Track simulator fidelity experiment artifacts
This commit is contained in:
@@ -0,0 +1,12 @@
|
||||
{
|
||||
"flashinfer_metadata_version": "0.3.1.post1",
|
||||
"flashinfer_path": "/tmp/wjh-frontier-vllm0102-smoke/.venv/lib/python3.12/site-packages/flashinfer/__init__.py",
|
||||
"frontier_metadata_version": "0.1.0",
|
||||
"frontier_path": "/home/admin/cpfs/wjh/frontier-community-qwen235-smoke-20260715/Frontier-d9cfeb6/frontier",
|
||||
"python": "3.12.3",
|
||||
"torch": "2.8.0+cu128",
|
||||
"torch_cuda": "12.8",
|
||||
"vllm_import_version": "0.10.2",
|
||||
"vllm_metadata_version": "0.10.2",
|
||||
"vllm_path": "/tmp/wjh-frontier-vllm0102-smoke/.venv/lib/python3.12/site-packages/vllm/__init__.py"
|
||||
}
|
||||
@@ -0,0 +1,9 @@
|
||||
{
|
||||
"flashinfer-python": "0.3.1.post1",
|
||||
"frontier-simulator": "0.1.0",
|
||||
"python": "3.12.3",
|
||||
"tokenizers": "0.21.4",
|
||||
"torch": "2.8.0",
|
||||
"transformers": "4.55.2",
|
||||
"vllm": "0.10.2"
|
||||
}
|
||||
@@ -0,0 +1,2 @@
|
||||
5184cb3f458685616364a09db28eee1603af26d58894073428a67ab677d655f5 /home/admin/cpfs/wjh/frontier-community-qwen235-smoke-20260715/provenance/environment.post_transformers_pin.json
|
||||
2d17f91ca22ed56dbffc4549972814be911901f321963f8f07a2b940df191340 /home/admin/cpfs/wjh/frontier-community-qwen235-smoke-20260715/provenance/requirements.freeze.txt
|
||||
@@ -0,0 +1,12 @@
|
||||
{
|
||||
"flashinfer_metadata_version": "0.3.1.post1",
|
||||
"flashinfer_path": "/tmp/wjh-frontier-vllm0102-smoke/.venv/lib/python3.12/site-packages/flashinfer/__init__.py",
|
||||
"frontier_metadata_version": "0.1.0",
|
||||
"frontier_path": "/home/admin/cpfs/wjh/frontier-community-qwen235-smoke-20260715/Frontier-d9cfeb6/frontier",
|
||||
"python": "3.12.3",
|
||||
"torch": "2.8.0+cu128",
|
||||
"torch_cuda": "12.8",
|
||||
"vllm_import_version": "0.10.2",
|
||||
"vllm_metadata_version": "0.10.2",
|
||||
"vllm_path": "/tmp/wjh-frontier-vllm0102-smoke/.venv/lib/python3.12/site-packages/vllm/__init__.py"
|
||||
}
|
||||
@@ -0,0 +1,2 @@
|
||||
8564395327d10aff62c48e0e4fb74bdd050d17faed3d8d3948ff2e96e767d03a /home/admin/cpfs/wjh/frontier-community-qwen235-smoke-20260715/provenance/environment.json
|
||||
a931219d3038697371775d2e5d797321adefc4ca48da2ab5999e1206e17a3881 /home/admin/cpfs/wjh/frontier-community-qwen235-smoke-20260715/provenance/requirements.freeze.txt
|
||||
@@ -0,0 +1,332 @@
|
||||
{
|
||||
"architectures": [
|
||||
"Qwen3MoeForCausalLM"
|
||||
],
|
||||
"attention_bias": false,
|
||||
"attention_dropout": 0.0,
|
||||
"bos_token_id": 151643,
|
||||
"decoder_sparse_step": 1,
|
||||
"eos_token_id": 151645,
|
||||
"head_dim": 128,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 4096,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 12288,
|
||||
"max_position_embeddings": 40960,
|
||||
"max_window_layers": 94,
|
||||
"mlp_only_layers": [],
|
||||
"model_type": "qwen3_moe",
|
||||
"moe_intermediate_size": 1536,
|
||||
"norm_topk_prob": true,
|
||||
"num_attention_heads": 64,
|
||||
"num_experts": 128,
|
||||
"num_experts_per_tok": 8,
|
||||
"num_hidden_layers": 94,
|
||||
"num_key_value_heads": 4,
|
||||
"output_router_logits": false,
|
||||
"rms_norm_eps": 1e-06,
|
||||
"rope_scaling": null,
|
||||
"rope_theta": 1000000.0,
|
||||
"router_aux_loss_coef": 0.001,
|
||||
"sliding_window": null,
|
||||
"tie_word_embeddings": false,
|
||||
"torch_dtype": "bfloat16",
|
||||
"transformers_version": "4.51.0",
|
||||
"use_cache": true,
|
||||
"use_sliding_window": false,
|
||||
"vocab_size": 151936,
|
||||
"quantization_config": {
|
||||
"activation_scheme": "dynamic",
|
||||
"modules_to_not_convert": [
|
||||
"lm_head",
|
||||
"model.layers.0.input_layernorm",
|
||||
"model.layers.0.mlp.gate",
|
||||
"model.layers.0.post_attention_layernorm",
|
||||
"model.layers.1.input_layernorm",
|
||||
"model.layers.1.mlp.gate",
|
||||
"model.layers.1.post_attention_layernorm",
|
||||
"model.layers.2.input_layernorm",
|
||||
"model.layers.2.mlp.gate",
|
||||
"model.layers.2.post_attention_layernorm",
|
