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Copy pathmodels.json
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2316 lines (2316 loc) · 57.5 KB
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[
{
"name": "pyt_huggingface_gpt2",
"url": "https://github.com/huggingface/transformers",
"dockerfile": "docker/pyt_huggingface",
"scripts": "scripts/huggingface_gpt2/run.sh",
"n_gpus": "-1",
"owner": "mad.support@amd.com",
"training_precision": "fp16",
"tags": [
"pyt",
"fp16",
"gpt2"
],
"args": ""
},
{
"name": "pyt_huggingface_bert",
"url": "https://github.com/huggingface/transformers",
"dockerfile": "docker/pyt_huggingface",
"scripts": "scripts/huggingface_bert/run.sh",
"n_gpus": "-1",
"owner": "mad.support@amd.com",
"training_precision": "",
"tags": [
"pyt",
"bert"
],
"args": ""
},
{
"name": "pyt_vllm_deepseek-r1",
"url": "",
"dockerfile": "docker/pyt_vllm",
"scripts": "scripts/vllm/run.sh",
"data": "huggingface",
"n_gpus": "-1",
"owner": "mad.support@amd.com",
"training_precision": "",
"multiple_results": "perf_DeepSeek-R1-0528.csv",
"tags": [
"pyt",
"vllm",
"vllm_default",
"inference"
],
"timeout": -1,
"args":
"--model_repo deepseek-ai/DeepSeek-R1-0528 --config configs/default.yaml"
},
{
"name": "pyt_vllm_gpt-oss-20b",
"url": "",
"dockerfile": "docker/pyt_vllm",
"scripts": "scripts/vllm/run.sh",
"data": "huggingface",
"n_gpus": "-1",
"owner": "mad.support@amd.com",
"training_precision": "",
"multiple_results": "perf_gpt-oss-20b.csv",
"tags": [
"pyt",
"vllm",
"vllm_extended",
"inference"
],
"timeout": -1,
"args":
"--model_repo openai/gpt-oss-20b --config configs/extended.yaml"
},
{
"name": "pyt_vllm_gpt-oss-120b",
"url": "",
"dockerfile": "docker/pyt_vllm",
"scripts": "scripts/vllm/run.sh",
"data": "huggingface",
"n_gpus": "-1",
"owner": "mad.support@amd.com",
"training_precision": "",
"multiple_results": "perf_gpt-oss-120b.csv",
"tags": [
"pyt",
"vllm",
"vllm_default",
"inference"
],
"timeout": -1,
"args":
"--model_repo openai/gpt-oss-120b --config configs/default.yaml"
},
{
"name": "pyt_vllm_llama-2-70b",
"url": "",
"dockerfile": "docker/pyt_vllm",
"scripts": "scripts/vllm/run.sh",
"data": "huggingface",
"n_gpus": "-1",
"owner": "mad.support@amd.com",
"training_precision": "",
"multiple_results": "perf_Llama-2-70b-chat-hf.csv",
"tags": [
"pyt",
"vllm",
"vllm_extended",
"inference"
],
"timeout": -1,
"args":
"--model_repo meta-llama/Llama-2-70b-chat-hf --config configs/extended.yaml"
},
{
"name": "pyt_vllm_llama-3.1-8b",
"url": "",
"dockerfile": "docker/pyt_vllm",
"scripts": "scripts/vllm/run.sh",
"data": "huggingface",
"n_gpus": "-1",
"owner": "mad.support@amd.com",
"training_precision": "",
"multiple_results": "perf_Llama-3.1-8B-Instruct.csv",
"tags": [
"pyt",
"vllm",
"vllm_extended",
"inference"
],
"timeout": -1,
"args":
"--model_repo meta-llama/Llama-3.1-8B-Instruct --config configs/extended.yaml"
},
{
"name": "pyt_vllm_llama-3.1-8b_fp8",
"url": "",
"dockerfile": "docker/pyt_vllm",
"scripts": "scripts/vllm/run.sh",
"data": "huggingface",
"n_gpus": "-1",
"owner": "mad.support@amd.com",
"training_precision": "",
"multiple_results": "perf_Llama-3.1-8B-Instruct-FP8-KV.csv",
"tags": [
"pyt",
"vllm",
"vllm_extended",
"inference"
],
"timeout": -1,
"args":
"--model_repo amd/Llama-3.1-8B-Instruct-FP8-KV --config configs/extended.yaml"
},
{
