[tab] /p/project1/envcomp/mihir/logs/eval/eval_miles_run/eval_miles_run_batch_13062812.log (log)
Extracted from RUN_NAME: RUN_ID=13032821, BASE_MODEL=Qwen3-8B
No LoRA adapters found. Evaluating as full fine-tune.

==============================================
PHASE 1: Generating outputs for all checkpoints
==============================================
Generating for base model (step 0)...
[2026-01-05 19:07:59] INFO utils.py:148: Note: detected 96 virtual cores but NumExpr set to maximum of 64, check "NUMEXPR_MAX_THREADS" environment variable.
[2026-01-05 19:07:59] INFO utils.py:151: Note: NumExpr detected 96 cores but "NUMEXPR_MAX_THREADS" not set, so enforcing safe limit of 16.
[2026-01-05 19:07:59] INFO utils.py:164: NumExpr defaulting to 16 threads.
[2026-01-05 19:08:04] INFO server_args.py:1565: Attention backend not specified. Use flashinfer backend by default.
[2026-01-05 19:08:05] server_args=ServerArgs(model_path='/p/scratch/envcomp/mihir/huggingface/Qwen3-8B', tokenizer_path='/p/scratch/envcomp/mihir/huggingface/Qwen3-8B', tokenizer_mode='auto', tokenizer_worker_num=1, skip_tokenizer_init=False, load_format='auto', model_loader_extra_config='{}', trust_remote_code=False, context_length=15000, is_embedding=False, enable_multimodal=None, revision=None, model_impl='auto', host='0.0.0.0', port=30000, fastapi_root_path='', grpc_mode=False, skip_server_warmup=False, warmups=None, nccl_port=None, checkpoint_engine_wait_weights_before_ready=False, dtype='auto', quantization=None, quantization_param_path=None, kv_cache_dtype='auto', enable_fp32_lm_head=False, modelopt_quant=None, modelopt_checkpoint_restore_path=None, modelopt_checkpoint_save_path=None, modelopt_export_path=None, quantize_and_serve=False, rl_quant_profile=None, mem_fraction_static=0.85, max_running_requests=None, max_queued_requests=None, max_total_tokens=None, chunked_prefill_size=4096, enable_dynamic_chunking=False, max_prefill_tokens=16384, prefill_max_requests=None, schedule_policy='fcfs', enable_priority_scheduling=False, abort_on_priority_when_disabled=False, schedule_low_priority_values_first=False, priority_scheduling_preemption_threshold=10, schedule_conservativeness=1.0, page_size=1, hybrid_kvcache_ratio=None, swa_full_tokens_ratio=0.8, disable_hybrid_swa_memory=False, radix_eviction_policy='lru', device='cuda', tp_size=4, pp_size=1, pp_max_micro_batch_size=None, pp_async_batch_depth=0, stream_interval=1, stream_output=False, random_seed=42944638, constrained_json_whitespace_pattern=None, constrained_json_disable_any_whitespace=False, watchdog_timeout=300, soft_watchdog_timeout=None, dist_timeout=None, download_dir=None, base_gpu_id=0, gpu_id_step=1, sleep_on_idle=False, custom_sigquit_handler=None, log_level='info', log_level_http=None, log_requests=False, log_requests_level=2, log_requests_format='text', crash_dump_folder=None, show_time_cost=False, enable_metrics=False, enable_metrics_for_all_schedulers=False, tokenizer_metrics_custom_labels_header='x-custom-labels', tokenizer_metrics_allowed_custom_labels=None, bucket_time_to_first_token=None, bucket_inter_token_latency=None, bucket_e2e_request_latency=None, collect_tokens_histogram=False, prompt_tokens_buckets=None, generation_tokens_buckets=None, gc_warning_threshold_secs=0.0, decode_log_interval=40, enable_request_time_stats_logging=False, kv_events_config=None, enable_trace=False, otlp_traces_endpoint='localhost:4317', export_metrics_to_file=False, export_metrics_to_file_dir=None, api_key=None, served_model_name='/p/scratch/envcomp/mihir/huggingface/Qwen3-8B', weight_version='default', chat_template=None, completion_template=None, file_storage_path='sglang_storage', enable_cache_report=False, reasoning_parser=None, tool_call_parser=None, tool_server=None, sampling_defaults='model', dp_size=1, load_balance_method='round_robin', prefill_round_robin_balance=False, dist_init_addr=None, nnodes=1, node_rank=0, json_model_override_args='{}', preferred_sampling_params=None, enable_lora=None, max_lora_rank=None, lora_target_modules=None, lora_paths=None, max_loaded_loras=None, max_loras_per_batch=8, lora_eviction_policy='lru', lora_backend='csgmv', max_lora_chunk_size=16, attention_backend='flashinfer', decode_attention_backend=None, prefill_attention_backend=None, sampling_backend='flashinfer', grammar_backend='xgrammar', mm_attention_backend=None, fp8_gemm_runner_backend='auto', nsa_prefill_backend='flashmla_sparse', nsa_decode_backend='fa3', disable_flashinfer_autotune=False, speculative_algorithm=None, speculative_draft_model_path=None, speculative_draft_model_revision=None, speculative_draft_load_format=None, speculative_num_steps=None, speculative_eagle_topk=None, speculative_num_draft_tokens=None, speculative_accept_threshold_single=1.0, speculative_accept_threshold_acc=1.0, speculative_token_map=None, speculative_attention_mode='prefill', speculative_draft_attention_backend=None, speculative_moe_runner_backend='auto', speculative_moe_a2a_backend=None, speculative_draft_model_quantization=None, speculative_ngram_min_match_window_size=1, speculative_ngram_max_match_window_size=12, speculative_ngram_min_bfs_breadth=1, speculative_ngram_max_bfs_breadth=10, speculative_ngram_match_type='BFS', speculative_ngram_branch_length=18, speculative_ngram_capacity=10000000, enable_multi_layer_eagle=False, ep_size=1, moe_a2a_backend='none', moe_runner_backend='auto', flashinfer_mxfp4_moe_precision='default', enable_flashinfer_allreduce_fusion=False, deepep_mode='auto', ep_num_redundant_experts=0, ep_dispatch_algorithm=None, init_expert_location='trivial', enable_eplb=False, eplb_algorithm='auto', eplb_rebalance_num_iterations=1000, eplb_rebalance_layers_per_chunk=None, eplb_min_rebalancing_utilization_threshold=1.0, expert_distribution_recorder_mode=None, expert_distribution_recorder_buffer_size=1000, enable_expert_distribution_metrics=False, deepep_config=None, moe_dense_tp_size=None, elastic_ep_backend=None, mooncake_ib_device=None, max_mamba_cache_size=None, mamba_ssm_dtype='float32', mamba_full_memory_ratio=0.9, mamba_scheduler_strategy='no_buffer', mamba_track_interval=256, enable_hierarchical_cache=False, hicache_ratio=2.0, hicache_size=0, hicache_write_policy='write_through', hicache_io_backend='kernel', hicache_mem_layout='layer_first', hicache_storage_backend=None, hicache_storage_prefetch_policy='best_effort', hicache_storage_backend_extra_config=None, enable_lmcache=False, kt_weight_path=None, kt_method='AMXINT4', kt_cpuinfer=None, kt_threadpool_count=2, kt_num_gpu_experts=None, kt_max_deferred_experts_per_token=None, dllm_algorithm=None, dllm_algorithm_config=None, enable_double_sparsity=False, ds_channel_config_path=None, ds_heavy_channel_num=32, ds_heavy_token_num=256, ds_heavy_channel_type='qk', ds_sparse_decode_threshold=4096, cpu_offload_gb=0, offload_group_size=-1, offload_num_in_group=1, offload_prefetch_step=1, offload_mode='cpu', multi_item_scoring_delimiter=None, disable_radix_cache=False, cuda_graph_max_bs=160, cuda_graph_bs=[1, 