||||
"model.layers.3.input_layernorm",
|
||||
"model.layers.3.mlp.gate",
|
||||
"model.layers.3.post_attention_layernorm",
|
||||
"model.layers.4.input_layernorm",
|
||||
"model.layers.4.mlp.gate",
|
||||
"model.layers.4.post_attention_layernorm",
|
||||
"model.layers.5.input_layernorm",
|
||||
"model.layers.5.mlp.gate",
|
||||
"model.layers.5.post_attention_layernorm",
|
||||
"model.layers.6.input_layernorm",
|
||||
"model.layers.6.mlp.gate",
|
||||
"model.layers.6.post_attention_layernorm",
|
||||
"model.layers.7.input_layernorm",
|
||||
"model.layers.7.mlp.gate",
|
||||
"model.layers.7.post_attention_layernorm",
|
||||
"model.layers.8.input_layernorm",
|
||||
"model.layers.8.mlp.gate",
|
||||
"model.layers.8.post_attention_layernorm",
|
||||
"model.layers.9.input_layernorm",
|
||||
"model.layers.9.mlp.gate",
|
||||
"model.layers.9.post_attention_layernorm",
|
||||
"model.layers.10.input_layernorm",
|
||||
"model.layers.10.mlp.gate",
|
||||
"model.layers.10.post_attention_layernorm",
|
||||
"model.layers.11.input_layernorm",
|
||||
"model.layers.11.mlp.gate",
|
||||
"model.layers.11.post_attention_layernorm",
|
||||
"model.layers.12.input_layernorm",
|
||||
"model.layers.12.mlp.gate",
|
||||
"model.layers.12.post_attention_layernorm",
|
||||
"model.layers.13.input_layernorm",
|
||||
"model.layers.13.mlp.gate",
|
||||
"model.layers.13.post_attention_layernorm",
|
||||
"model.layers.14.input_layernorm",
|
||||
"model.layers.14.mlp.gate",
|
||||
"model.layers.14.post_attention_layernorm",
|
||||
"model.layers.15.input_layernorm",
|
||||
"model.layers.15.mlp.gate",
|
||||
"model.layers.15.post_attention_layernorm",
|
||||
"model.layers.16.input_layernorm",
|
||||
"model.layers.16.mlp.gate",
|
||||
"model.layers.16.post_attention_layernorm",
|
||||
"model.layers.17.input_layernorm",
|
||||
"model.layers.17.mlp.gate",
|
||||
"model.layers.17.post_attention_layernorm",
|
||||
"model.layers.18.input_layernorm",
|
||||
"model.layers.18.mlp.gate",
|
||||
"model.layers.18.post_attention_layernorm",
|
||||
"model.layers.19.input_layernorm",
|
||||
"model.layers.19.mlp.gate",
|
||||
"model.layers.19.post_attention_layernorm",
|
||||
"model.layers.20.input_layernorm",
|
||||
"model.layers.20.mlp.gate",
|
||||
"model.layers.20.post_attention_layernorm",
|
||||
"model.layers.21.input_layernorm",
|
||||
"model.layers.21.mlp.gate",
|
||||
"model.layers.21.post_attention_layernorm",
|
||||
"model.layers.22.input_layernorm",
|
||||
"model.layers.22.mlp.gate",
|
||||
"model.layers.22.post_attention_layernorm",
|
||||
"model.layers.23.input_layernorm",
|
||||
"model.layers.23.mlp.gate",
|
||||
"model.layers.23.post_attention_layernorm",
|
||||
"model.layers.24.input_layernorm",
|
||||
"model.layers.24.mlp.gate",
|
||||
"model.layers.24.post_attention_layernorm",
|
||||
"model.layers.25.input_layernorm",
|
||||
"model.layers.25.mlp.gate",
|
||||
"model.layers.25.post_attention_layernorm",
|
||||
"model.layers.26.input_layernorm",
|
||||
"model.layers.26.mlp.gate",
|
||||
"model.layers.26.post_attention_layernorm",
|
||||
"model.layers.27.input_layernorm",
|
||||
"model.layers.27.mlp.gate",
|
||||
"model.layers.27.post_attention_layernorm",
|
||||
"model.layers.28.input_layernorm",
|
||||
"model.layers.28.mlp.gate",
|
||||
"model.layers.28.post_attention_layernorm",
|
||||
"model.layers.29.input_layernorm",
|
||||
"model.layers.29.mlp.gate",
|
||||
"model.layers.29.post_attention_layernorm",
|
||||
"model.layers.30.input_layernorm",
|
||||
"model.layers.30.mlp.gate",
|
||||
"model.layers.30.post_attention_layernorm",
|
||||
"model.layers.31.input_layernorm",
|
||||
"model.layers.31.mlp.gate",
|
||||
"model.layers.31.post_attention_layernorm",
|
||||
"model.layers.32.input_layernorm",
|
||||
"model.layers.32.mlp.gate",
|
||||
"model.layers.32.post_attention_layernorm",
|
||||
"model.layers.33.input_layernorm",
|
||||
"model.layers.33.mlp.gate",
|
||||
"model.layers.33.post_attention_layernorm",
|
||||
"model.layers.34.input_layernorm",
|
||||
"model.layers.34.mlp.gate",
|
||||
