developer_uid: chai_backend_admin
submission_id: chaiml-1107-quang-ir-mi_66185_v1
model_name: training123
model_group: ChaiML/1107-quang-ir-mix
status: torndown
timestamp: 2025-11-10T20:46:29+00:00
num_battles: 5538
num_wins: 2759
celo_rating: 1289.24
family_friendly_score: 0.0
family_friendly_standard_error: 0.0
submission_type: basic
model_repo: ChaiML/1107-quang-ir-mixall-cld-i8a6-dpohrd-f5000-dpo_0164641ep_2e6cs
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': 0.33427669250679964, 'latency_mean': 2.991413958072662, 'latency_p50': 2.6939748525619507, 'latency_p90': 4.9781527519226065}, {'batch_size': 2, 'throughput': 0.5704076689372768, 'latency_mean': 3.500598353147507, 'latency_p50': 3.498745322227478, 'latency_p90': 3.8070905685424803}, {'batch_size': 3, 'throughput': 0.7058380643129386, 'latency_mean': 4.245601618289948, 'latency_p50': 4.2657307386398315, 'latency_p90': 4.835938906669616}, {'batch_size': 4, 'throughput': 0.8061844790974169, 'latency_mean': 4.933396220207214, 'latency_p50': 4.883390784263611, 'latency_p90': 5.561375451087951}, {'batch_size': 5, 'throughput': 0.8569187455569396, 'latency_mean': 5.791863030195236, 'latency_p50': 5.766799688339233, 'latency_p90': 6.625588297843933}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: training123
is_internal_developer: True
language_model: ChaiML/1107-quang-ir-mixall-cld-i8a6-dpohrd-f5000-dpo_0164641ep_2e6cs
model_size: 24B
ranking_group: single
throughput_3p7s: 0.61
us_pacific_date: 2025-11-07
win_ratio: 0.4981942939689419
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', 'You:', '</s>'], '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
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Running pipeline stage MKMLizer
Starting job with name chaiml-1107-quang-ir-mi-66185-v1-mkmlizer
Waiting for job on chaiml-1107-quang-ir-mi-66185-v1-mkmlizer to finish
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chaiml-1107-quang-ir-mi-66185-v1-mkmlizer: ║ ║
chaiml-1107-quang-ir-mi-66185-v1-mkmlizer: ║ Version: 0.30.2 ║
chaiml-1107-quang-ir-mi-66185-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-1107-quang-ir-mi-66185-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-1107-quang-ir-mi-66185-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-1107-quang-ir-mi-66185-v1-mkmlizer: ║ ║
chaiml-1107-quang-ir-mi-66185-v1-mkmlizer: ║ The license key for the current software has been verified as ║
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chaiml-1107-quang-ir-mi-66185-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-1107-quang-ir-mi-66185-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-1107-quang-ir-mi-66185-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
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chaiml-1107-quang-ir-mi-66185-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Failed to get response for submission mistralai-mistral-nem_93303_v569: ('http://mistralai-mistral-nem-93303-v569-predictor.tenant-chaiml-guanaco.k2.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
chaiml-1107-quang-ir-mi-66185-v1-mkmlizer: Downloaded to shared memory in 69.269s
chaiml-1107-quang-ir-mi-66185-v1-mkmlizer: Checking if ChaiML/1107-quang-ir-mixall-cld-i8a6-dpohrd-f5000-dpo_0164641ep_2e6cs already exists in ChaiML
chaiml-1107-quang-ir-mi-66185-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp4q9771_q, device:0
chaiml-1107-quang-ir-mi-66185-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-1107-quang-ir-mi-66185-v1-mkmlizer: quantized model in 41.904s
chaiml-1107-quang-ir-mi-66185-v1-mkmlizer: Processed model ChaiML/1107-quang-ir-mixall-cld-i8a6-dpohrd-f5000-dpo_0164641ep_2e6cs in 111.174s
chaiml-1107-quang-ir-mi-66185-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-1107-quang-ir-mi-66185-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-1107-quang-ir-mi-66185-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-1107-quang-ir-mi-66185-v1/nvidia
chaiml-1107-quang-ir-mi-66185-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-1107-quang-ir-mi-66185-v1/nvidia/config.json
chaiml-1107-quang-ir-mi-66185-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-1107-quang-ir-mi-66185-v1/nvidia/special_tokens_map.json
chaiml-1107-quang-ir-mi-66185-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-1107-quang-ir-mi-66185-v1/nvidia/tokenizer_config.json
chaiml-1107-quang-ir-mi-66185-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-1107-quang-ir-mi-66185-v1/nvidia/tokenizer.json
chaiml-1107-quang-ir-mi-66185-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-1107-quang-ir-mi-66185-v1/nvidia/flywheel_model.1.safetensors
chaiml-1107-quang-ir-mi-66185-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-1107-quang-ir-mi-66185-v1/nvidia/flywheel_model.0.safetensors
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Job chaiml-1107-quang-ir-mi-66185-v1-mkmlizer completed after 205.79s with status: succeeded
Stopping job with name chaiml-1107-quang-ir-mi-66185-v1-mkmlizer
Pipeline stage MKMLizer completed in 206.35s
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Creating inference service chaiml-1107-quang-ir-mi-66185-v1
Waiting for inference service chaiml-1107-quang-ir-mi-66185-v1 to be ready
Inference service chaiml-1107-quang-ir-mi-66185-v1 ready after 171.0605251789093s
Pipeline stage MKMLDeployer completed in 171.65s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.6501028537750244s
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Received healthy response to inference request in 2.224416494369507s
Received healthy response to inference request in 2.364673376083374s
Received healthy response to inference request in 2.4910473823547363s
5 requests
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5th percentile: 2.2285614013671875
10th percentile: 2.232706308364868
20th percentile: 2.2409961223602295
30th percentile: 2.269047498703003
40th percentile: 2.3168604373931885
50th percentile: 2.364673376083374
60th percentile: 2.415222978591919
70th percentile: 2.465772581100464
80th percentile: 2.522858476638794
90th percentile: 2.586480665206909
95th percentile: 2.6182917594909667
99th percentile: 2.643740634918213
mean time: 2.3950762271881105
Pipeline stage StressChecker completed in 13.72s
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