2, 4, 8, 12, 16, 24, 32, 40, 48, 56, 64, 72, 80, 88, 96, 104, 112, 120, 128, 136, 144, 152, 160], disable_cuda_graph=False, disable_cuda_graph_padding=False, enable_profile_cuda_graph=False, enable_cudagraph_gc=False, enable_layerwise_nvtx_marker=False, enable_nccl_nvls=False, enable_symm_mem=False, disable_flashinfer_cutlass_moe_fp4_allgather=False, enable_tokenizer_batch_encode=False, disable_tokenizer_batch_decode=False, disable_outlines_disk_cache=False, disable_custom_all_reduce=False, enable_mscclpp=False, enable_torch_symm_mem=False, disable_overlap_schedule=False, enable_mixed_chunk=False, enable_dp_attention=False, enable_dp_lm_head=False, enable_two_batch_overlap=False, enable_single_batch_overlap=False, tbo_token_distribution_threshold=0.48, enable_torch_compile=False, enable_piecewise_cuda_graph=False, enable_torch_compile_debug_mode=False, torch_compile_max_bs=32, piecewise_cuda_graph_max_tokens=4096, piecewise_cuda_graph_tokens=[4, 8, 12, 16, 20, 24, 28, 32, 48, 64, 80, 96, 112, 128, 144, 160, 176, 192, 208, 224, 240, 256, 288, 320, 352, 384, 416, 448, 480, 512, 640, 768, 896, 1024, 1152, 1280, 1408, 1536, 1664, 1792, 1920, 2048, 2176, 2304, 2432, 2560, 2688, 2816, 2944, 3072, 3200, 3328, 3456, 3584, 3712, 3840, 3968, 4096], piecewise_cuda_graph_compiler='eager', torchao_config='', enable_nan_detection=False, enable_p2p_check=False, triton_attention_reduce_in_fp32=False, triton_attention_num_kv_splits=8, triton_attention_split_tile_size=None, num_continuous_decode_steps=1, delete_ckpt_after_loading=False, enable_memory_saver=False, enable_weights_cpu_backup=False, enable_draft_weights_cpu_backup=False, allow_auto_truncate=False, enable_custom_logit_processor=False, flashinfer_mla_disable_ragged=False, disable_shared_experts_fusion=False, disable_chunked_prefix_cache=False, disable_fast_image_processor=False, keep_mm_feature_on_device=False, enable_return_hidden_states=False, enable_return_routed_experts=False, scheduler_recv_interval=1, numa_node=None, enable_deterministic_inference=False, rl_on_policy_target=None, enable_attn_tp_input_scattered=False, enable_nsa_prefill_context_parallel=False, enable_fused_qk_norm_rope=False, enable_precise_embedding_interpolation=False, enable_dynamic_batch_tokenizer=False, dynamic_batch_tokenizer_batch_size=32, dynamic_batch_tokenizer_batch_timeout=0.002, debug_tensor_dump_output_folder=None, debug_tensor_dump_layers=None, debug_tensor_dump_input_file=None, debug_tensor_dump_inject=False, disaggregation_mode='null', disaggregation_transfer_backend='mooncake', disaggregation_bootstrap_port=8998, disaggregation_decode_tp=None, disaggregation_decode_dp=None, disaggregation_prefill_pp=1, disaggregation_ib_device=None, disaggregation_decode_enable_offload_kvcache=False, disaggregation_decode_enable_fake_auto=False, num_reserved_decode_tokens=512, disaggregation_decode_polling_interval=1, encoder_only=False, language_only=False, encoder_transfer_backend='zmq_to_scheduler', encoder_urls=[], custom_weight_loader=[], weight_loader_disable_mmap=False, remote_instance_weight_loader_seed_instance_ip=None, remote_instance_weight_loader_seed_instance_service_port=None, remote_instance_weight_loader_send_weights_group_ports=None, remote_instance_weight_loader_backend='nccl', remote_instance_weight_loader_start_seed_via_transfer_engine=False, enable_pdmux=False, pdmux_config_path=None, sm_group_num=8, mm_max_concurrent_calls=32, mm_per_request_timeout=10.0, enable_broadcast_mm_inputs_process=False, enable_prefix_mm_cache=False, mm_enable_dp_encoder=False, mm_process_config={}, limit_mm_data_per_request=None, decrypted_config_file=None, decrypted_draft_config_file=None, forward_hooks=None)
[2026-01-05 19:08:05] Using default HuggingFace chat template with detected content format: string
[2026-01-05 19:08:14] INFO utils.py:148: Note: detected 96 virtual cores but NumExpr set to maximum of 64, check "NUMEXPR_MAX_THREADS" environment variable.
[2026-01-05 19:08:14] INFO utils.py:151: Note: NumExpr detected 96 cores but "NUMEXPR_MAX_THREADS" not set, so enforcing safe limit of 16.
[2026-01-05 19:08:14] INFO utils.py:164: NumExpr defaulting to 16 threads.
[2026-01-05 19:08:14] INFO utils.py:148: Note: detected 96 virtual cores but NumExpr set to maximum of 64, check "NUMEXPR_MAX_THREADS" environment variable.
[2026-01-05 19:08:14] INFO utils.py:151: Note: NumExpr detected 96 cores but "NUMEXPR_MAX_THREADS" not set, so enforcing safe limit of 16.
[2026-01-05 19:08:14] INFO utils.py:164: NumExpr defaulting to 16 threads.
[2026-01-05 19:08:14] INFO utils.py:148: Note: detected 96 virtual cores but NumExpr set to maximum of 64, check "NUMEXPR_MAX_THREADS" environment variable.
[2026-01-05 19:08:14] INFO utils.py:151: Note: NumExpr detected 96 cores but "NUMEXPR_MAX_THREADS" not set, so enforcing safe limit of 16.
[2026-01-05 19:08:14] INFO utils.py:164: NumExpr defaulting to 16 threads.
[2026-01-05 19:08:14] INFO utils.py:148: Note: detected 96 virtual cores but NumExpr set to maximum of 64, check "NUMEXPR_MAX_THREADS" environment variable.
[2026-01-05 19:08:14] INFO utils.py:151: Note: NumExpr detected 96 cores but "NUMEXPR_MAX_THREADS" not set, so enforcing safe limit of 16.
[2026-01-05 19:08:14] INFO utils.py:164: NumExpr defaulting to 16 threads.
[2026-01-05 19:08:14] INFO utils.py:148: Note: detected 96 virtual cores but NumExpr set to maximum of 64, check "NUMEXPR_MAX_THREADS" environment variable.
[2026-01-05 19:08:14] INFO utils.py:151: Note: NumExpr detected 96 cores but "NUMEXPR_MAX_THREADS" not set, so enforcing safe limit of 16.
[2026-01-05 19:08:14] INFO utils.py:164: NumExpr defaulting to 16 threads.