"model.layers.34.post_attention_layernorm",
|
||||
"model.layers.35.input_layernorm",
|
||||
"model.layers.35.mlp.gate",
|
||||
"model.layers.35.post_attention_layernorm",
|
||||
"model.layers.36.input_layernorm",
|
||||
"model.layers.36.mlp.gate",
|
||||
"model.layers.36.post_attention_layernorm",
|
||||
"model.layers.37.input_layernorm",
|
||||
"model.layers.37.mlp.gate",
|
||||
"model.layers.37.post_attention_layernorm",
|
||||
"model.layers.38.input_layernorm",
|
||||
"model.layers.38.mlp.gate",
|
||||
"model.layers.38.post_attention_layernorm",
|
||||
"model.layers.39.input_layernorm",
|
||||
"model.layers.39.mlp.gate",
|
||||
"model.layers.39.post_attention_layernorm",
|
||||
"model.layers.40.input_layernorm",
|
||||
"model.layers.40.mlp.gate",
|
||||
"model.layers.40.post_attention_layernorm",
|
||||
"model.layers.41.input_layernorm",
|
||||
"model.layers.41.mlp.gate",
|
||||
"model.layers.41.post_attention_layernorm",
|
||||
"model.layers.42.input_layernorm",
|
||||
"model.layers.42.mlp.gate",
|
||||
"model.layers.42.post_attention_layernorm",
|
||||
"model.layers.43.input_layernorm",
|
||||
"model.layers.43.mlp.gate",
|
||||
"model.layers.43.post_attention_layernorm",
|
||||
"model.layers.44.input_layernorm",
|
||||
"model.layers.44.mlp.gate",
|
||||
"model.layers.44.post_attention_layernorm",
|
||||
"model.layers.45.input_layernorm",
|
||||
"model.layers.45.mlp.gate",
|
||||
"model.layers.45.post_attention_layernorm",
|
||||
"model.layers.46.input_layernorm",
|
||||
"model.layers.46.mlp.gate",
|
||||
"model.layers.46.post_attention_layernorm",
|
||||
"model.layers.47.input_layernorm",
|
||||
"model.layers.47.mlp.gate",
|
||||
"model.layers.47.post_attention_layernorm",
|
||||
"model.layers.48.input_layernorm",
|
||||
"model.layers.48.mlp.gate",
|
||||
"model.layers.48.post_attention_layernorm",
|
||||
"model.layers.49.input_layernorm",
|
||||
"model.layers.49.mlp.gate",
|
||||
"model.layers.49.post_attention_layernorm",
|
||||
"model.layers.50.input_layernorm",
|
||||
"model.layers.50.mlp.gate",
|
||||
"model.layers.50.post_attention_layernorm",
|
||||
"model.layers.51.input_layernorm",
|
||||
"model.layers.51.mlp.gate",
|
||||
"model.layers.51.post_attention_layernorm",
|
||||
"model.layers.52.input_layernorm",
|
||||
"model.layers.52.mlp.gate",
|
||||
"model.layers.52.post_attention_layernorm",
|
||||
"model.layers.53.input_layernorm",
|
||||
"model.layers.53.mlp.gate",
|
||||
"model.layers.53.post_attention_layernorm",
|
||||
"model.layers.54.input_layernorm",
|
||||
"model.layers.54.mlp.gate",
|
||||
"model.layers.54.post_attention_layernorm",
|
||||
"model.layers.55.input_layernorm",
|
||||
"model.layers.55.mlp.gate",
|
||||
"model.layers.55.post_attention_layernorm",
|
||||
"model.layers.56.input_layernorm",
|
||||
"model.layers.56.mlp.gate",
|
||||
"model.layers.56.post_attention_layernorm",
|
||||
"model.layers.57.input_layernorm",
|
||||
"model.layers.57.mlp.gate",
|
||||
"model.layers.57.post_attention_layernorm",
|
||||
"model.layers.58.input_layernorm",
|
||||
"model.layers.58.mlp.gate",
|
||||
"model.layers.58.post_attention_layernorm",
|
||||
"model.layers.59.input_layernorm",
|
||||
"model.layers.59.mlp.gate",
|
||||
"model.layers.59.post_attention_layernorm",
|
||||
"model.layers.60.input_layernorm",
|
||||
"model.layers.60.mlp.gate",
|
||||
"model.layers.60.post_attention_layernorm",
|
||||
"model.layers.61.input_layernorm",
|
||||
"model.layers.61.mlp.gate",
|
||||
"model.layers.61.post_attention_layernorm",
|
||||
"model.layers.62.input_layernorm",
|
||||
"model.layers.62.mlp.gate",
|
||||
"model.layers.62.post_attention_layernorm",
|
||||
"model.layers.63.input_layernorm",
|
||||
"model.layers.63.mlp.gate",
|
||||
"model.layers.63.post_attention_layernorm",
|
||||
"model.layers.64.input_layernorm",
|
||||
"model.layers.64.mlp.gate",
|
||||
"model.layers.64.post_attention_layernorm",
|
||||
"model.layers.65.input_layernorm",
|
||||
"model.layers.65.mlp.gate",
|
||||
"model.layers.65.post_attention_layernorm",
|
||||
"model.layers.66.input_layernorm",
