developer_uid: chai_backend_admin
submission_id: chaiml-ir-v3-4-dpo-irv0f_3260_v1
model_name: training123
model_group: ChaiML/ir-v3-4-dpo_irv0f
status: torndown
timestamp: 2025-11-17T13:16:31+00:00
num_battles: 6383
num_wins: 3251
celo_rating: 1292.85
family_friendly_score: 0.0
family_friendly_standard_error: 0.0
submission_type: basic
model_repo: ChaiML/ir-v3-4-dpo_irv0fullpyg
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': 0.37371466797282804, 'latency_mean': 2.6757277250289917, 'latency_p50': 2.678100109100342, 'latency_p90': 2.929746222496033}, {'batch_size': 2, 'throughput': 0.5523286658965282, 'latency_mean': 3.613423852920532, 'latency_p50': 3.626803398132324, 'latency_p90': 3.920777177810669}, {'batch_size': 3, 'throughput': 0.6748305815129987, 'latency_mean': 4.427009390592575, 'latency_p50': 4.407195448875427, 'latency_p90': 5.001068019866943}, {'batch_size': 4, 'throughput': 0.7699463443751405, 'latency_mean': 5.180333551168442, 'latency_p50': 5.182057738304138, 'latency_p90': 5.78854455947876}, {'batch_size': 5, 'throughput': 0.8241961790421054, 'latency_mean': 6.051288194656372, 'latency_p50': 6.050435781478882, 'latency_p90': 6.912726092338562}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: training123
is_internal_developer: True
language_model: ChaiML/ir-v3-4-dpo_irv0fullpyg
model_size: 24B
ranking_group: single
throughput_3p7s: 0.57
us_pacific_date: 2025-11-14
win_ratio: 0.509321635594548
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': ['User:', 'You:', '\n', '</s>'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{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-ir-v3-4-dpo-irv0f-3260-v1-mkmlizer
Waiting for job on chaiml-ir-v3-4-dpo-irv0f-3260-v1-mkmlizer to finish
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chaiml-ir-v3-4-dpo-irv0f-3260-v1-mkmlizer: ║ ░███ ░███ ░███ ░░███ ░███ ║
chaiml-ir-v3-4-dpo-irv0f-3260-v1-mkmlizer: ║ █████ █████ █████ ░░████ █████ ║
chaiml-ir-v3-4-dpo-irv0f-3260-v1-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
chaiml-ir-v3-4-dpo-irv0f-3260-v1-mkmlizer: ║ ║
chaiml-ir-v3-4-dpo-irv0f-3260-v1-mkmlizer: ║ Version: 0.30.2 ║
chaiml-ir-v3-4-dpo-irv0f-3260-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-ir-v3-4-dpo-irv0f-3260-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-ir-v3-4-dpo-irv0f-3260-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-ir-v3-4-dpo-irv0f-3260-v1-mkmlizer: ║ ║
chaiml-ir-v3-4-dpo-irv0f-3260-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-ir-v3-4-dpo-irv0f-3260-v1-mkmlizer: ║ belonging to: ║
chaiml-ir-v3-4-dpo-irv0f-3260-v1-mkmlizer: ║ ║
chaiml-ir-v3-4-dpo-irv0f-3260-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-ir-v3-4-dpo-irv0f-3260-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-ir-v3-4-dpo-irv0f-3260-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-ir-v3-4-dpo-irv0f-3260-v1-mkmlizer: ║ ║
chaiml-ir-v3-4-dpo-irv0f-3260-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-ir-v3-4-dpo-irv0f-3260-v1-mkmlizer: Downloaded to shared memory in 65.535s
chaiml-ir-v3-4-dpo-irv0f-3260-v1-mkmlizer: Checking if ChaiML/ir-v3-4-dpo_irv0fullpyg already exists in ChaiML
chaiml-ir-v3-4-dpo-irv0f-3260-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp_ch2vnmr, device:0
chaiml-ir-v3-4-dpo-irv0f-3260-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-ir-v3-4-dpo-irv0f-3260-v1-mkmlizer: quantized model in 42.206s
chaiml-ir-v3-4-dpo-irv0f-3260-v1-mkmlizer: Processed model ChaiML/ir-v3-4-dpo_irv0fullpyg in 107.742s
chaiml-ir-v3-4-dpo-irv0f-3260-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-ir-v3-4-dpo-irv0f-3260-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-ir-v3-4-dpo-irv0f-3260-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-ir-v3-4-dpo-irv0f-3260-v1/nvidia
chaiml-ir-v3-4-dpo-irv0f-3260-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-ir-v3-4-dpo-irv0f-3260-v1/nvidia/config.json
chaiml-ir-v3-4-dpo-irv0f-3260-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-ir-v3-4-dpo-irv0f-3260-v1/nvidia/special_tokens_map.json
chaiml-ir-v3-4-dpo-irv0f-3260-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-ir-v3-4-dpo-irv0f-3260-v1/nvidia/tokenizer_config.json
chaiml-ir-v3-4-dpo-irv0f-3260-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-ir-v3-4-dpo-irv0f-3260-v1/nvidia/tokenizer.json
chaiml-ir-v3-4-dpo-irv0f-3260-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-ir-v3-4-dpo-irv0f-3260-v1/nvidia/flywheel_model.1.safetensors
chaiml-ir-v3-4-dpo-irv0f-3260-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-ir-v3-4-dpo-irv0f-3260-v1/nvidia/flywheel_model.0.safetensors
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Job chaiml-ir-v3-4-dpo-irv0f-3260-v1-mkmlizer completed after 154.8s with status: succeeded
Stopping job with name chaiml-ir-v3-4-dpo-irv0f-3260-v1-mkmlizer
Pipeline stage MKMLizer completed in 155.30s
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Creating inference service chaiml-ir-v3-4-dpo-irv0f-3260-v1
Waiting for inference service chaiml-ir-v3-4-dpo-irv0f-3260-v1 to be ready
Inference service chaiml-ir-v3-4-dpo-irv0f-3260-v1 ready after 161.31964588165283s
Pipeline stage MKMLDeployer completed in 161.94s
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Running pipeline stage StressChecker
Received healthy response to inference request in 3.147867202758789s
Received healthy response to inference request in 2.1738338470458984s
Received healthy response to inference request in 2.4142487049102783s
Received healthy response to inference request in 2.429753065109253s
Received healthy response to inference request in 2.3555102348327637s
5 requests
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5th percentile: 2.2101691246032713
10th percentile: 2.2465044021606446
20th percentile: 2.319174957275391
30th percentile: 2.3672579288482667
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50th percentile: 2.4142487049102783
60th percentile: 2.420450448989868
70th percentile: 2.426652193069458
80th percentile: 2.5733758926391603
90th percentile: 2.8606215476989747
95th percentile: 3.0042443752288817
99th percentile: 3.1191426372528075
mean time: 2.5042426109313967
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