[2026-01-05 19:08:18 TP3] Init torch distributed begin.
[2026-01-05 19:08:18 TP2] Init torch distributed begin.
[2026-01-05 19:08:18 TP1] Init torch distributed begin.
[2026-01-05 19:08:18 TP0] Init torch distributed begin.
[W105 19:08:19.666651935 socket.cpp:767] [c10d] The client socket cannot be initialized to connect to [localhost.localdomain]:30285 (errno: 97 - Address family not supported by protocol).
[W105 19:08:19.666775126 socket.cpp:767] [c10d] The client socket cannot be initialized to connect to [localhost.localdomain]:30285 (errno: 97 - Address family not supported by protocol).
[W105 19:08:19.676437948 socket.cpp:767] [c10d] The client socket cannot be initialized to connect to [localhost.localdomain]:30285 (errno: 97 - Address family not supported by protocol).
[W105 19:08:19.692849912 socket.cpp:767] [c10d] The client socket cannot be initialized to connect to [localhost.localdomain]:30285 (errno: 97 - Address family not supported by protocol).
[Gloo] Rank 0 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
[Gloo] Rank 2 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
[Gloo] Rank 1 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
[Gloo] Rank 3 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
[Gloo] Rank 0 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
[Gloo] Rank 1 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
[Gloo] Rank 2 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
[Gloo] Rank 3 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
[2026-01-05 19:08:20 TP0] sglang is using nccl==2.27.5
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
[Gloo] Rank 1 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
[Gloo] Rank 3 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
[Gloo] Rank 2 is connected to 3 peer ranks. Expected number of connected peer ranks is : 3
[2026-01-05 19:08:20 TP0] Init torch distributed ends. mem usage=1.01 GB
[2026-01-05 19:08:20 TP3] Init torch distributed ends. mem usage=1.08 GB
[2026-01-05 19:08:20 TP2] Init torch distributed ends. mem usage=1.01 GB
[2026-01-05 19:08:20 TP1] Init torch distributed ends. mem usage=1.08 GB
[2026-01-05 19:08:20 TP0] MOE_RUNNER_BACKEND is not initialized, the backend will be automatically selected
[2026-01-05 19:08:24 TP0] Ignore import error when loading sglang.srt.models.glmasr: cannot import name 'GlmAsrConfig' from 'transformers' (/p/project1/envcomp/mahajan1/miles/tab-model-eval/.venv/lib/python3.12/site-packages/transformers/__init__.py)
[2026-01-05 19:08:24 TP1] Ignore import error when loading sglang.srt.models.glmasr: cannot import name 'GlmAsrConfig' from 'transformers' (/p/project1/envcomp/mahajan1/miles/tab-model-eval/.venv/lib/python3.12/site-packages/transformers/__init__.py)
[2026-01-05 19:08:24 TP3] Ignore import error when loading sglang.srt.models.glmasr: cannot import name 'GlmAsrConfig' from 'transformers' (/p/project1/envcomp/mahajan1/miles/tab-model-eval/.venv/lib/python3.12/site-packages/transformers/__init__.py)
[2026-01-05 19:08:24 TP2] Ignore import error when loading sglang.srt.models.glmasr: cannot import name 'GlmAsrConfig' from 'transformers' (/p/project1/envcomp/mahajan1/miles/tab-model-eval/.venv/lib/python3.12/site-packages/transformers/__init__.py)
[2026-01-05 19:08:25 TP2] Load weight begin. avail mem=38.06 GB
[2026-01-05 19:08:25 TP1] Load weight begin. avail mem=37.99 GB
[2026-01-05 19:08:25 TP3] Load weight begin. avail mem=37.99 GB
[2026-01-05 19:08:25 TP0] Load weight begin. avail mem=38.06 GB

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Loading safetensors checkpoint shards: 100% Completed | 5/5 [00:19<00:00,  3.91s/it]

[2026-01-05 19:08:45 TP1] Load weight end. type=Qwen3ForCausalLM, dtype=torch.bfloat16, avail mem=34.15 GB, mem usage=3.84 GB.
[2026-01-05 19:08:45 TP0] Load weight end. type=Qwen3ForCausalLM, dtype=torch.bfloat16, avail mem=34.22 GB, mem usage=3.84 GB.
[2026-01-05 19:08:45 TP2] Load weight end. type=Qwen3ForCausalLM, dtype=torch.bfloat16, avail mem=34.22 GB, mem usage=3.84 GB.
[2026-01-05 19:08:45 TP3] Load weight end. type=Qwen3ForCausalLM, dtype=torch.bfloat16, avail mem=34.15 GB, mem usage=3.84 GB.
[2026-01-05 19:08:45 TP0] Using KV cache dtype: torch.bfloat16
[2026-01-05 19:08:45 TP0] KV Cache is allocated. #tokens: 828711, K size: 14.23 GB, V size: 14.23 GB
[2026-01-05 19:08:45 TP0] Memory pool end. avail mem=5.44 GB
[2026-01-05 19:08:45 TP1] KV Cache is allocated. #tokens: 828711, K size: 14.23 GB, V size: 14.23 GB
[2026-01-05 19:08:45 TP2] KV Cache is allocated. #tokens: 828711, K size: 14.23 GB, V size: 14.23 GB
[2026-01-05 19:08:45 TP3] KV Cache is allocated. #tokens: 828711, K size: 14.23 GB, V size: 14.23 GB
[2026-01-05 19:08:45 TP2] Memory pool end. avail mem=5.44 GB
[2026-01-05 19:08:45 TP1] Memory pool end. avail mem=5.37 GB
[2026-01-05 19:08:45 TP3] Memory pool end. avail mem=5.37 GB
[2026-01-05 19:08:45 TP0] Capture cuda graph begin. This can take up to several minutes. avail mem=4.81 GB
[2026-01-05 19:08:45 TP1] Capture cuda graph begin. This can take up to several minutes. avail mem=4.74 GB
[2026-01-05 19:08:45 TP2] Capture cuda graph begin. This can take up to several minutes. avail mem=4.81 GB
[2026-01-05 19:08:45 TP0] Capture cuda graph bs [1, 2, 4, 8, 12, 16, 24, 32, 40, 48, 56, 64, 72, 80, 88, 96, 104, 112, 120, 128, 136, 144, 152, 160]
[2026-01-05 19:08:45 TP3] Capture cuda graph begin. This can take up to several minutes. avail mem=4.74 GB

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Capturing batches (bs=32 avail_mem=4.29 GB):  71%|███████   | 17/24 [00:09<00:01,  6.91it/s]
Capturing batches (bs=24 avail_mem=4.28 GB):  71%|███████   | 17/24 [00:09<00:01,  6.91it/s]
Capturing batches (bs=16 avail_mem=4.26 GB):  71%|███████   | 17/24 [00:09<00:01,  6.91it/s]
Capturing batches (bs=16 avail_mem=4.26 GB):  79%|███████▉  | 19/24 [00:09<00:00,  7.93it/s]
Capturing batches (bs=12 avail_mem=4.25 GB):  79%|███████▉  | 19/24 [00:09<00:00,  7.93it/s]
Capturing batches (bs=8 avail_mem=4.22 GB):  79%|███████▉  | 19/24 [00:09<00:00,  7.93it/s] 
Capturing batches (bs=8 avail_mem=4.22 GB):  88%|████████▊ | 21/24 [00:10<00:00,  8.83it/s]
Capturing batches (bs=4 avail_mem=4.22 GB):  88%|████████▊ | 21/24 [00:10<00:00,  8.83it/s]
Capturing batches (bs=2 avail_mem=4.19 GB):  88%|████████▊ | 21/24 [00:10<00:00,  8.83it/s]
Capturing batches (bs=2 avail_mem=4.19 GB):  96%|█████████▌| 23/24 [00:10<00:00,  9.47it/s]
Capturing batches (bs=1 avail_mem=4.18 GB):  96%|█████████▌| 23/24 [00:10<00:00,  9.47it/s]
Capturing batches (bs=1 avail_mem=4.18 GB): 100%|██████████| 24/24 [00:10<00:00,  2.25it/s]
[2026-01-05 19:08:56 TP0] Registering 1752 cuda graph addresses
[2026-01-05 19:08:57 TP0] Capture cuda graph end. Time elapsed: 11.54 s. mem usage=0.65 GB. avail mem=4.16 GB.