|
||||
"model.layers.66.mlp.gate",
|
||||
"model.layers.66.post_attention_layernorm",
|
||||
"model.layers.67.input_layernorm",
|
||||
"model.layers.67.mlp.gate",
|
||||
"model.layers.67.post_attention_layernorm",
|
||||
"model.layers.68.input_layernorm",
|
||||
"model.layers.68.mlp.gate",
|
||||
"model.layers.68.post_attention_layernorm",
|
||||
"model.layers.69.input_layernorm",
|
||||
"model.layers.69.mlp.gate",
|
||||
"model.layers.69.post_attention_layernorm",
|
||||
"model.layers.70.input_layernorm",
|
||||
"model.layers.70.mlp.gate",
|
||||
"model.layers.70.post_attention_layernorm",
|
||||
"model.layers.71.input_layernorm",
|
||||
"model.layers.71.mlp.gate",
|
||||
"model.layers.71.post_attention_layernorm",
|
||||
"model.layers.72.input_layernorm",
|
||||
"model.layers.72.mlp.gate",
|
||||
"model.layers.72.post_attention_layernorm",
|
||||
"model.layers.73.input_layernorm",
|
||||
"model.layers.73.mlp.gate",
|
||||
"model.layers.73.post_attention_layernorm",
|
||||
"model.layers.74.input_layernorm",
|
||||
"model.layers.74.mlp.gate",
|
||||
"model.layers.74.post_attention_layernorm",
|
||||
"model.layers.75.input_layernorm",
|
||||
"model.layers.75.mlp.gate",
|
||||
"model.layers.75.post_attention_layernorm",
|
||||
"model.layers.76.input_layernorm",
|
||||
"model.layers.76.mlp.gate",
|
||||
"model.layers.76.post_attention_layernorm",
|
||||
"model.layers.77.input_layernorm",
|
||||
"model.layers.77.mlp.gate",
|
||||
"model.layers.77.post_attention_layernorm",
|
||||
"model.layers.78.input_layernorm",
|
||||
"model.layers.78.mlp.gate",
|
||||
"model.layers.78.post_attention_layernorm",
|
||||
"model.layers.79.input_layernorm",
|
||||
"model.layers.79.mlp.gate",
|
||||
"model.layers.79.post_attention_layernorm",
|
||||
"model.layers.80.input_layernorm",
|
||||
"model.layers.80.mlp.gate",
|
||||
"model.layers.80.post_attention_layernorm",
|
||||
"model.layers.81.input_layernorm",
|
||||
"model.layers.81.mlp.gate",
|
||||
"model.layers.81.post_attention_layernorm",
|
||||
"model.layers.82.input_layernorm",
|
||||
"model.layers.82.mlp.gate",
|
||||
"model.layers.82.post_attention_layernorm",
|
||||
"model.layers.83.input_layernorm",
|
||||
"model.layers.83.mlp.gate",
|
||||
"model.layers.83.post_attention_layernorm",
|
||||
"model.layers.84.input_layernorm",
|
||||
"model.layers.84.mlp.gate",
|
||||
"model.layers.84.post_attention_layernorm",
|
||||
"model.layers.85.input_layernorm",
|
||||
"model.layers.85.mlp.gate",
|
||||
"model.layers.85.post_attention_layernorm",
|
||||
"model.layers.86.input_layernorm",
|
||||
"model.layers.86.mlp.gate",
|
||||
"model.layers.86.post_attention_layernorm",
|
||||
"model.layers.87.input_layernorm",
|
||||
"model.layers.87.mlp.gate",
|
||||
"model.layers.87.post_attention_layernorm",
|
||||
"model.layers.88.input_layernorm",
|
||||
"model.layers.88.mlp.gate",
|
||||
"model.layers.88.post_attention_layernorm",
|
||||
"model.layers.89.input_layernorm",
|
||||
"model.layers.89.mlp.gate",
|
||||
"model.layers.89.post_attention_layernorm",
|
||||
"model.layers.90.input_layernorm",
|
||||
"model.layers.90.mlp.gate",
|
||||
"model.layers.90.post_attention_layernorm",
|
||||
"model.layers.91.input_layernorm",
|
||||
"model.layers.91.mlp.gate",
|
||||
"model.layers.91.post_attention_layernorm",
|
||||
"model.layers.92.input_layernorm",
|
||||
"model.layers.92.mlp.gate",
|
||||
"model.layers.92.post_attention_layernorm",
|
||||
"model.layers.93.input_layernorm",
|
||||
"model.layers.93.mlp.gate",
|
||||
"model.layers.93.post_attention_layernorm"
|
||||
],
|
||||
"fmt": "e4m3",
|
||||
"quant_method": "fp8",
|
||||
"weight_block_size": [
|
||||
128,
|
||||
128
|
||||
]
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,2 @@
|
||||
702c46d431bb984db9035a1225186bbfdb52c0d19c82104df4a37cd005e0369e /home/admin/cpfs/wjh/frontier-community-qwen235-smoke-20260715/provenance/model_config.original.json
|
||||
1d7389f77563bb26bdb8cad077f9ae81f94dbe0b7f2e51cc72f7f4ff0f550acb /home/admin/cpfs/wjh/frontier-community-qwen235-smoke-20260715/Frontier-d9cfeb6/data/config/models/Qwen3-235B-A22B-FP8.json