"name": "pyt_vllm_llama-3.1-405b",
"url": "",
"dockerfile": "docker/pyt_vllm",
"scripts": "scripts/vllm/run.sh",
"data": "huggingface",
"n_gpus": "-1",
"owner": "mad.support@amd.com",
"training_precision": "",
"multiple_results": "perf_Llama-3.1-405B-Instruct.csv",
"tags": [
"pyt",
"vllm",
"vllm_default",
"inference"
],
"timeout": -1,
"args":
"--model_repo meta-llama/Llama-3.1-405B-Instruct --config configs/default.yaml"
},
{
"name": "pyt_vllm_llama-3.1-405b_fp8",
"url": "",
"dockerfile": "docker/pyt_vllm",
"scripts": "scripts/vllm/run.sh",
"data": "huggingface",
"n_gpus": "-1",
"owner": "mad.support@amd.com",
"training_precision": "",
"multiple_results": "perf_Llama-3.1-405B-Instruct-FP8-KV.csv",
"tags": [
"pyt",
"vllm",
"vllm_default",
"inference"
],
"timeout": -1,
"args":
"--model_repo amd/Llama-3.1-405B-Instruct-FP8-KV --config configs/default.yaml"
},
{
"name": "pyt_vllm_llama-3.1-405b_fp4",
"url": "",
"dockerfile": "docker/pyt_vllm",
"scripts": "scripts/vllm/run.sh",
"data": "huggingface",
"n_gpus": "-1",
"owner": "mad.support@amd.com",
"training_precision": "",
"multiple_results": "perf_Llama-3.1-405B-Instruct-MXFP4-Preview.csv",
"tags": [
"pyt",
"vllm",
"vllm_default",
"inference"
],
"timeout": -1,
"skip_gpu_arch": "gfx942",
"args":
"--model_repo amd/Llama-3.1-405B-Instruct-MXFP4-Preview --config configs/default.yaml"
},
{
"name": "pyt_vllm_llama-3.3-70b",
"url": "",
"dockerfile": "docker/pyt_vllm",
"scripts": "scripts/vllm/run.sh",
"data": "huggingface",
"n_gpus": "-1",
"owner": "mad.support@amd.com",
"training_precision": "",
"multiple_results": "perf_Llama-3.3-70B-Instruct.csv",
"tags": [
"pyt",
"vllm",
"vllm_default",
"inference"
],
"timeout": -1,
"args":
"--model_repo meta-llama/Llama-3.3-70B-Instruct --config configs/default.yaml"
},
{
"name": "pyt_vllm_llama-3.3-70b_fp8",
"url": "",
"dockerfile": "docker/pyt_vllm",
"scripts": "scripts/vllm/run.sh",
"data": "huggingface",
"n_gpus": "-1",
"owner": "mad.support@amd.com",
"training_precision": "",
"multiple_results": "perf_Llama-3.3-70B-Instruct-FP8-KV.csv",
"tags": [
"pyt",
"vllm",
"vllm_default",
"inference"
],
"timeout": -1,
"args":
"--model_repo amd/Llama-3.3-70B-Instruct-FP8-KV --config configs/default.yaml"
},
{
"name": "pyt_vllm_llama-3.3-70b_fp4",
"url": "",
"dockerfile": "docker/pyt_vllm",
"scripts": "scripts/vllm/run.sh",
"data": "huggingface",
"n_gpus": "-1",
"owner": "mad.support@amd.com",
"training_precision": "",
"multiple_results": "perf_Llama-3.3-70B-Instruct-MXFP4-Preview.csv",
"tags": [
"pyt",
"vllm",
"vllm_default",
"inference"
],
"timeout": -1,
"skip_gpu_arch": "gfx942",
"args":
"--model_repo amd/Llama-3.3-70B-Instruct-MXFP4-Preview --config configs/default.yaml"
},
{
"name": "pyt_vllm_llama-4-scout-17b-16e",
"url": "",
"dockerfile": "docker/pyt_vllm",
"scripts": "scripts/vllm/run.sh",
"data": "huggingface",
"n_gpus": "-1",
"owner": "mad.support@amd.com",
"training_precision": "",
"multiple_results": "perf_Llama-4-Scout-17B-16E-Instruct.csv",
"tags": [
"pyt",
"vllm",
"vllm_extended",
"inference"
],
"timeout": -1,
"args":
"--model_repo meta-llama/Llama-4-Scout-17B-16E-Instruct --config configs/extended.yaml"
},
{
"name": "pyt_vllm_llama-4-maverick-17b-128e",
"url": "",
"dockerfile": "docker/pyt_vllm",
"scripts": "scripts/vllm/run.sh",
"data": "huggingface",
"n_gpus": "-1",