[2026-01-05 19:08:57 TP1] Capture cuda graph end. Time elapsed: 11.58 s. mem usage=0.65 GB. avail mem=4.09 GB.
[2026-01-05 19:08:57 TP3] Capture cuda graph end. Time elapsed: 11.60 s. mem usage=0.65 GB. avail mem=4.09 GB.
[2026-01-05 19:08:57 TP2] Capture cuda graph end. Time elapsed: 11.73 s. mem usage=0.65 GB. avail mem=4.16 GB.
[2026-01-05 19:08:57 TP0] max_total_num_tokens=828711, chunked_prefill_size=4096, max_prefill_tokens=16384, max_running_requests=4096, context_len=15000, available_gpu_mem=4.16 GB
[2026-01-05 19:08:58] INFO:     Started server process [770759]
[2026-01-05 19:08:58] INFO:     Waiting for application startup.
[2026-01-05 19:08:58] Using default chat sampling params from model generation config: {'repetition_penalty': 1.0, 'temperature': 0.6, 'top_k': 20, 'top_p': 0.95}
[2026-01-05 19:08:58] Using default chat sampling params from model generation config: {'repetition_penalty': 1.0, 'temperature': 0.6, 'top_k': 20, 'top_p': 0.95}
[2026-01-05 19:08:58] INFO:     Application startup complete.
[2026-01-05 19:08:58] INFO:     Uvicorn running on http://0.0.0.0:30000 (Press CTRL+C to quit)
[2026-01-05 19:08:59] INFO:     127.0.0.1:45204 - "GET /model_info HTTP/1.1" 200 OK
[2026-01-05 19:08:59 TP0] Prefill batch, #new-seq: 1, #new-token: 6, #cached-token: 0, token usage: 0.00, #running-req: 0, #queue-req: 0, 
[2026-01-05 19:09:02] INFO:     127.0.0.1:45226 - "GET /v1/models HTTP/1.1" 200 OK
Using server at http://0.0.0.0:30000/v1
Launching sglang server:
  /p/project1/envcomp/mahajan1/miles/tab-model-eval/.venv/bin/python -m sglang.launch_server --model-path /p/scratch/envcomp/mihir/huggingface/Qwen3-8B --host 0.0.0.0 --port 30000 --context-length 15000 --mem-fraction-static 0.85 --tp-size 4
Waiting for server at http://0.0.0.0:30000 ...
Server not ready yet (All connection attempts failed); retrying...
Server not ready yet (All connection attempts failed); retrying...
Server not ready yet (All connection attempts failed); retrying...
Server not ready yet (All connection attempts failed); retrying...
Server not ready yet (All connection attempts failed); retrying...
Server not ready yet (All connection attempts failed); retrying...
Server not ready yet (All connection attempts failed); retrying...
Server not ready yet (All connection attempts failed); retrying...
Server is up.

Filtered dataset:
  Valid test cases: 5
  Skipped (too long): 0

Running 5 test cases with concurrency=4 ...

  0%|          | 0/5 [00:00<?, ?it/s][2026-01-05 19:09:02] INFO:     127.0.0.1:45214 - "POST /generate HTTP/1.1" 200 OK
[2026-01-05 19:09:02] The server is fired up and ready to roll!
[2026-01-05 19:09:03 TP0] Prefill batch, #new-seq: 1, #new-token: 963, #cached-token: 0, token usage: 0.00, #running-req: 0, #queue-req: 0, 
[2026-01-05 19:09:03 TP0] Prefill batch, #new-seq: 1, #new-token: 4096, #cached-token: 0, token usage: 0.00, #running-req: 0, #queue-req: 2, 
[2026-01-05 19:09:03 TP0] Prefill batch, #new-seq: 3, #new-token: 3457, #cached-token: 5059, token usage: 0.01, #running-req: 0, #queue-req: 0, 
[2026-01-05 19:09:03 TP0] Prefill batch, #new-seq: 10, #new-token: 10, #cached-token: 9620, token usage: 0.01, #running-req: 0, #queue-req: 0, 
[2026-01-05 19:09:04 TP0] Prefill batch, #new-seq: 30, #new-token: 30, #cached-token: 126090, token usage: 0.01, #running-req: 10, #queue-req: 0, 
[2026-01-05 19:09:04 TP0] Decode batch, #running-req: 40, #token: 8403, token usage: 0.01, cuda graph: True, gen throughput (token/s): 27.07, #queue-req: 0, 
[2026-01-05 19:09:04 TP0] Decode batch, #running-req: 40, #token: 10003, token usage: 0.01, cuda graph: True, gen throughput (token/s): 4830.61, #queue-req: 0, 
[2026-01-05 19:09:04 TP0] Decode batch, #running-req: 40, #token: 11603, token usage: 0.01, cuda graph: True, gen throughput (token/s): 4782.87, #queue-req: 0, 
[2026-01-05 19:09:05 TP0] Decode batch, #running-req: 40, #token: 13203, token usage: 0.02, cuda graph: True, gen throughput (token/s): 4754.55, #queue-req: 0, 
[2026-01-05 19:09:05 TP0] Decode batch, #running-req: 40, #token: 14803, token usage: 0.02, cuda graph: True, gen throughput (token/s): 4752.06, #queue-req: 0, 
[2026-01-05 19:09:06 TP0] Decode batch, #running-req: 40, #token: 16403, token usage: 0.02, cuda graph: True, gen throughput (token/s): 4729.26, #queue-req: 0, 
[2026-01-05 19:09:06 TP0] Decode batch, #running-req: 40, #token: 17731, token usage: 0.02, cuda graph: True, gen throughput (token/s): 4706.29, #queue-req: 0, 
[2026-01-05 19:09:06 TP0] Decode batch, #running-req: 32, #token: 17102, token usage: 0.02, cuda graph: True, gen throughput (token/s): 4148.42, #queue-req: 0, 
[2026-01-05 19:09:06 TP0] Decode batch, #running-req: 26, #token: 16268, token usage: 0.02, cuda graph: True, gen throughput (token/s): 3644.82, #queue-req: 0, 
[2026-01-05 19:09:07 TP0] Decode batch, #running-req: 23, #token: 16132, token usage: 0.02, cuda graph: True, gen throughput (token/s): 3204.22, #queue-req: 0, 
[2026-01-05 19:09:07 TP0] Decode batch, #running-req: 20, #token: 15755, token usage: 0.02, cuda graph: True, gen throughput (token/s): 2852.66, #queue-req: 0, 
[2026-01-05 19:09:07 TP0] Decode batch, #running-req: 19, #token: 16083, token usage: 0.02, cuda graph: True, gen throughput (token/s): 2646.45, #queue-req: 0, 
[2026-01-05 19:09:08 TP0] Decode batch, #running-req: 17, #token: 15819, token usage: 0.02, cuda graph: True, gen throughput (token/s): 2516.62, #queue-req: 0, 
[2026-01-05 19:09:08 TP0] Decode batch, #running-req: 15, #token: 15395, token usage: 0.02, cuda graph: True, gen throughput (token/s): 2204.65, #queue-req: 0, 
[2026-01-05 19:09:08 TP0] Decode batch, #running-req: 13, #token: 14811, token usage: 0.02, cuda graph: True, gen throughput (token/s): 2064.55, #queue-req: 0, 