|
||||
@@ -0,0 +1,2 @@
|
||||
{'name': 'Qwen3-235B-A22B-FP8', 'num_layers': 94, 'num_q_heads': 64, 'num_kv_heads': 4, 'embedding_dim': 4096, 'mlp_hidden_dim': 1536, 'max_position_embeddings': 40960, 'use_gated_mlp': True, 'use_bias': False, 'use_qkv_bias': False, 'activation': 'silu', 'norm': 'rms_norm', 'post_attn_norm': True, 'vocab_size': 151936, 'is_neox_style': True, 'rope_theta': 1000000.0, 'rope_scaling': None, 'partial_rotary_factor': 1.0, 'no_tensor_parallel': False, 'is_moe': True, 'num_experts': 128, 'num_experts_per_tok': 8, 'moe_layers_enum': None, 'use_qk_norm': True, 'attn_output_gate': False, 'rms_norm_eps': 1e-06, 'dtype': 'BF16', 'model_type': 'qwen3_moe', 'fused_add_norm_capability': True, 'model_arch': 'generic', 'share_expert_dim': None, 'share_q_dim': None, 'head_dim': 128, 'quantization_config': {'quant_method': 'fp8', 'activation_scheme': 'dynamic', 'is_checkpoint_fp8_serialized': True, 'weight_block_size': (128, 128), 'ignored_layers': []}, 'tie_word_embeddings': False}
|
||||
{'tp_size': 4, 'attn_enabled': True, 'ffn_enabled': True, 'attn_sharded_enabled': True, 'ffn_sharded_enabled': True, 'replicated_enabled': True, 'disable_replicated': False, 'enabled_ops': ['input_layernorm', 'post_attention_layernorm', 'add', 'emb', 'attn_pre_proj', 'attn_rope', 'attn_post_proj'], 'disabled_ops': [], 'replicated_ops': ['input_layernorm', 'post_attention_layernorm', 'add', 'emb'], 'padded_n_embd': 4096, 'padded_n_expanded_embd': 1536, 'skip_reasons': []}
|
||||
@@ -0,0 +1 @@
|
||||
4459cca6fe7f01c44477460ccca85ec1f2a0eacdc764170c68fa02a102f4104e /home/admin/cpfs/wjh/frontier-community-qwen235-smoke-20260715/provenance/platform.txt
|
||||
@@ -0,0 +1,99 @@
|
||||
captured_utc=2026-07-15T09:34:36Z
|
||||
ds-07429c65-1-6c5fd97778-9vhkr
|
||||
Linux ds-07429c65-1-6c5fd97778-9vhkr 5.10.134-013.8.2.kangaroo.al8.x86_64 #1 SMP Thu Mar 12 10:20:37 UTC 2026 x86_64 x86_64 x86_64 GNU/Linux
|
||||
PRETTY_NAME="Ubuntu 24.04.2 LTS"
|
||||
NAME="Ubuntu"
|
||||
VERSION_ID="24.04"
|
||||
VERSION="24.04.2 LTS (Noble Numbat)"
|
||||
VERSION_CODENAME=noble
|
||||
ID=ubuntu
|
||||
ID_LIKE=debian
|
||||
HOME_URL="https://www.ubuntu.com/"
|
||||
SUPPORT_URL="https://help.ubuntu.com/"
|
||||
BUG_REPORT_URL="https://bugs.launchpad.net/ubuntu/"
|
||||
PRIVACY_POLICY_URL="https://www.ubuntu.com/legal/terms-and-policies/privacy-policy"
|
||||
UBUNTU_CODENAME=noble
|
||||
LOGO=ubuntu-logo
|
||||
Architecture: x86_64
|
||||
CPU op-mode(s): 32-bit, 64-bit
|
||||
Address sizes: 52 bits physical, 57 bits virtual
|
||||
Byte Order: Little Endian
|
||||
CPU(s): 160
|
||||
On-line CPU(s) list: 0-159
|
||||
Vendor ID: GenuineIntel
|
||||
Model name: Intel(R) Xeon(R) Processor
|
||||
CPU family: 6
|
||||
Model: 143
|
||||
Thread(s) per core: 1
|
||||
Core(s) per socket: 80
|
||||
Socket(s): 2
|
||||
Stepping: 8
|
||||
BogoMIPS: 5200.00
|
||||
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc cpuid tsc_known_freq pni pclmulqdq ssse3 fma cx16 pdcm pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch cpuid_fault invpcid_single ssbd ibrs ibpb stibp ibrs_enhanced fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves avx_vnni avx512_bf16 wbnoinvd avx512vbmi umip pku waitpkg avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq la57 rdpid cldemote movdiri movdir64b fsrm md_clear serialize tsxldtrk amx_bf16 avx512_fp16 amx_tile amx_int8 arch_capabilities
|
||||
Hypervisor vendor: KVM
|
||||
Virtualization type: full
|
||||
L1d cache: 3.8 MiB (80 instances)
|
||||
L1i cache: 2.5 MiB (80 instances)
|
||||
L2 cache: 160 MiB (80 instances)
|
||||
L3 cache: 195 MiB (2 instances)
|
||||
NUMA node(s): 2
|
||||
NUMA node0 CPU(s): 0-79
|
||||
NUMA node1 CPU(s): 80-159
|
||||
Vulnerability Itlb multihit: Not affected
|
||||
Vulnerability L1tf: Not affected
|
||||
Vulnerability Mds: Not affected
|
||||
Vulnerability Meltdown: Not affected
|
||||
Vulnerability Mmio stale data: Not affected
|
||||
Vulnerability Retbleed: Not affected
