }} |
| 53 | + isl: ${{ inputs.isl }} |
| 54 | + osl: ${{ inputs.osl }} |
| 55 | + max-model-len: ${{ inputs.max-model-len }} |
| 56 | + random-range-ratio: ${{ inputs.random-range-ratio }} |
| 57 | + tp-list: '[2, 4, 8]' |
| 58 | + |
| 59 | + bmk-h200-fp8: |
| 60 | + if: ${{ inputs.use_h200 }} |
| 61 | + uses: ./.github/workflows/benchmark-tmpl.yml |
| 62 | + secrets: inherit |
| 63 | + with: |
| 64 | + runner: h200 |
| 65 | + image: 'vllm/vllm-openai:v0.10.2' |
| 66 | + model: 'nvidia/Llama-3.3-70B-Instruct-FP8' |
| 67 | + framework: 'vllm' |
| 68 | + precision: 'fp8' |
| 69 | + exp-name: ${{ inputs.exp-name }} |
| 70 | + isl: ${{ inputs.isl }} |
| 71 | + osl: ${{ inputs.osl }} |
| 72 | + max-model-len: ${{ inputs.max-model-len }} |
| 73 | + random-range-ratio: ${{ inputs.random-range-ratio }} |
| 74 | + tp-list: '[1, 2, 4, 8]' |
| 75 | + |
| 76 | + bmk-h200-trt-fp8: |
| 77 | + if: ${{ inputs.use_h200 }} |
| 78 | + uses: ./.github/workflows/benchmark-tmpl.yml |
| 79 | + secrets: inherit |
| 80 | + with: |
| 81 | + runner: h200-trt |
| 82 | + image: 'nvcr.io#nvidia/tensorrt-llm/release:1.1.0rc2.post2' |
| 83 | + model: 'nvidia/Llama-3.3-70B-Instruct-FP8' |
| 84 | + framework: 'trt' |
| 85 | + precision: 'fp8' |
| 86 | + exp-name: ${{ inputs.exp-name }} |
| 87 | + isl: ${{ inputs.isl }} |
| 88 | + osl: ${{ inputs.osl }} |
| 89 | + max-model-len: ${{ inputs.max-model-len }} |
| 90 | + random-range-ratio: ${{ inputs.random-range-ratio }} |
| 91 | + tp-list: '[1, 2, 4, 8]' |
| 92 | + conc-list: '[4, 8, 16, 32, 64, 128]' # H200 can achieve TPS/User >= 30 with larger concurrency till 128 |
| 93 | + |
| 94 | + bmk-b200-fp8: |
| 95 | + if: ${{ inputs.use_b200 }} |
| 96 | + uses: ./.github/workflows/benchmark-tmpl.yml |
| 97 | + secrets: inherit |
| 98 | + with: |
| 99 | + runner: b200 |
| 100 | + image: 'vllm/vllm-openai:v0.10.2' |
| 101 | + model: 'nvidia/Llama-3.3-70B-Instruct-FP8' |
| 102 | + framework: 'vllm' |
| 103 | + precision: 'fp8' |
| 104 | + exp-name: ${{ inputs.exp-name }} |
| 105 | + isl: ${{ inputs.isl }} |
| 106 | + osl: ${{ inputs.osl }} |
| 107 | + max-model-len: ${{ inputs.max-model-len }} |
| 108 | + random-range-ratio: ${{ inputs.random-range-ratio }} |
| 109 | + tp-list: '[1, 2, 4, 8]' # fix: add TP=2,4 to B200, just as mi355 has |
| 110 | + |
| 111 | + bmk-b200-trt-fp8: |
| 112 | + if: ${{ inputs.use_b200 }} |
| 113 | + uses: ./.github/workflows/benchmark-tmpl.yml |
| 114 | + secrets: inherit |
| 115 | + with: |
| 116 | + runner: b200-trt |
| 117 | + image: 'nvcr.io#nvidia/tensorrt-llm/release:1.1.0rc2.post2' |
| 118 | + model: 'nvidia/Llama-3.3-70B-Instruct-FP8' |
| 119 | + framework: 'trt' |
| 120 | + precision: 'fp8' |
| 121 | + exp-name: ${{ inputs.exp-name }} |
| 122 | + isl: ${{ inputs.isl }} |
| 123 | + osl: ${{ inputs.osl }} |
| 124 | + max-model-len: ${{ inputs.max-model-len }} |
| 125 | + random-range-ratio: ${{ inputs.random-range-ratio }} |
| 126 | + tp-list: '[1, 2, 4, 8]' # fix: add TP=2,4 to B200, just as mi355 has |
| 127 | + conc-list: '[4, 8, 16, 32, 64, 128]' # B200 can achieve TPS/User >= 30 with larger concurrency till 256 |
| 128 | + |
| 129 | + bmk-mi300x-fp8: |
| 130 | + if: ${{ inputs.use_mi300x }} |
| 131 | + uses: ./.github/workflows/benchmark-tmpl.yml |
| 132 | + secrets: inherit |
| 133 | + with: |
| 134 | + runner: mi300x |
| 135 | + image: 'rocm/7.0:rocm7.0_ubuntu_22.04_vllm_0.10.1_instinct_20250927_rc1' |
| 136 | + model: 'amd/Llama-3.3-70B-Instruct-FP8-KV' |
| 137 | + framework: 'vllm' |
| 138 | + precision: 'fp8' |
| 139 | + exp-name: ${{ inputs.exp-name }} |
| 140 | + isl: ${{ inputs.isl }} |
| 141 | + osl: ${{ inputs.osl }} |
| 142 | + max-model-len: ${{ inputs.max-model-len }} |