[2026-01-05 19:09:09 TP0] Decode batch, #running-req: 12, #token: 14699, token usage: 0.02, cuda graph: True, gen throughput (token/s): 1887.10, #queue-req: 0, 
[2026-01-05 19:09:09 TP0] Decode batch, #running-req: 11, #token: 14507, token usage: 0.02, cuda graph: True, gen throughput (token/s): 1747.39, #queue-req: 0, 
[2026-01-05 19:09:09 TP0] Decode batch, #running-req: 11, #token: 14947, token usage: 0.02, cuda graph: True, gen throughput (token/s): 1656.60, #queue-req: 0, 
[2026-01-05 19:09:09 TP0] Decode batch, #running-req: 11, #token: 15387, token usage: 0.02, cuda graph: True, gen throughput (token/s): 1656.21, #queue-req: 0, 
[2026-01-05 19:09:10 TP0] Decode batch, #running-req: 9, #token: 14242, token usage: 0.02, cuda graph: True, gen throughput (token/s): 1497.30, #queue-req: 0, 
[2026-01-05 19:09:10] INFO:     127.0.0.1:36564 - "POST /v1/chat/completions HTTP/1.1" 200 OK

 20%|██        | 1/5 [00:07<00:31,  7.96s/it][2026-01-05 19:09:10 TP0] Prefill batch, #new-seq: 1, #new-token: 4096, #cached-token: 91, token usage: 0.02, #running-req: 8, #queue-req: 0, 
[2026-01-05 19:09:10 TP0] Prefill batch, #new-seq: 1, #new-token: 2923, #cached-token: 0, token usage: 0.02, #running-req: 8, #queue-req: 0, 
[2026-01-05 19:09:10 TP0] Prefill batch, #new-seq: 10, #new-token: 10, #cached-token: 71090, token usage: 0.02, #running-req: 8, #queue-req: 0, 
[2026-01-05 19:09:10 TP0] Decode batch, #running-req: 18, #token: 20921, token usage: 0.03, cuda graph: True, gen throughput (token/s): 1138.69, #queue-req: 0, 
[2026-01-05 19:09:10 TP0] Decode batch, #running-req: 18, #token: 21641, token usage: 0.03, cuda graph: True, gen throughput (token/s): 2389.76, #queue-req: 0, 
[2026-01-05 19:09:11 TP0] Decode batch, #running-req: 18, #token: 22361, token usage: 0.03, cuda graph: True, gen throughput (token/s): 2383.80, #queue-req: 0, 
[2026-01-05 19:09:11 TP0] Decode batch, #running-req: 18, #token: 23081, token usage: 0.03, cuda graph: True, gen throughput (token/s): 2382.25, #queue-req: 0, 
[2026-01-05 19:09:11 TP0] Decode batch, #running-req: 18, #token: 23801, token usage: 0.03, cuda graph: True, gen throughput (token/s): 2377.56, #queue-req: 0, 
[2026-01-05 19:09:12 TP0] Decode batch, #running-req: 18, #token: 24521, token usage: 0.03, cuda graph: True, gen throughput (token/s): 2351.03, #queue-req: 0, 
[2026-01-05 19:09:12 TP0] Decode batch, #running-req: 18, #token: 25241, token usage: 0.03, cuda graph: True, gen throughput (token/s): 2346.53, #queue-req: 0, 
[2026-01-05 19:09:12 TP0] Decode batch, #running-req: 18, #token: 25961, token usage: 0.03, cuda graph: True, gen throughput (token/s): 2355.92, #queue-req: 0, 
[2026-01-05 19:09:13 TP0] Decode batch, #running-req: 18, #token: 26681, token usage: 0.03, cuda graph: True, gen throughput (token/s): 2358.70, #queue-req: 0, 
[2026-01-05 19:09:13 TP0] Decode batch, #running-req: 18, #token: 27401, token usage: 0.03, cuda graph: True, gen throughput (token/s): 2355.22, #queue-req: 0, 
[2026-01-05 19:09:13 TP0] Decode batch, #running-req: 18, #token: 28121, token usage: 0.03, cuda graph: True, gen throughput (token/s): 2350.42, #queue-req: 0, 
[2026-01-05 19:09:13 TP0] Decode batch, #running-req: 18, #token: 28841, token usage: 0.03, cuda graph: True, gen throughput (token/s): 2352.68, #queue-req: 0, 
[2026-01-05 19:09:14 TP0] Decode batch, #running-req: 18, #token: 29561, token usage: 0.04, cuda graph: True, gen throughput (token/s): 2349.77, #queue-req: 0, 
[2026-01-05 19:09:14 TP0] Decode batch, #running-req: 18, #token: 30281, token usage: 0.04, cuda graph: True, gen throughput (token/s): 2343.02, #queue-req: 0, 
[2026-01-05 19:09:14 TP0] Decode batch, #running-req: 18, #token: 31001, token usage: 0.04, cuda graph: True, gen throughput (token/s): 2342.89, #queue-req: 0, 
[2026-01-05 19:09:15 TP0] Decode batch, #running-req: 16, #token: 29660, token usage: 0.04, cuda graph: True, gen throughput (token/s): 2306.23, #queue-req: 0, 
[2026-01-05 19:09:15 TP0] Decode batch, #running-req: 15, #token: 28828, token usage: 0.03, cuda graph: True, gen throughput (token/s): 2108.15, #queue-req: 0, 
[2026-01-05 19:09:15 TP0] Decode batch, #running-req: 13, #token: 28010, token usage: 0.03, cuda graph: True, gen throughput (token/s): 1975.55, #queue-req: 0, 
[2026-01-05 19:09:16 TP0] Decode batch, #running-req: 12, #token: 26978, token usage: 0.03, cuda graph: True, gen throughput (token/s): 1737.99, #queue-req: 0, 
[2026-01-05 19:09:16 TP0] Decode batch, #running-req: 12, #token: 27458, token usage: 0.03, cuda graph: True, gen throughput (token/s): 1726.20, #queue-req: 0, 
[2026-01-05 19:09:16 TP0] Decode batch, #running-req: 12, #token: 27938, token usage: 0.03, cuda graph: True, gen throughput (token/s): 1725.14, #queue-req: 0, 
[2026-01-05 19:09:16 TP0] Decode batch, #running-req: 11, #token: 26746, token usage: 0.03, cuda graph: True, gen throughput (token/s): 1691.11, #queue-req: 0, 
[2026-01-05 19:09:17] INFO:     127.0.0.1:36570 - "POST /v1/chat/completions HTTP/1.1" 200 OK

 40%|████      | 2/5 [00:14<00:22,  7.38s/it][2026-01-05 19:09:17 TP0] Decode batch, #running-req: 10, #token: 25474, token usage: 0.03, cuda graph: True, gen throughput (token/s): 1554.96, #queue-req: 0, 
[2026-01-05 19:09:17 TP0] Decode batch, #running-req: 10, #token: 25874, token usage: 0.03, cuda graph: True, gen throughput (token/s): 1461.31, #queue-req: 0, 
[2026-01-05 19:09:17 TP0] Decode batch, #running-req: 8, #token: 24296, token usage: 0.03, cuda graph: True, gen throughput (token/s): 1284.12, #queue-req: 0, 
[2026-01-05 19:09:17 TP0] Decode batch, #running-req: 8, #token: 24616, token usage: 0.03, cuda graph: True, gen throughput (token/s): 1203.86, #queue-req: 0, 