|
||||
Vulnerability Spec rstack overflow: Not affected
|
||||
Vulnerability Spec store bypass: Vulnerable
|
||||
Vulnerability Spectre v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers
|
||||
Vulnerability Spectre v2: Vulnerable, IBPB: disabled, STIBP: disabled, PBRSB-eIBRS: Vulnerable
|
||||
Vulnerability Srbds: Not affected
|
||||
Vulnerability Tsx async abort: Not affected
|
||||
0, NVIDIA H20, GPU-ad3e049a-5bf0-44b7-e7f1-9af297b172af, 580.95.05, 97871 MiB, 9.0
|
||||
1, NVIDIA H20, GPU-8c088079-d0f5-ba23-8650-5e6b1436691f, 580.95.05, 97871 MiB, 9.0
|
||||
2, NVIDIA H20, GPU-a9f6fe67-324b-8bb2-19b3-c7f1b9cce96a, 580.95.05, 97871 MiB, 9.0
|
||||
3, NVIDIA H20, GPU-6bcd68b7-ffa7-26b5-df6a-b7eb3f65c901, 580.95.05, 97871 MiB, 9.0
|
||||
4, NVIDIA H20, GPU-b409f9c9-05b6-55ef-3f3b-12eaa7c6ebfe, 580.95.05, 97871 MiB, 9.0
|
||||
5, NVIDIA H20, GPU-56932433-efce-8215-6418-98166d8ab798, 580.95.05, 97871 MiB, 9.0
|
||||
6, NVIDIA H20, GPU-ddcd1b77-e38d-75f5-ac24-788c76e56c89, 580.95.05, 97871 MiB, 9.0
|
||||
7, NVIDIA H20, GPU-9b4a31bd-5e78-b5a7-55aa-d786ae5a3f21, 580.95.05, 97871 MiB, 9.0
|
||||
[4mGPU0 GPU1 GPU2 GPU3 GPU4 GPU5 GPU6 GPU7 NIC0 NIC1 NIC2 NIC3 CPU Affinity NUMA Affinity GPU NUMA ID[0m
|
||||
GPU0 X NV18 NV18 NV18 NV18 NV18 NV18 NV18 PIX PHB SYS SYS 0-79 0 N/A
|
||||
GPU1 NV18 X NV18 NV18 NV18 NV18 NV18 NV18 PXB PHB SYS SYS 0-79 0 N/A
|
||||
GPU2 NV18 NV18 X NV18 NV18 NV18 NV18 NV18 PHB PIX SYS SYS 0-79 0 N/A
|
||||
GPU3 NV18 NV18 NV18 X NV18 NV18 NV18 NV18 PHB PXB SYS SYS 0-79 0 N/A
|
||||
GPU4 NV18 NV18 NV18 NV18 X NV18 NV18 NV18 SYS SYS PIX PHB 80-159 1 N/A
|
||||
GPU5 NV18 NV18 NV18 NV18 NV18 X NV18 NV18 SYS SYS PXB PHB 80-159 1 N/A
|
||||
GPU6 NV18 NV18 NV18 NV18 NV18 NV18 X NV18 SYS SYS PHB PIX 80-159 1 N/A
|
||||
GPU7 NV18 NV18 NV18 NV18 NV18 NV18 NV18 X SYS SYS PHB PXB 80-159 1 N/A
|
||||
NIC0 PIX PXB PHB PHB SYS SYS SYS SYS X PHB SYS SYS
|
||||
NIC1 PHB PHB PIX PXB SYS SYS SYS SYS PHB X SYS SYS
|
||||
NIC2 SYS SYS SYS SYS PIX PXB PHB PHB SYS SYS X PHB
|
||||
NIC3 SYS SYS SYS SYS PHB PHB PIX PXB SYS SYS PHB X
|
||||
|
||||
Legend:
|
||||
|
||||
X = Self
|
||||
SYS = Connection traversing PCIe as well as the SMP interconnect between NUMA nodes (e.g., QPI/UPI)
|
||||
NODE = Connection traversing PCIe as well as the interconnect between PCIe Host Bridges within a NUMA node
|
||||
PHB = Connection traversing PCIe as well as a PCIe Host Bridge (typically the CPU)
|
||||
PXB = Connection traversing multiple PCIe bridges (without traversing the PCIe Host Bridge)
|
||||
PIX = Connection traversing at most a single PCIe bridge
|
||||
NV# = Connection traversing a bonded set of # NVLinks
|
||||
|
||||
NIC Legend:
|
||||
|
||||
NIC0: mlx5_0
|
||||
NIC1: mlx5_1
|
||||
NIC2: mlx5_2
|
||||
NIC3: mlx5_3
|
||||
|
||||
nvcc: NVIDIA (R) Cuda compiler driver
|
||||
Copyright (c) 2005-2025 NVIDIA Corporation
|
||||
Built on Tue_May_27_02:21:03_PDT_2025
|
||||
Cuda compilation tools, release 12.9, V12.9.86
|
||||
Build cuda_12.9.r12.9/compiler.36037853_0
|
||||
gcc (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0
|
||||
ldd (Ubuntu GLIBC 2.39-0ubuntu8.4) 2.39
|
||||
@@ -0,0 +1 @@
|
||||
2d17f91ca22ed56dbffc4549972814be911901f321963f8f07a2b940df191340 /home/admin/cpfs/wjh/frontier-community-qwen235-smoke-20260715/provenance/requirements.freeze.txt
|
||||
@@ -0,0 +1,163 @@
|
||||
aiohappyeyeballs==2.7.1
|
||||
aiohttp==3.14.1
|
||||
aiosignal==1.4.0
|
||||
annotated-doc==0.0.4
|
||||
annotated-types==0.7.0
|
||||
anyio==4.14.2
|
||||
astor==0.8.1
|
||||
attrs==26.1.0
|
||||
blake3==1.0.9
|
||||
cachetools==7.1.4
|
||||
cbor2==6.1.3
|
||||
certifi==2026.6.17
|
||||
cffi==2.1.0
|
||||
charset-normalizer==3.4.9
|
||||
click==8.4.2
|
||||
cloudpickle==3.1.2
|
||||
compressed-tensors==0.11.0
|
||||
cuda-pathfinder==1.5.6
|
||||
cupy-cuda12x==14.1.1
|
||||
ddsketch==3.0.1
|
||||
depyf==0.19.0
|
||||
detect-installer==0.1.0
|
||||
dill==0.4.1
|
||||
diskcache==5.6.3
|
||||
distro==1.9.0
|
||||
dnspython==2.8.0
|
||||
einops==0.8.2
|
||||
email-validator==2.3.0