"owner": "mad.support@amd.com",
"training_precision": "",
"multiple_results": "perf_Llama-4-Maverick-17B-128E-Instruct.csv",
"tags": [
"pyt",
"vllm",
"vllm_extended",
"inference"
],
"timeout": -1,
"args":
"--model_repo meta-llama/Llama-4-Maverick-17B-128E-Instruct --config configs/extended.yaml"
},
{
"name": "pyt_vllm_llama-4-maverick-17b-128e_fp8",
"url": "",
"dockerfile": "docker/pyt_vllm",
"scripts": "scripts/vllm/run.sh",
"data": "huggingface",
"n_gpus": "-1",
"owner": "mad.support@amd.com",
"training_precision": "",
"multiple_results": "perf_Llama-4-Maverick-17B-128E-Instruct-FP8.csv",
"tags": [
"pyt",
"vllm",
"vllm_default",
"inference"
],
"timeout": -1,
"args":
"--model_repo meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8 --config configs/default.yaml"
},
{
"name": "pyt_vllm_mixtral-8x7b",
"url": "",
"dockerfile": "docker/pyt_vllm",
"scripts": "scripts/vllm/run.sh",
"data": "huggingface",
"n_gpus": "-1",
"owner": "mad.support@amd.com",
"training_precision": "",
"multiple_results": "perf_Mixtral-8x7B-Instruct-v0.1.csv",
"tags": [
"pyt",
"vllm",
"inference"
],
"timeout": -1,
"args":
"--model_repo mistralai/Mixtral-8x7B-Instruct-v0.1 --config configs/extended.yaml"
},
{
"name": "pyt_vllm_mixtral-8x7b_fp8",
"url": "",
"dockerfile": "docker/pyt_vllm",
"scripts": "scripts/vllm/run.sh",
"data": "huggingface",
"n_gpus": "-1",
"owner": "mad.support@amd.com",
"training_precision": "",
"multiple_results": "perf_Mixtral-8x7B-Instruct-v0.1-FP8-KV.csv",
"tags": [
"pyt",
"vllm",
"inference"
],
"timeout": -1,
"args":
"--model_repo amd/Mixtral-8x7B-Instruct-v0.1-FP8-KV --config configs/extended.yaml"
},
{
"name": "pyt_vllm_mixtral-8x22b",
"url": "",
"dockerfile": "docker/pyt_vllm",
"scripts": "scripts/vllm/run.sh",
"data": "huggingface",
"n_gpus": "-1",
"owner": "mad.support@amd.com",
"training_precision": "",
"multiple_results": "perf_Mixtral-8x22B-Instruct-v0.1.csv",
"tags": [
"pyt",
"vllm",
"vllm_default",
"inference"
],
"timeout": -1,
"args":
"--model_repo mistralai/Mixtral-8x22B-Instruct-v0.1 --config configs/default.yaml"
},
{
"name": "pyt_vllm_mixtral-8x22b_fp8",
"url": "",
"dockerfile": "docker/pyt_vllm",
"scripts": "scripts/vllm/run.sh",
"data": "huggingface",
"n_gpus": "-1",
"owner": "mad.support@amd.com",
"training_precision": "",
"multiple_results": "perf_Mixtral-8x22B-Instruct-v0.1-FP8-KV.csv",
"tags": [
"pyt",
"vllm",
"vllm_default",
"inference"
],
"timeout": -1,
"args":
"--model_repo amd/Mixtral-8x22B-Instruct-v0.1-FP8-KV --config configs/default.yaml"
},
{
"name": "pyt_vllm_phi-4",
"url": "",
"dockerfile": "docker/pyt_vllm",
"scripts": "scripts/vllm/run.sh",
"data": "huggingface",
"n_gpus": "1",
"owner": "mad.support@amd.com",
"training_precision": "",
"multiple_results": "perf_phi-4.csv",
"tags": [
"pyt",
"vllm",
"vllm_extended",
"inference"
],
"timeout": -1,
"args":
"--model_repo microsoft/phi-4 --config configs/extended.yaml"
},
{
"name": "pyt_vllm_qwen3-8b",
"data": "huggingface",
"dockerfile": "docker/pyt_vllm",
"scripts": "scripts/vllm/run.sh",
"n_gpus": "-1",
"owner": "mad.support@amd.com",
"training_precision": "",
"multiple_results": "perf_Qwen3-8B.csv",
"tags": [
"pyt",
"vllm",
"vllm_extended",
"inference"
],
"timeout": -1,
"args":
"--model_repo Qwen/Qwen3-8B --config configs/extended.yaml"
},
{
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