[2026-01-05 19:09:18 TP0] Decode batch, #running-req: 8, #token: 24936, token usage: 0.03, cuda graph: True, gen throughput (token/s): 1199.81, #queue-req: 0, 
[2026-01-05 19:09:18 TP0] Decode batch, #running-req: 8, #token: 25256, token usage: 0.03, cuda graph: True, gen throughput (token/s): 1198.37, #queue-req: 0, 
[2026-01-05 19:09:18 TP0] Decode batch, #running-req: 7, #token: 23624, token usage: 0.03, cuda graph: True, gen throughput (token/s): 1095.70, #queue-req: 0, 
[2026-01-05 19:09:19 TP0] Decode batch, #running-req: 7, #token: 23904, token usage: 0.03, cuda graph: True, gen throughput (token/s): 1066.39, #queue-req: 0, 
[2026-01-05 19:09:19 TP0] Decode batch, #running-req: 7, #token: 24184, token usage: 0.03, cuda graph: True, gen throughput (token/s): 1064.46, #queue-req: 0, 
[2026-01-05 19:09:19 TP0] Decode batch, #running-req: 6, #token: 21926, token usage: 0.03, cuda graph: True, gen throughput (token/s): 1010.12, #queue-req: 0, 
[2026-01-05 19:09:19 TP0] Decode batch, #running-req: 5, #token: 22126, token usage: 0.03, cuda graph: True, gen throughput (token/s): 777.31, #queue-req: 0, 
[2026-01-05 19:09:20 TP0] Decode batch, #running-req: 5, #token: 22326, token usage: 0.03, cuda graph: True, gen throughput (token/s): 770.94, #queue-req: 0, 
[2026-01-05 19:09:20 TP0] Decode batch, #running-req: 5, #token: 22526, token usage: 0.03, cuda graph: True, gen throughput (token/s): 770.35, #queue-req: 0, 
[2026-01-05 19:09:20 TP0] Decode batch, #running-req: 5, #token: 22726, token usage: 0.03, cuda graph: True, gen throughput (token/s): 769.91, #queue-req: 0, 
[2026-01-05 19:09:20 TP0] Decode batch, #running-req: 5, #token: 22926, token usage: 0.03, cuda graph: True, gen throughput (token/s): 771.20, #queue-req: 0, 
[2026-01-05 19:09:21 TP0] Decode batch, #running-req: 5, #token: 23126, token usage: 0.03, cuda graph: True, gen throughput (token/s): 769.46, #queue-req: 0, 
[2026-01-05 19:09:21 TP0] Decode batch, #running-req: 5, #token: 23326, token usage: 0.03, cuda graph: True, gen throughput (token/s): 769.45, #queue-req: 0, 
[2026-01-05 19:09:21 TP0] Decode batch, #running-req: 5, #token: 23526, token usage: 0.03, cuda graph: True, gen throughput (token/s): 767.71, #queue-req: 0, 
[2026-01-05 19:09:21 TP0] Decode batch, #running-req: 5, #token: 23726, token usage: 0.03, cuda graph: True, gen throughput (token/s): 766.32, #queue-req: 0, 
[2026-01-05 19:09:22 TP0] Decode batch, #running-req: 5, #token: 23926, token usage: 0.03, cuda graph: True, gen throughput (token/s): 767.75, #queue-req: 0, 
[2026-01-05 19:09:22 TP0] Decode batch, #running-req: 5, #token: 24126, token usage: 0.03, cuda graph: True, gen throughput (token/s): 767.73, #queue-req: 0, 
[2026-01-05 19:09:22 TP0] Decode batch, #running-req: 5, #token: 24326, token usage: 0.03, cuda graph: True, gen throughput (token/s): 766.77, #queue-req: 0, 
[2026-01-05 19:09:22 TP0] Decode batch, #running-req: 4, #token: 22737, token usage: 0.03, cuda graph: True, gen throughput (token/s): 663.49, #queue-req: 0, 
[2026-01-05 19:09:23] INFO:     127.0.0.1:36548 - "POST /v1/chat/completions HTTP/1.1" 200 OK

 60%|██████    | 3/5 [00:20<00:13,  6.72s/it][2026-01-05 19:09:23 TP0] Decode batch, #running-req: 3, #token: 14273, token usage: 0.02, cuda graph: True, gen throughput (token/s): 534.36, #queue-req: 0, 
[2026-01-05 19:09:23 TP0] Decode batch, #running-req: 3, #token: 14393, token usage: 0.02, cuda graph: True, gen throughput (token/s): 487.34, #queue-req: 0, 
[2026-01-05 19:09:23 TP0] Decode batch, #running-req: 3, #token: 14513, token usage: 0.02, cuda graph: True, gen throughput (token/s): 488.38, #queue-req: 0, 
[2026-01-05 19:09:23 TP0] Decode batch, #running-req: 3, #token: 14633, token usage: 0.02, cuda graph: True, gen throughput (token/s): 488.69, #queue-req: 0, 
[2026-01-05 19:09:24 TP0] Decode batch, #running-req: 3, #token: 14753, token usage: 0.02, cuda graph: True, gen throughput (token/s): 489.44, #queue-req: 0, 
[2026-01-05 19:09:24 TP0] Decode batch, #running-req: 2, #token: 12844, token usage: 0.02, cuda graph: True, gen throughput (token/s): 468.88, #queue-req: 0, 
[2026-01-05 19:09:24 TP0] Decode batch, #running-req: 2, #token: 12924, token usage: 0.02, cuda graph: True, gen throughput (token/s): 335.80, #queue-req: 0, 
[2026-01-05 19:09:24 TP0] Decode batch, #running-req: 2, #token: 13004, token usage: 0.02, cuda graph: True, gen throughput (token/s): 335.06, #queue-req: 0, 
[2026-01-05 19:09:25 TP0] Decode batch, #running-req: 2, #token: 13084, token usage: 0.02, cuda graph: True, gen throughput (token/s): 334.66, #queue-req: 0, 
[2026-01-05 19:09:25 TP0] Decode batch, #running-req: 2, #token: 13164, token usage: 0.02, cuda graph: True, gen throughput (token/s): 334.54, #queue-req: 0, 
[2026-01-05 19:09:25 TP0] Decode batch, #running-req: 2, #token: 13244, token usage: 0.02, cuda graph: True, gen throughput (token/s): 337.03, #queue-req: 0, 
[2026-01-05 19:09:25 TP0] Decode batch, #running-req: 2, #token: 13324, token usage: 0.02, cuda graph: True, gen throughput (token/s): 336.94, #queue-req: 0, 
[2026-01-05 19:09:26 TP0] Decode batch, #running-req: 2, #token: 13404, token usage: 0.02, cuda graph: True, gen throughput (token/s): 336.71, #queue-req: 0, 
[2026-01-05 19:09:26 TP0] Decode batch, #running-req: 2, #token: 13484, token usage: 0.02, cuda graph: True, gen throughput (token/s): 335.62, #queue-req: 0, 
[2026-01-05 19:09:26 TP0] Decode batch, #running-req: 2, #token: 13564, token usage: 0.02, cuda graph: True, gen throughput (token/s): 336.50, #queue-req: 0, 
[2026-01-05 19:09:26 TP0] Decode batch, #running-req: 2, #token: 13644, token usage: 0.02, cuda graph: True, gen throughput (token/s): 336.34, #queue-req: 0, 