|
||||
fastapi==0.139.0
|
||||
fastapi-cli==0.0.29
|
||||
fastapi-cloud-cli==0.22.2
|
||||
fastar==0.11.0
|
||||
fasteners==0.20
|
||||
filelock==3.29.7
|
||||
flashinfer-python==0.3.1.post1
|
||||
-e file:///home/admin/cpfs/wjh/frontier-community-qwen235-smoke-20260715/Frontier-d9cfeb6
|
||||
frozendict==2.4.7
|
||||
frozenlist==1.8.0
|
||||
fsspec==2026.6.0
|
||||
gguf==0.19.0
|
||||
h11==0.16.0
|
||||
hf-xet==1.5.1
|
||||
httpcore==1.0.9
|
||||
httptools==0.8.0
|
||||
httpx==0.28.1
|
||||
huggingface-hub==0.36.2
|
||||
idna==3.18
|
||||
iniconfig==2.3.0
|
||||
interegular==0.3.3
|
||||
jinja2==3.1.6
|
||||
jiter==0.16.0
|
||||
joblib==1.5.3
|
||||
jsonschema==4.26.0
|
||||
jsonschema-specifications==2025.9.1
|
||||
lark==1.2.2
|
||||
llguidance==0.7.30
|
||||
llvmlite==0.44.0
|
||||
lm-format-enforcer==0.11.3
|
||||
markdown-it-py==4.2.0
|
||||
markupsafe==3.0.3
|
||||
mdurl==0.1.2
|
||||
mistral-common==1.11.5
|
||||
mpmath==1.3.0
|
||||
msgpack==1.2.1
|
||||
msgspec==0.21.1
|
||||
multidict==6.7.1
|
||||
narwhals==2.24.0
|
||||
networkx==3.6.1
|
||||
ninja==1.13.0
|
||||
numba==0.61.2
|
||||
numpy==2.2.6
|
||||
nvidia-cublas-cu12==12.8.4.1
|
||||
nvidia-cuda-cupti-cu12==12.8.90
|
||||
nvidia-cuda-nvrtc-cu12==12.8.93
|
||||
nvidia-cuda-runtime-cu12==12.8.90
|
||||
nvidia-cudnn-cu12==9.10.2.21
|
||||
nvidia-cudnn-frontend==1.26.0
|
||||
nvidia-cufft-cu12==11.3.3.83
|
||||
nvidia-cufile-cu12==1.13.1.3
|
||||
nvidia-curand-cu12==10.3.9.90
|
||||
nvidia-cusolver-cu12==11.7.3.90
|
||||
nvidia-cusparse-cu12==12.5.8.93
|
||||
nvidia-cusparselt-cu12==0.7.1
|
||||
nvidia-ml-py==13.610.43
|
||||
nvidia-nccl-cu12==2.27.3
|
||||
nvidia-nvjitlink-cu12==12.8.93
|
||||
nvidia-nvtx-cu12==12.8.90
|
||||
openai==2.45.0
|
||||
openai-harmony==0.0.8
|
||||
opencv-python-headless==5.0.0.93
|
||||
outlines-core==0.2.11
|
||||
packaging==26.2
|
||||
pandas==3.0.3
|
||||
partial-json-parser==0.2.1.1.post7
|
||||
pillow==12.3.0
|
||||
plotly==6.9.0
|
||||
pluggy==1.6.0
|
||||
prometheus-client==0.25.0
|
||||
prometheus-fastapi-instrumentator==8.0.2
|
||||
propcache==0.5.2
|
||||
protobuf==7.35.1
|
||||
psutil==7.2.2
|
||||
py-cpuinfo==9.0.0
|
||||
pybase64==1.4.3
|
||||
pycountry==26.2.16
|
||||
pycparser==3.0
|
||||
pydantic==2.13.4
|
||||
pydantic-core==2.46.4
|
||||
pydantic-extra-types==2.11.1
|
||||
pydantic-settings==2.14.2
|
||||
pygments==2.20.0
|
||||
pynvml==13.0.1
|
||||
pytest==9.1.1
|
||||
python-dateutil==2.9.0.post0
|
||||
python-dotenv==1.2.2
|
||||
python-json-logger==4.1.0
|
||||
python-multipart==0.0.32
|
||||
pyyaml==6.0.3
|
||||
pyzmq==27.1.0
|
||||
ray==2.56.0
|
||||
referencing==0.37.0
|
||||
regex==2026.7.10
|
||||
requests==2.34.2
|
||||
rich==15.0.0
|
||||
rich-toolkit==0.20.3
|
||||
rignore==0.7.6
|
||||
rpds-py==2026.6.3
|
||||
safetensors==0.8.0
|
||||
scikit-learn==1.9.0
|
||||
scipy==1.18.0
|
||||
sentencepiece==0.2.2
|
||||
sentry-sdk==2.65.0
|
||||
setproctitle==1.3.7
|
||||
setuptools==79.0.1
|
||||
shellingham==1.5.4
|
||||
six==1.17.0
|
||||
sniffio==1.3.1
|
||||
soundfile==0.14.0
|
||||
soxr==1.1.0
|
||||
starlette==1.3.1
|
||||
sympy==1.14.0
|
||||
tabulate==0.10.0
|
||||
threadpoolctl==3.6.0
|
||||
tiktoken==0.13.0
|
||||
tokenizers==0.21.4
|
||||
torch==2.8.0
|
||||
torchaudio==2.8.0
|
||||
torchvision==0.23.0
|
||||
tqdm==4.68.4
|
||||
transformers==4.55.2
|
||||
triton==3.4.0
|
||||
typer==0.26.8
|
||||
typing-extensions==4.16.0
|
||||
typing-inspection==0.4.2
|
||||
urllib3==2.7.0
|
||||
uvicorn==0.51.0
|
||||
uvloop==0.22.1
|
||||
vllm==0.10.2
|
||||
watchfiles==1.2.0
|
||||
websockets==16.1
|
||||
xformers==0.0.32.post1
|
||||
xgrammar==0.1.23
|
||||
yarl==1.24.2
|
||||
@@ -0,0 +1,163 @@
|
||||
aiohappyeyeballs==2.7.1
|
||||
aiohttp==3.14.1
|
||||
aiosignal==1.4.0
|
||||
annotated-doc==0.0.4
|
||||
annotated-types==0.7.0
|
||||
anyio==4.14.2
|
||||
astor==0.8.1
|
||||
attrs==26.1.0
|
||||
blake3==1.0.9
|
||||
cachetools==7.1.4
|
||||
cbor2==6.1.3
|
||||
certifi==2026.6.17
|
||||
cffi==2.1.0
|
||||
charset-normalizer==3.4.9
|
||||
