Upload save/path/special_config_name2.json with huggingface_hub

save/path/special_config_name2.json

@@ -0,0 +1,109 @@
+{
+    "backend": {
+        "name": "pytorch",
+        "version": "2.1.0+rocm5.6",
+        "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
+        "model": "TheBloke/Mistral-7B-Instruct-v0.1-AWQ",
+        "task": "text-generation",
+        "library": "transformers",
+        "device": "cuda",
+        "device_ids": "0",
+        "seed": 42,
+        "inter_op_num_threads": null,
+        "intra_op_num_threads": null,
+        "hub_kwargs": {
+            "revision": "main",
+            "force_download": false,
+            "local_files_only": false,
+            "trust_remote_code": false
+        },
+        "no_weights": true,
+        "device_map": null,
+        "torch_dtype": null,
+        "amp_autocast": false,
+        "amp_dtype": null,
+        "eval_mode": true,
+        "to_bettertransformer": false,
+        "low_cpu_mem_usage": null,
+        "attn_implementation": null,
+        "cache_implementation": null,
+        "torch_compile": false,
+        "torch_compile_config": {},
+        "quantization_scheme": "awq",
+        "quantization_config": {
+            "version": "exllama"
+        },
+        "deepspeed_inference": false,
+        "deepspeed_inference_config": {},
+        "peft_type": null,
+        "peft_config": {}
+    },
+    "launcher": {
+        "name": "process",
+        "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
+        "device_isolation": false,
+        "start_method": "spawn"
+    },
+    "benchmark": {
+        "name": "inference",
+        "_target_": "optimum_benchmark.benchmarks.inference.benchmark.InferenceBenchmark",
+        "duration": 10,
+        "warmup_runs": 10,
+        "input_shapes": {
+            "batch_size": 4,
+            "num_choices": 2,
+            "sequence_length": 128
+        },
+        "new_tokens": null,
+        "energy": false,
+        "memory": true,
+        "latency": true,
+        "forward_kwargs": {},
+        "generate_kwargs": {
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+            "min_new_tokens": 128
+        },
+        "call_kwargs": {}
+    },
+    "experiment_name": "awq-exllamav2",
+    "task": null,
+    "model": null,
+    "device": null,
+    "library": null,
+    "environment": {
+        "cpu": " AMD EPYC 7763 64-Core Processor",
+        "cpu_count": 128,
+        "cpu_ram_mb": 1082015.236096,
+        "system": "Linux",
+        "machine": "x86_64",
+        "platform": "Linux-5.15.0-84-generic-x86_64-with-glibc2.35",
+        "processor": "x86_64",
+        "python_version": "3.9.18",
+        "gpu": [
+            "AMD INSTINCT MI250 (MCM) OAM AC MBA",
+            "AMD INSTINCT MI250 (MCM) OAM AC MBA",
+            "AMD INSTINCT MI250 (MCM) OAM AC MBA",
+            "AMD INSTINCT MI250 (MCM) OAM AC MBA",
+            "AMD INSTINCT MI250 (MCM) OAM AC MBA",
+            "AMD INSTINCT MI250 (MCM) OAM AC MBA",
+            "AMD INSTINCT MI250 (MCM) OAM AC MBA",
+            "AMD INSTINCT MI250 (MCM) OAM AC MBA"
+        ],
+        "gpu_count": 8,
+        "gpu_vram_mb": 549621596160,
+        "optimum_benchmark_version": "0.2.0",
+        "optimum_benchmark_commit": "09f95ce7707eb32c7880f72cdd9e14e8b7554315",
+        "transformers_version": "4.37.2",
+        "transformers_commit": null,
+        "accelerate_version": "0.24.1",
+        "accelerate_commit": null,
+        "diffusers_version": "0.26.3",
+        "diffusers_commit": null,
+        "optimum_version": "1.14.1",
+        "optimum_commit": null,
+        "timm_version": "0.9.16",
+        "timm_commit": null,
+        "peft_version": "0.8.2",
+        "peft_commit": null
+    }
+}