developer_uid: chai_backend_admin
submission_id: chaiml-ir-v3-2-dpo-irv13-lr15_v1
model_name: training123
model_group: ChaiML/ir-v3-2-dpo_irv13
status: torndown
timestamp: 2025-11-17T22:01:28+00:00
num_battles: 7353
num_wins: 3914
celo_rating: 1305.23
family_friendly_score: 0.0
family_friendly_standard_error: 0.0
submission_type: basic
model_repo: ChaiML/ir-v3-2-dpo_irv13-lr15
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': 0.36884712096789724, 'latency_mean': 2.71102774143219, 'latency_p50': 2.726544737815857, 'latency_p90': 2.9556963443756104}, {'batch_size': 2, 'throughput': 0.5432080733358097, 'latency_mean': 3.6743186151981355, 'latency_p50': 3.6729384660720825, 'latency_p90': 4.002341198921203}, {'batch_size': 3, 'throughput': 0.6609494246648597, 'latency_mean': 4.53645733833313, 'latency_p50': 4.571376204490662, 'latency_p90': 5.004135775566101}, {'batch_size': 4, 'throughput': 0.7472083340861957, 'latency_mean': 5.33685265660286, 'latency_p50': 5.374200463294983, 'latency_p90': 6.061634540557861}, {'batch_size': 5, 'throughput': 0.8044747936041405, 'latency_mean': 6.1825750386714935, 'latency_p50': 6.190159201622009, 'latency_p90': 7.082217979431152}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: training123
is_internal_developer: True
language_model: ChaiML/ir-v3-2-dpo_irv13-lr15
model_size: 24B
ranking_group: single
throughput_3p7s: 0.55
us_pacific_date: 2025-11-14
win_ratio: 0.5322997416020672
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:', '</s>', '\n'], '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-v3-2-dpo-irv13-lr15-v1-mkmlizer
Waiting for job on chaiml-ir-v3-2-dpo-irv13-lr15-v1-mkmlizer to finish
chaiml-ir-v3-2-dpo-irv13-lr15-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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chaiml-ir-v3-2-dpo-irv13-lr15-v1-mkmlizer: ║ ░███ ░███ ░███ ░░███ ░███ ║
chaiml-ir-v3-2-dpo-irv13-lr15-v1-mkmlizer: ║ █████ █████ █████ ░░████ █████ ║
chaiml-ir-v3-2-dpo-irv13-lr15-v1-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
chaiml-ir-v3-2-dpo-irv13-lr15-v1-mkmlizer: ║ ║
chaiml-ir-v3-2-dpo-irv13-lr15-v1-mkmlizer: ║ Version: 0.30.2 ║
chaiml-ir-v3-2-dpo-irv13-lr15-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-ir-v3-2-dpo-irv13-lr15-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-ir-v3-2-dpo-irv13-lr15-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-ir-v3-2-dpo-irv13-lr15-v1-mkmlizer: ║ ║
chaiml-ir-v3-2-dpo-irv13-lr15-v1-mkmlizer: ║ The license key for the current software has been verified as ║
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chaiml-ir-v3-2-dpo-irv13-lr15-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-ir-v3-2-dpo-irv13-lr15-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-ir-v3-2-dpo-irv13-lr15-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-ir-v3-2-dpo-irv13-lr15-v1-mkmlizer: ║ ║
chaiml-ir-v3-2-dpo-irv13-lr15-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Failed to get response for submission chaiml-ir-v3-4-dpo-irv13_v3: ('http://chaiml-ir-v3-4-dpo-irv13-v3-predictor.tenant-chaiml-guanaco.kchai-coreweave-us-east-04a.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:39108->127.0.0.1:8080: read: connection reset by peer\n')
chaiml-ir-v3-2-dpo-irv13-lr15-v1-mkmlizer: Downloaded to shared memory in 71.820s
chaiml-ir-v3-2-dpo-irv13-lr15-v1-mkmlizer: Checking if ChaiML/ir-v3-2-dpo_irv13-lr15 already exists in ChaiML
chaiml-ir-v3-2-dpo-irv13-lr15-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpt0553i3q, device:0
chaiml-ir-v3-2-dpo-irv13-lr15-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-ir-v3-2-dpo-irv13-lr15-v1-mkmlizer: quantized model in 41.290s
chaiml-ir-v3-2-dpo-irv13-lr15-v1-mkmlizer: Processed model ChaiML/ir-v3-2-dpo_irv13-lr15 in 113.111s
chaiml-ir-v3-2-dpo-irv13-lr15-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-ir-v3-2-dpo-irv13-lr15-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-ir-v3-2-dpo-irv13-lr15-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-ir-v3-2-dpo-irv13-lr15-v1/nvidia
chaiml-ir-v3-2-dpo-irv13-lr15-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-ir-v3-2-dpo-irv13-lr15-v1/nvidia/config.json
chaiml-ir-v3-2-dpo-irv13-lr15-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-ir-v3-2-dpo-irv13-lr15-v1/nvidia/special_tokens_map.json
chaiml-ir-v3-2-dpo-irv13-lr15-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-ir-v3-2-dpo-irv13-lr15-v1/nvidia/tokenizer_config.json
chaiml-ir-v3-2-dpo-irv13-lr15-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-ir-v3-2-dpo-irv13-lr15-v1/nvidia/tokenizer.json
chaiml-ir-v3-2-dpo-irv13-lr15-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-ir-v3-2-dpo-irv13-lr15-v1/nvidia/flywheel_model.1.safetensors
chaiml-ir-v3-2-dpo-irv13-lr15-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-ir-v3-2-dpo-irv13-lr15-v1/nvidia/flywheel_model.0.safetensors
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Job chaiml-ir-v3-2-dpo-irv13-lr15-v1-mkmlizer completed after 186.75s with status: succeeded
Stopping job with name chaiml-ir-v3-2-dpo-irv13-lr15-v1-mkmlizer
Pipeline stage MKMLizer completed in 187.38s
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-ir-v3-2-dpo-irv13-lr15-v1
Waiting for inference service chaiml-ir-v3-2-dpo-irv13-lr15-v1 to be ready
Inference service chaiml-ir-v3-2-dpo-irv13-lr15-v1 ready after 160.86777663230896s
Pipeline stage MKMLDeployer completed in 161.61s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.8313138484954834s
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Received healthy response to inference request in 2.302873134613037s
5 requests
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5th percentile: 2.265787410736084
10th percentile: 2.2750588417053224
20th percentile: 2.293601703643799
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70th percentile: 2.5627058029174803
80th percentile: 2.619868612289429
90th percentile: 2.725591230392456
95th percentile: 2.7784525394439696
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mean time: 2.500642013549805
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