| 143 | + random-range-ratio: ${{ inputs.random-range-ratio }} |
| 144 | + tp-list: '[1, 2, 4, 8]' |
| 145 | + |
| 146 | + bmk-mi325x-fp8: |
| 147 | + if: ${{ inputs.use_mi325x }} |
| 148 | + uses: ./.github/workflows/benchmark-tmpl.yml |
| 149 | + secrets: inherit |
| 150 | + with: |
| 151 | + runner: mi325x |
| 152 | + image: 'rocm/7.0:rocm7.0_ubuntu_22.04_vllm_0.10.1_instinct_20250927_rc1' |
| 153 | + model: 'amd/Llama-3.3-70B-Instruct-FP8-KV' |
| 154 | + framework: 'vllm' |
| 155 | + precision: 'fp8' |
| 156 | + exp-name: ${{ inputs.exp-name }} |
| 157 | + isl: ${{ inputs.isl }} |
| 158 | + osl: ${{ inputs.osl }} |
| 159 | + max-model-len: ${{ inputs.max-model-len }} |
| 160 | + random-range-ratio: ${{ inputs.random-range-ratio }} |
| 161 | + tp-list: '[1, 2, 4, 8]' |
| 162 | + |
| 163 | + bmk-mi355x-fp8: |
| 164 | + if: ${{ inputs.use_mi355x }} |
| 165 | + uses: ./.github/workflows/benchmark-tmpl.yml |
| 166 | + secrets: inherit |
| 167 | + with: |
| 168 | + runner: mi355x |
| 169 | + image: 'rocm/7.0:rocm7.0_ubuntu_22.04_vllm_0.10.1_instinct_20250927_rc1' |
| 170 | + model: 'amd/Llama-3.3-70B-Instruct-FP8-KV' |
| 171 | + framework: 'vllm' |
| 172 | + precision: 'fp8' |
| 173 | + exp-name: ${{ inputs.exp-name }} |
| 174 | + isl: ${{ inputs.isl }} |
| 175 | + osl: ${{ inputs.osl }} |
| 176 | + max-model-len: ${{ inputs.max-model-len }} |
| 177 | + random-range-ratio: ${{ inputs.random-range-ratio }} |
| 178 | + tp-list: '[1, 2, 4, 8]' |
| 179 | + |
| 180 | + bmk-b200-fp4: |
| 181 | + if: ${{ inputs.use_b200 }} |
| 182 | + uses: ./.github/workflows/benchmark-tmpl.yml |
| 183 | + secrets: inherit |
| 184 | + with: |
| 185 | + runner: b200 |
| 186 | + image: 'vllm/vllm-openai:v0.10.2' |
| 187 | + model: 'nvidia/Llama-3.3-70B-Instruct-FP4' |
| 188 | + framework: 'vllm' |
| 189 | + precision: 'fp4' |
| 190 | + exp-name: ${{ inputs.exp-name }} |
| 191 | + isl: ${{ inputs.isl }} |
| 192 | + osl: ${{ inputs.osl }} |
| 193 | + max-model-len: ${{ inputs.max-model-len }} |
| 194 | + random-range-ratio: ${{ inputs.random-range-ratio }} |
| 195 | + tp-list: '[1, 2, 4, 8]' # fix: add TP=2,4 to B200, just as mi355 has |
| 196 | + |
| 197 | + bmk-b200-trt-fp4: |
| 198 | + if: ${{ inputs.use_b200 }} |
| 199 | + uses: ./.github/workflows/benchmark-tmpl.yml |
| 200 | + secrets: inherit |
| 201 | + with: |
| 202 | + runner: b200-trt |
| 203 | + image: 'nvcr.io#nvidia/tensorrt-llm/release:1.1.0rc2.post2' |
| 204 | + model: 'nvidia/Llama-3.3-70B-Instruct-FP4' |
| 205 | + framework: 'trt' |
| 206 | + precision: 'fp4' |
| 207 | + exp-name: ${{ inputs.exp-name }} |
| 208 | + isl: ${{ inputs.isl }} |
| 209 | + osl: ${{ inputs.osl }} |
| 210 | + max-model-len: ${{ inputs.max-model-len }} |
| 211 | + random-range-ratio: ${{ inputs.random-range-ratio }} |
| 212 | + tp-list: '[1, 2, 4, 8]' # fix: add TP=2,4 to B200, just as mi355 has |
| 213 | + conc-list: '[4, 8, 16, 32, 64, 128]' # B200 can achieve TPS/User >= 30 with larger concurrency till 128 |
| 214 | + |
| 215 | + bmk-mi355x-fp4: |
| 216 | + if: ${{ inputs.use_mi355x }} |
| 217 | + uses: ./.github/workflows/benchmark-tmpl.yml |
| 218 | + secrets: inherit |
| 219 | + with: |
| 220 | + runner: mi355x |
| 221 | + image: 'rocm/7.0:rocm7.0_ubuntu_22.04_vllm_0.10.1_instinct_20250927_rc1' |
| 222 | + model: 'amd/Llama-3.3-70B-Instruct-MXFP4-Preview' |
| 223 | + framework: 'vllm' |
| 224 | + precision: 'fp4' |
| 225 | + exp-name: ${{ inputs.exp-name }} |
| 226 | + isl: ${{ inputs.isl }} |
| 227 | + osl: ${{ inputs.osl }} |
| 228 | + max-model-len: ${{ inputs.max-model-len }} |
| 229 | + random-range-ratio: ${{ inputs.random-range-ratio }} |
| 230 | + tp-list: '[1, 2, 4, 8]' |
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