chaiml-1106-quang-ir-mi_87291

developer_uid: chai_backend_admin

submission_id: chaiml-1106-quang-ir-mi_87291_v1

model_name: training123

model_group: ChaiML/1106-quang-ir-mix

status: torndown

timestamp: 2025-11-09T16:56:32+00:00

num_battles: 5312

num_wins: 2680

celo_rating: 1294.72

family_friendly_score: 0.0

family_friendly_standard_error: 0.0

submission_type: basic

model_repo: ChaiML/1106-quang-ir-mixall-cld-i8a8-hl-mult-f5000-dpo_0132641ep

model_architecture: MistralForCausalLM

model_num_parameters: 24096691200.0

best_of: 8

max_input_tokens: 2048

max_output_tokens: 64

reward_model: default

latencies: [{'batch_size': 1, 'throughput': 0.375494758108516, 'latency_mean': 2.6630322194099425, 'latency_p50': 2.6686702966690063, 'latency_p90': 2.9274274826049806}, {'batch_size': 2, 'throughput': 0.5560993649192341, 'latency_mean': 3.590041415691376, 'latency_p50': 3.6144866943359375, 'latency_p90': 3.8762871503829954}, {'batch_size': 3, 'throughput': 0.6836993314114641, 'latency_mean': 4.375576664209365, 'latency_p50': 4.3712979555130005, 'latency_p90': 4.922564315795898}, {'batch_size': 4, 'throughput': 0.775775361978033, 'latency_mean': 5.1384978926181795, 'latency_p50': 5.154330015182495, 'latency_p90': 5.813462233543396}, {'batch_size': 5, 'throughput': 0.8377612852277705, 'latency_mean': 5.955232218503952, 'latency_p50': 5.975995898246765, 'latency_p90': 6.813597559928894}]

gpu_counts: {'NVIDIA L40S': 1}

display_name: training123

is_internal_developer: True

language_model: ChaiML/1106-quang-ir-mixall-cld-i8a8-hl-mult-f5000-dpo_0132641ep

model_size: 24B

ranking_group: single

throughput_3p7s: 0.58

us_pacific_date: 2025-11-06

win_ratio: 0.5045180722891566

generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '####', '</s>', 'You:'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 64}

formatter: {'memory_template': "{bot_name}'s persona: {memory}", 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': 'You: {message}\n', 'response_template': '####\n{bot_name}:', 'truncate_by_message': True}

Resubmit model

Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name chaiml-1106-quang-ir-mi-87291-v1-mkmlizer
Waiting for job on chaiml-1106-quang-ir-mi-87291-v1-mkmlizer to finish
chaiml-1106-quang-ir-mi-87291-v1-mkmlizer: Downloaded to shared memory in 50.754s
chaiml-1106-quang-ir-mi-87291-v1-mkmlizer: Checking if ChaiML/1106-quang-ir-mixall-cld-i8a8-hl-mult-f5000-dpo_0132641ep already exists in ChaiML
chaiml-1106-quang-ir-mi-87291-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpham7y8z8, device:0
chaiml-1106-quang-ir-mi-87291-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-1106-quang-ir-mi-87291-v1-mkmlizer: quantized model in 42.099s
chaiml-1106-quang-ir-mi-87291-v1-mkmlizer: Processed model ChaiML/1106-quang-ir-mixall-cld-i8a8-hl-mult-f5000-dpo_0132641ep in 92.854s
chaiml-1106-quang-ir-mi-87291-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-1106-quang-ir-mi-87291-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-1106-quang-ir-mi-87291-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-1106-quang-ir-mi-87291-v1/nvidia
chaiml-1106-quang-ir-mi-87291-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-1106-quang-ir-mi-87291-v1/nvidia/config.json
chaiml-1106-quang-ir-mi-87291-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-1106-quang-ir-mi-87291-v1/nvidia/special_tokens_map.json
chaiml-1106-quang-ir-mi-87291-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-1106-quang-ir-mi-87291-v1/nvidia/tokenizer_config.json
chaiml-1106-quang-ir-mi-87291-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-1106-quang-ir-mi-87291-v1/nvidia/tokenizer.json
chaiml-1106-quang-ir-mi-87291-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-1106-quang-ir-mi-87291-v1/nvidia/flywheel_model.0.safetensors
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Job chaiml-1106-quang-ir-mi-87291-v1-mkmlizer completed after 224.99s with status: succeeded
Stopping job with name chaiml-1106-quang-ir-mi-87291-v1-mkmlizer
Pipeline stage MKMLizer completed in 225.61s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-1106-quang-ir-mi-87291-v1
Waiting for inference service chaiml-1106-quang-ir-mi-87291-v1 to be ready
Failed to get response for submission chaiml-prm-v1-pair-new8_86832_v1: HTTPConnectionPool(host='chaiml-prm-v1-pair-new8-86832-v1-predictor.tenant-chaiml-guanaco.kchai-coreweave-us-east-04a.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service chaiml-1106-quang-ir-mi-87291-v1 ready after 171.34048771858215s
Pipeline stage MKMLDeployer completed in 171.96s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.341268301010132s
Received healthy response to inference request in 2.24997878074646s
Received healthy response to inference request in 2.399163007736206s
Received healthy response to inference request in 2.231884717941284s
Received healthy response to inference request in 2.1027603149414062s
5 requests
0 failed requests
5th percentile: 2.128585195541382
10th percentile: 2.1544100761413576
20th percentile: 2.2060598373413085
30th percentile: 2.2355035305023194
40th percentile: 2.2427411556243895
50th percentile: 2.24997878074646
60th percentile: 2.286494588851929
70th percentile: 2.3230103969573976
80th percentile: 2.3528472423553466
90th percentile: 2.3760051250457765
95th percentile: 2.3875840663909913
99th percentile: 2.3968472194671633
mean time: 2.265011024475098
Pipeline stage StressChecker completed in 12.56s
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
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Pipeline stage OfflineFamilyFriendlyScorer completed in 5892.88s
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