[2026-01-05 19:09:27 TP0] Decode batch, #running-req: 2, #token: 13724, token usage: 0.02, cuda graph: True, gen throughput (token/s): 334.81, #queue-req: 0, 
[2026-01-05 19:09:27 TP0] Decode batch, #running-req: 2, #token: 13804, token usage: 0.02, cuda graph: True, gen throughput (token/s): 331.50, #queue-req: 0, 
[2026-01-05 19:09:27 TP0] Decode batch, #running-req: 2, #token: 13884, token usage: 0.02, cuda graph: True, gen throughput (token/s): 331.35, #queue-req: 0, 
[2026-01-05 19:09:27 TP0] Decode batch, #running-req: 2, #token: 13964, token usage: 0.02, cuda graph: True, gen throughput (token/s): 331.53, #queue-req: 0, 
[2026-01-05 19:09:28 TP0] Decode batch, #running-req: 2, #token: 14044, token usage: 0.02, cuda graph: True, gen throughput (token/s): 331.60, #queue-req: 0, 
[2026-01-05 19:09:28 TP0] Decode batch, #running-req: 2, #token: 14124, token usage: 0.02, cuda graph: True, gen throughput (token/s): 330.91, #queue-req: 0, 
[2026-01-05 19:09:28 TP0] Decode batch, #running-req: 2, #token: 14204, token usage: 0.02, cuda graph: True, gen throughput (token/s): 332.14, #queue-req: 0, 
[2026-01-05 19:09:28 TP0] Decode batch, #running-req: 2, #token: 14284, token usage: 0.02, cuda graph: True, gen throughput (token/s): 329.33, #queue-req: 0, 
[2026-01-05 19:09:28] INFO:     127.0.0.1:36564 - "POST /v1/chat/completions HTTP/1.1" 200 OK

 80%|████████  | 4/5 [00:26<00:06,  6.40s/it][2026-01-05 19:09:28 TP0] Decode batch, #running-req: 1, #token: 4556, token usage: 0.01, cuda graph: True, gen throughput (token/s): 315.04, #queue-req: 0, 
[2026-01-05 19:09:29 TP0] Decode batch, #running-req: 1, #token: 4596, token usage: 0.01, cuda graph: True, gen throughput (token/s): 184.08, #queue-req: 0, 
[2026-01-05 19:09:29 TP0] Decode batch, #running-req: 1, #token: 4636, token usage: 0.01, cuda graph: True, gen throughput (token/s): 183.95, #queue-req: 0, 
[2026-01-05 19:09:29 TP0] Decode batch, #running-req: 1, #token: 4676, token usage: 0.01, cuda graph: True, gen throughput (token/s): 183.73, #queue-req: 0, 
[2026-01-05 19:09:29 TP0] Decode batch, #running-req: 1, #token: 4716, token usage: 0.01, cuda graph: True, gen throughput (token/s): 183.71, #queue-req: 0, 
[2026-01-05 19:09:30 TP0] Decode batch, #running-req: 1, #token: 4756, token usage: 0.01, cuda graph: True, gen throughput (token/s): 183.83, #queue-req: 0, 
[2026-01-05 19:09:30 TP0] Decode batch, #running-req: 1, #token: 4796, token usage: 0.01, cuda graph: True, gen throughput (token/s): 184.01, #queue-req: 0, 
[2026-01-05 19:09:30 TP0] Decode batch, #running-req: 1, #token: 4836, token usage: 0.01, cuda graph: True, gen throughput (token/s): 184.06, #queue-req: 0, 
[2026-01-05 19:09:30 TP0] Decode batch, #running-req: 1, #token: 4876, token usage: 0.01, cuda graph: True, gen throughput (token/s): 183.65, #queue-req: 0, 
[2026-01-05 19:09:30 TP0] Decode batch, #running-req: 1, #token: 4916, token usage: 0.01, cuda graph: True, gen throughput (token/s): 183.73, #queue-req: 0, 
[2026-01-05 19:09:31 TP0] Decode batch, #running-req: 1, #token: 4956, token usage: 0.01, cuda graph: True, gen throughput (token/s): 183.55, #queue-req: 0, 
[2026-01-05 19:09:31 TP0] Decode batch, #running-req: 1, #token: 4996, token usage: 0.01, cuda graph: True, gen throughput (token/s): 183.56, #queue-req: 0, 
[2026-01-05 19:09:31 TP0] Decode batch, #running-req: 1, #token: 5036, token usage: 0.01, cuda graph: True, gen throughput (token/s): 183.75, #queue-req: 0, 
[2026-01-05 19:09:31 TP0] Decode batch, #running-req: 1, #token: 5076, token usage: 0.01, cuda graph: True, gen throughput (token/s): 183.75, #queue-req: 0, 
[2026-01-05 19:09:32 TP0] Decode batch, #running-req: 1, #token: 5116, token usage: 0.01, cuda graph: True, gen throughput (token/s): 183.69, #queue-req: 0, 
[2026-01-05 19:09:32 TP0] Decode batch, #running-req: 1, #token: 5156, token usage: 0.01, cuda graph: True, gen throughput (token/s): 183.14, #queue-req: 0, 
[2026-01-05 19:09:32 TP0] Decode batch, #running-req: 1, #token: 5196, token usage: 0.01, cuda graph: True, gen throughput (token/s): 183.20, #queue-req: 0, 
[2026-01-05 19:09:32 TP0] Decode batch, #running-req: 1, #token: 5236, token usage: 0.01, cuda graph: True, gen throughput (token/s): 182.83, #queue-req: 0, 
[2026-01-05 19:09:32 TP0] Decode batch, #running-req: 1, #token: 5276, token usage: 0.01, cuda graph: True, gen throughput (token/s): 183.12, #queue-req: 0, 
[2026-01-05 19:09:33 TP0] Decode batch, #running-req: 1, #token: 5316, token usage: 0.01, cuda graph: True, gen throughput (token/s): 183.06, #queue-req: 0, 
[2026-01-05 19:09:33 TP0] Decode batch, #running-req: 1, #token: 5356, token usage: 0.01, cuda graph: True, gen throughput (token/s): 183.19, #queue-req: 0, 
[2026-01-05 19:09:33 TP0] Decode batch, #running-req: 1, #token: 5396, token usage: 0.01, cuda graph: True, gen throughput (token/s): 182.92, #queue-req: 0, 
[2026-01-05 19:09:33 TP0] Decode batch, #running-req: 1, #token: 5436, token usage: 0.01, cuda graph: True, gen throughput (token/s): 182.73, #queue-req: 0, 
[2026-01-05 19:09:33 TP0] Decode batch, #running-req: 1, #token: 5476, token usage: 0.01, cuda graph: True, gen throughput (token/s): 182.78, #queue-req: 0, 
[2026-01-05 19:09:34 TP0] Decode batch, #running-req: 1, #token: 5516, token usage: 0.01, cuda graph: True, gen throughput (token/s): 182.51, #queue-req: 0, 
[2026-01-05 19:09:34 TP0] Decode batch, #running-req: 1, #token: 5556, token usage: 0.01, cuda graph: True, gen throughput (token/s): 182.96, #queue-req: 0, 
[2026-01-05 19:09:34 TP0] Decode batch, #running-req: 1, #token: 5596, token usage: 0.01, cuda graph: True, gen throughput (token/s): 182.80, #queue-req: 0, 