click==8.4.2
|
||||
cloudpickle==3.1.2
|
||||
compressed-tensors==0.11.0
|
||||
cuda-pathfinder==1.5.6
|
||||
cupy-cuda12x==14.1.1
|
||||
ddsketch==3.0.1
|
||||
depyf==0.19.0
|
||||
detect-installer==0.1.0
|
||||
dill==0.4.1
|
||||
diskcache==5.6.3
|
||||
distro==1.9.0
|
||||
dnspython==2.8.0
|
||||
einops==0.8.2
|
||||
email-validator==2.3.0
|
||||
fastapi==0.139.0
|
||||
fastapi-cli==0.0.29
|
||||
fastapi-cloud-cli==0.22.2
|
||||
fastar==0.11.0
|
||||
fasteners==0.20
|
||||
filelock==3.29.7
|
||||
flashinfer-python==0.3.1.post1
|
||||
-e file:///home/admin/cpfs/wjh/frontier-community-qwen235-smoke-20260715/Frontier-d9cfeb6
|
||||
frozendict==2.4.7
|
||||
frozenlist==1.8.0
|
||||
fsspec==2026.6.0
|
||||
gguf==0.19.0
|
||||
h11==0.16.0
|
||||
hf-xet==1.5.1
|
||||
httpcore==1.0.9
|
||||
httptools==0.8.0
|
||||
httpx==0.28.1
|
||||
huggingface-hub==1.23.0
|
||||
idna==3.18
|
||||
iniconfig==2.3.0
|
||||
interegular==0.3.3
|
||||
jinja2==3.1.6
|
||||
jiter==0.16.0
|
||||
joblib==1.5.3
|
||||
jsonschema==4.26.0
|
||||
jsonschema-specifications==2025.9.1
|
||||
lark==1.2.2
|
||||
llguidance==0.7.30
|
||||
llvmlite==0.44.0
|
||||
lm-format-enforcer==0.11.3
|
||||
markdown-it-py==4.2.0
|
||||
markupsafe==3.0.3
|
||||
mdurl==0.1.2
|
||||
mistral-common==1.11.5
|
||||
mpmath==1.3.0
|
||||
msgpack==1.2.1
|
||||
msgspec==0.21.1
|
||||
multidict==6.7.1
|
||||
narwhals==2.24.0
|
||||
networkx==3.6.1
|
||||
ninja==1.13.0
|
||||
numba==0.61.2
|
||||
numpy==2.2.6
|
||||
nvidia-cublas-cu12==12.8.4.1
|
||||
nvidia-cuda-cupti-cu12==12.8.90
|
||||
nvidia-cuda-nvrtc-cu12==12.8.93
|
||||
nvidia-cuda-runtime-cu12==12.8.90
|
||||
nvidia-cudnn-cu12==9.10.2.21
|
||||
nvidia-cudnn-frontend==1.26.0
|
||||
nvidia-cufft-cu12==11.3.3.83
|
||||
nvidia-cufile-cu12==1.13.1.3
|
||||
nvidia-curand-cu12==10.3.9.90
|
||||
nvidia-cusolver-cu12==11.7.3.90
|
||||
nvidia-cusparse-cu12==12.5.8.93
|
||||
nvidia-cusparselt-cu12==0.7.1
|
||||
nvidia-ml-py==13.610.43
|
||||
nvidia-nccl-cu12==2.27.3
|
||||
nvidia-nvjitlink-cu12==12.8.93
|
||||
nvidia-nvtx-cu12==12.8.90
|
||||
openai==2.45.0
|
||||
openai-harmony==0.0.8
|
||||
opencv-python-headless==5.0.0.93
|
||||
outlines-core==0.2.11
|
||||
packaging==26.2
|
||||
pandas==3.0.3
|
||||
partial-json-parser==0.2.1.1.post7
|
||||
pillow==12.3.0
|
||||
plotly==6.9.0
|
||||
pluggy==1.6.0
|
||||
prometheus-client==0.25.0
|
||||
prometheus-fastapi-instrumentator==8.0.2
|
||||
propcache==0.5.2
|
||||
protobuf==7.35.1
|
||||
psutil==7.2.2
|
||||
py-cpuinfo==9.0.0
|
||||
pybase64==1.4.3
|
||||
pycountry==26.2.16
|
||||
pycparser==3.0
|
||||
pydantic==2.13.4
|
||||
pydantic-core==2.46.4
|
||||
pydantic-extra-types==2.11.1
|
||||
pydantic-settings==2.14.2
|
||||
pygments==2.20.0
|
||||
pynvml==13.0.1
|
||||
pytest==9.1.1
|
||||
python-dateutil==2.9.0.post0
|
||||
python-dotenv==1.2.2
|
||||
python-json-logger==4.1.0
|
||||
python-multipart==0.0.32
|
||||
pyyaml==6.0.3
|
||||
pyzmq==27.1.0
|
||||
ray==2.56.0
|
||||
referencing==0.37.0
|
||||
regex==2026.7.10
|
||||
requests==2.34.2
|
||||
rich==15.0.0
|
||||
rich-toolkit==0.20.3
|
||||
rignore==0.7.6
|
||||
rpds-py==2026.6.3
|
||||
safetensors==0.8.0
|
||||
scikit-learn==1.9.0
|
||||
scipy==1.18.0
|
||||
sentencepiece==0.2.2
|
||||
sentry-sdk==2.65.0
|
||||
setproctitle==1.3.7
|
||||
setuptools==79.0.1
|
||||
shellingham==1.5.4
|
||||
six==1.17.0
|
||||
sniffio==1.3.1
|
||||
soundfile==0.14.0
|
||||
soxr==1.1.0
|
||||
starlette==1.3.1
|
||||
sympy==1.14.0
|
||||
tabulate==0.10.0
|
||||
threadpoolctl==3.6.0
|
||||
tiktoken==0.13.0
|
||||
tokenizers==0.22.2
|
||||
torch==2.8.0
|
||||
torchaudio==2.8.0
|
||||
torchvision==0.23.0
|
||||
tqdm==4.68.4
|
||||
transformers==5.13.1
|
||||
triton==3.4.0
|
||||
typer==0.26.8
|
||||
typing-extensions==4.16.0
|
||||
typing-inspection==0.4.2
|
||||
urllib3==2.7.0
|
||||
uvicorn==0.51.0
|
||||
uvloop==0.22.1
|
||||
vllm==0.10.2
|
||||
watchfiles==1.2.0
|
||||
websockets==16.1
|
||||
xformers==0.0.32.post1
|
||||
xgrammar==0.1.23
|
||||
yarl==1.24.2
|
||||
Reference in New Issue
Block a user