developer_uid: chai_backend_admin
submission_id: chaiml-ir-v3-1-dpo-irv0_43171_v1
model_name: training123
model_group: ChaiML/ir-v3-1-dpo_irv0-
status: inactive
timestamp: 2025-10-29T03:16:46+00:00
num_battles: 6420
num_wins: 3306
celo_rating: 1297.62
family_friendly_score: 0.4132
family_friendly_standard_error: 0.006963702463488802
submission_type: basic
model_repo: ChaiML/ir-v3-1-dpo_irv0-lr5e6b01
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': 0.38282366057034345, 'latency_mean': 2.612045073509216, 'latency_p50': 2.617652416229248, 'latency_p90': 2.845617961883545}, {'batch_size': 2, 'throughput': 0.5804718890120705, 'latency_mean': 3.431792747974396, 'latency_p50': 3.468849301338196, 'latency_p90': 3.753939127922058}, {'batch_size': 3, 'throughput': 0.7192280652211877, 'latency_mean': 4.154154819250107, 'latency_p50': 4.192561984062195, 'latency_p90': 4.514411759376525}, {'batch_size': 4, 'throughput': 0.8286097334011523, 'latency_mean': 4.813526585102081, 'latency_p50': 4.806202411651611, 'latency_p90': 5.418638062477112}, {'batch_size': 5, 'throughput': 0.8898601319653701, 'latency_mean': 5.579637402296067, 'latency_p50': 5.593764305114746, 'latency_p90': 6.362092757225036}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: training123
is_internal_developer: True
language_model: ChaiML/ir-v3-1-dpo_irv0-lr5e6b01
model_size: 24B
ranking_group: single
throughput_3p7s: 0.64
us_pacific_date: 2025-10-28
win_ratio: 0.5149532710280373
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:', '</s>', 'You:', '\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
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Running pipeline stage MKMLizer
Starting job with name chaiml-ir-v3-1-dpo-irv0-43171-v1-mkmlizer
Waiting for job on chaiml-ir-v3-1-dpo-irv0-43171-v1-mkmlizer to finish
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chaiml-ir-v3-1-dpo-irv0-43171-v1-mkmlizer: ║ ║
chaiml-ir-v3-1-dpo-irv0-43171-v1-mkmlizer: ║ Version: 0.30.2 ║
chaiml-ir-v3-1-dpo-irv0-43171-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-ir-v3-1-dpo-irv0-43171-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-ir-v3-1-dpo-irv0-43171-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-ir-v3-1-dpo-irv0-43171-v1-mkmlizer: ║ ║
chaiml-ir-v3-1-dpo-irv0-43171-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-ir-v3-1-dpo-irv0-43171-v1-mkmlizer: ║ belonging to: ║
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chaiml-ir-v3-1-dpo-irv0-43171-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-ir-v3-1-dpo-irv0-43171-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-ir-v3-1-dpo-irv0-43171-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-ir-v3-1-dpo-irv0-43171-v1-mkmlizer: ║ ║
chaiml-ir-v3-1-dpo-irv0-43171-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-ir-v3-1-dpo-irv0-43171-v1-mkmlizer: Downloaded to shared memory in 92.803s
chaiml-ir-v3-1-dpo-irv0-43171-v1-mkmlizer: Checking if ChaiML/ir-v3-1-dpo_irv0-lr5e6b01 already exists in ChaiML
chaiml-ir-v3-1-dpo-irv0-43171-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpls51t_fo, device:0
chaiml-ir-v3-1-dpo-irv0-43171-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-ir-v3-1-dpo-irv0-43171-v1-mkmlizer: quantized model in 42.249s
chaiml-ir-v3-1-dpo-irv0-43171-v1-mkmlizer: Processed model ChaiML/ir-v3-1-dpo_irv0-lr5e6b01 in 135.052s
chaiml-ir-v3-1-dpo-irv0-43171-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-ir-v3-1-dpo-irv0-43171-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-ir-v3-1-dpo-irv0-43171-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-ir-v3-1-dpo-irv0-43171-v1/nvidia
chaiml-ir-v3-1-dpo-irv0-43171-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-ir-v3-1-dpo-irv0-43171-v1/nvidia/config.json
chaiml-ir-v3-1-dpo-irv0-43171-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-ir-v3-1-dpo-irv0-43171-v1/nvidia/special_tokens_map.json
chaiml-ir-v3-1-dpo-irv0-43171-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-ir-v3-1-dpo-irv0-43171-v1/nvidia/tokenizer_config.json
chaiml-ir-v3-1-dpo-irv0-43171-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-ir-v3-1-dpo-irv0-43171-v1/nvidia/tokenizer.json
chaiml-ir-v3-1-dpo-irv0-43171-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-ir-v3-1-dpo-irv0-43171-v1/nvidia/flywheel_model.0.safetensors
chaiml-ir-v3-1-dpo-irv0-43171-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-ir-v3-1-dpo-irv0-43171-v1/nvidia/flywheel_model.1.safetensors
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Job chaiml-ir-v3-1-dpo-irv0-43171-v1-mkmlizer completed after 204.18s with status: succeeded
Stopping job with name chaiml-ir-v3-1-dpo-irv0-43171-v1-mkmlizer
Pipeline stage MKMLizer completed in 204.71s
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Creating inference service chaiml-ir-v3-1-dpo-irv0-43171-v1
Waiting for inference service chaiml-ir-v3-1-dpo-irv0-43171-v1 to be ready
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', '')
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', '')
Inference service chaiml-ir-v3-1-dpo-irv0-43171-v1 ready after 100.54840540885925s
Pipeline stage MKMLDeployer completed in 101.13s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.4765217304229736s
Received healthy response to inference request in 2.5471549034118652s
Received healthy response to inference request in 2.149038791656494s
Received healthy response to inference request in 2.2494561672210693s
Received healthy response to inference request in 2.262847423553467s
5 requests
0 failed requests
5th percentile: 2.169122266769409
10th percentile: 2.1892057418823243
20th percentile: 2.2293726921081545
30th percentile: 2.252134418487549
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50th percentile: 2.262847423553467
60th percentile: 2.3483171463012695
70th percentile: 2.4337868690490723
80th percentile: 2.490648365020752
90th percentile: 2.5189016342163084
95th percentile: 2.533028268814087
99th percentile: 2.5443295764923097
mean time: 2.337003803253174
Pipeline stage StressChecker completed in 13.15s
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