[2026-01-05 19:09:34 TP0] Decode batch, #running-req: 1, #token: 5636, token usage: 0.01, cuda graph: True, gen throughput (token/s): 182.75, #queue-req: 0, 
[2026-01-05 19:09:35 TP0] Decode batch, #running-req: 1, #token: 5676, token usage: 0.01, cuda graph: True, gen throughput (token/s): 182.71, #queue-req: 0, 
[2026-01-05 19:09:35 TP0] Decode batch, #running-req: 1, #token: 5716, token usage: 0.01, cuda graph: True, gen throughput (token/s): 182.51, #queue-req: 0, 
[2026-01-05 19:09:35 TP0] Decode batch, #running-req: 1, #token: 5756, token usage: 0.01, cuda graph: True, gen throughput (token/s): 182.62, #queue-req: 0, 
[2026-01-05 19:09:35 TP0] Decode batch, #running-req: 1, #token: 5796, token usage: 0.01, cuda graph: True, gen throughput (token/s): 182.68, #queue-req: 0, 
[2026-01-05 19:09:35 TP0] Decode batch, #running-req: 1, #token: 5836, token usage: 0.01, cuda graph: True, gen throughput (token/s): 182.67, #queue-req: 0, 
[2026-01-05 19:09:36 TP0] Decode batch, #running-req: 1, #token: 5876, token usage: 0.01, cuda graph: True, gen throughput (token/s): 182.66, #queue-req: 0, 
[2026-01-05 19:09:36 TP0] Decode batch, #running-req: 1, #token: 5916, token usage: 0.01, cuda graph: True, gen throughput (token/s): 182.57, #queue-req: 0, 
[2026-01-05 19:09:36 TP0] Decode batch, #running-req: 1, #token: 5956, token usage: 0.01, cuda graph: True, gen throughput (token/s): 182.34, #queue-req: 0, 
[2026-01-05 19:09:36] INFO:     127.0.0.1:36532 - "POST /v1/chat/completions HTTP/1.1" 200 OK

100%|██████████| 5/5 [00:34<00:00,  6.87s/it]
100%|██████████| 5/5 [00:34<00:00,  6.90s/it]
[2026-01-05 19:09:36] SIGTERM received. signum=None frame=None. Draining requests and shutting down...
[2026-01-05 19:09:39] Gracefully exiting... Remaining number of requests 0. Remaining requests remaining_rids=[].

==================================================
--- Evaluation Complete ---
==================================================
Total Test Cases: 5
Number of Samples per Task: 10
Total Exact Match Pass At N: 3
Total Exact Match Avg At N: 42.00%
Generations output file: data/eval/output/13032821/qwen8B_no_lora_bs_8_13032821_0_generations.jsonl
Shutting down sglang server ...
Done
/p/project1/envcomp/mahajan1/miles/tab-model-eval/.venv/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py:160: UserWarning: torch.distributed is disabled, unavailable or uninitialized, assuming the intent is to load in a single process.
  warnings.warn(
Loading config from /p/scratch/envcomp/mihir/huggingface/Qwen3-8B
Initialising empty model (on CPU)...
Loading sharded weights from /p/scratch/envcomp/mihir/huggingface/shared_data/13032821/checkpoints/iter_0001000/model...
Saving merged model to /p/scratch/envcomp/mihir/huggingface/shared_data/13032821/checkpoints/merged_1000...
Merge complete!
Not using LORA
Generating for step 1000...
/p/project1/envcomp/mahajan1/miles/tab-model-eval/.venv/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py:160: UserWarning: torch.distributed is disabled, unavailable or uninitialized, assuming the intent is to load in a single process.
  warnings.warn(
Loading config from /p/scratch/envcomp/mihir/huggingface/Qwen3-8B
Initialising empty model (on CPU)...
Loading sharded weights from /p/scratch/envcomp/mihir/huggingface/shared_data/13032821/checkpoints/iter_0002000/model...
Saving merged model to /p/scratch/envcomp/mihir/huggingface/shared_data/13032821/checkpoints/merged_2000...
Merge complete!
Not using LORA
Generating for step 2000...
/p/project1/envcomp/mahajan1/miles/tab-model-eval/.venv/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py:160: UserWarning: torch.distributed is disabled, unavailable or uninitialized, assuming the intent is to load in a single process.
  warnings.warn(
Loading config from /p/scratch/envcomp/mihir/huggingface/Qwen3-8B
Initialising empty model (on CPU)...
Loading sharded weights from /p/scratch/envcomp/mihir/huggingface/shared_data/13032821/checkpoints/iter_0003000/model...
Saving merged model to /p/scratch/envcomp/mihir/huggingface/shared_data/13032821/checkpoints/merged_3000...
Merge complete!
Not using LORA
Generating for step 3000...
/p/project1/envcomp/mahajan1/miles/tab-model-eval/.venv/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py:160: UserWarning: torch.distributed is disabled, unavailable or uninitialized, assuming the intent is to load in a single process.
  warnings.warn(
Loading config from /p/scratch/envcomp/mihir/huggingface/Qwen3-8B
Initialising empty model (on CPU)...
Loading sharded weights from /p/scratch/envcomp/mihir/huggingface/shared_data/13032821/checkpoints/iter_0004000/model...
Saving merged model to /p/scratch/envcomp/mihir/huggingface/shared_data/13032821/checkpoints/merged_4000...
Merge complete!
Not using LORA
Generating for step 4000...
/p/project1/envcomp/mahajan1/miles/tab-model-eval/.venv/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py:160: UserWarning: torch.distributed is disabled, unavailable or uninitialized, assuming the intent is to load in a single process.
  warnings.warn(
Loading config from /p/scratch/envcomp/mihir/huggingface/Qwen3-8B
Initialising empty model (on CPU)...
Loading sharded weights from /p/scratch/envcomp/mihir/huggingface/shared_data/13032821/checkpoints/iter_0005000/model...
Saving merged model to /p/scratch/envcomp/mihir/huggingface/shared_data/13032821/checkpoints/merged_5000...
Merge complete!
Not using LORA
Generating for step 5000...
/p/project1/envcomp/mahajan1/miles/tab-model-eval/.venv/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py:160: UserWarning: torch.distributed is disabled, unavailable or uninitialized, assuming the intent is to load in a single process.
  warnings.warn(