developer_uid: ChaiHarshitSheoran
submission_id: chaiml-mn24b-v2preferwi_68093_v3
model_name: chaiml-mn24b-v2preferwi_68093_v3
model_group: ChaiML/mn24b_v2preferwin
status: torndown
timestamp: 2025-09-30T12:36:36+00:00
num_battles: 5757
num_wins: 2535
celo_rating: 1231.92
family_friendly_score: 0.0
family_friendly_standard_error: 0.0
submission_type: basic
model_repo: ChaiML/mn24b_v2preferwin2_qwen_nonl_bo1_fft7
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.5405504379663563, 'latency_mean': 1.8498650455474854, 'latency_p50': 1.8457309007644653, 'latency_p90': 2.0337745428085325}, {'batch_size': 3, 'throughput': 1.0894508589259733, 'latency_mean': 2.746870619058609, 'latency_p50': 2.753301978111267, 'latency_p90': 3.0849801778793333}, {'batch_size': 5, 'throughput': 1.3968871357534842, 'latency_mean': 3.555433678627014, 'latency_p50': 3.5546494722366333, 'latency_p90': 4.0486767292022705}, {'batch_size': 6, 'throughput': 1.4974669508291631, 'latency_mean': 3.9789150500297548, 'latency_p50': 3.957196831703186, 'latency_p90': 4.5295095205307}, {'batch_size': 8, 'throughput': 1.6344612389141637, 'latency_mean': 4.85895441532135, 'latency_p50': 4.8478885889053345, 'latency_p90': 5.596908020973205}, {'batch_size': 10, 'throughput': 1.7162867134852442, 'latency_mean': 5.794494287967682, 'latency_p50': 5.747452974319458, 'latency_p90': 6.637488436698914}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: chaiml-mn24b-v2preferwi_68093_v3
is_internal_developer: False
language_model: ChaiML/mn24b_v2preferwin2_qwen_nonl_bo1_fft7
model_size: 24B
ranking_group: single
throughput_3p7s: 1.44
us_pacific_date: 2025-09-30
win_ratio: 0.44033350703491403
generation_params: {'temperature': 0.7, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '\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-mn24b-v2preferwi-68093-v3-mkmlizer
Waiting for job on chaiml-mn24b-v2preferwi-68093-v3-mkmlizer to finish
chaiml-mn24b-v2preferwi-68093-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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chaiml-mn24b-v2preferwi-68093-v3-mkmlizer: ║ ║
chaiml-mn24b-v2preferwi-68093-v3-mkmlizer: ║ Version: 0.30.2 ║
chaiml-mn24b-v2preferwi-68093-v3-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-mn24b-v2preferwi-68093-v3-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-mn24b-v2preferwi-68093-v3-mkmlizer: ║ https://mk1.ai ║
chaiml-mn24b-v2preferwi-68093-v3-mkmlizer: ║ ║
chaiml-mn24b-v2preferwi-68093-v3-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-mn24b-v2preferwi-68093-v3-mkmlizer: ║ belonging to: ║
chaiml-mn24b-v2preferwi-68093-v3-mkmlizer: ║ ║
chaiml-mn24b-v2preferwi-68093-v3-mkmlizer: ║ Chai Research Corp. ║
chaiml-mn24b-v2preferwi-68093-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-mn24b-v2preferwi-68093-v3-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-mn24b-v2preferwi-68093-v3-mkmlizer: ║ ║
chaiml-mn24b-v2preferwi-68093-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mn24b-v2preferwi-68093-v3-mkmlizer: Downloaded to shared memory in 50.294s
chaiml-mn24b-v2preferwi-68093-v3-mkmlizer: Checking if ChaiML/mn24b_v2preferwin2_qwen_nonl_bo1_fft7 already exists in ChaiML
chaiml-mn24b-v2preferwi-68093-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpuor4znj8, device:0
chaiml-mn24b-v2preferwi-68093-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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 chaiml-high-school-life_46597_v2: HTTPConnectionPool(host='chaiml-high-school-life-46597-v2-predictor.creator-studio.kchai-coreweave-us-east-04a.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
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-mn24b-v2preferwi-68093-v3-mkmlizer: quantized model in 285.918s
chaiml-mn24b-v2preferwi-68093-v3-mkmlizer: Processed model ChaiML/mn24b_v2preferwin2_qwen_nonl_bo1_fft7 in 336.212s
chaiml-mn24b-v2preferwi-68093-v3-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mn24b-v2preferwi-68093-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mn24b-v2preferwi-68093-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mn24b-v2preferwi-68093-v3/nvidia
chaiml-mn24b-v2preferwi-68093-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mn24b-v2preferwi-68093-v3/nvidia/config.json
chaiml-mn24b-v2preferwi-68093-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mn24b-v2preferwi-68093-v3/nvidia/special_tokens_map.json
chaiml-mn24b-v2preferwi-68093-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mn24b-v2preferwi-68093-v3/nvidia/tokenizer_config.json
chaiml-mn24b-v2preferwi-68093-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mn24b-v2preferwi-68093-v3/nvidia/tokenizer.json
chaiml-mn24b-v2preferwi-68093-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-mn24b-v2preferwi-68093-v3/nvidia/flywheel_model.1.safetensors
chaiml-mn24b-v2preferwi-68093-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mn24b-v2preferwi-68093-v3/nvidia/flywheel_model.0.safetensors
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Job chaiml-mn24b-v2preferwi-68093-v3-mkmlizer completed after 490.1s with status: succeeded
Stopping job with name chaiml-mn24b-v2preferwi-68093-v3-mkmlizer
Pipeline stage MKMLizer completed in 492.29s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-mn24b-v2preferwi-68093-v3
Waiting for inference service chaiml-mn24b-v2preferwi-68093-v3 to be ready
Failed to get response for submission chaiml-jace-lightwood-s_43552_v2: HTTPConnectionPool(host='chaiml-jace-lightwood-s-43552-v2-predictor.creator-studio.kchai-coreweave-us-east-04a.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service chaiml-mn24b-v2preferwi-68093-v3 ready after 40.1828088760376s
Pipeline stage MKMLDeployer completed in 40.72s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.0459542274475098s
Received healthy response to inference request in 1.7368121147155762s
Received healthy response to inference request in 1.6687209606170654s
Received healthy response to inference request in 2.318742513656616s
Received healthy response to inference request in 1.6484057903289795s
5 requests
0 failed requests
5th percentile: 1.6524688243865966
10th percentile: 1.656531858444214
20th percentile: 1.6646579265594483
30th percentile: 1.6823391914367676
40th percentile: 1.7095756530761719
50th percentile: 1.7368121147155762
60th percentile: 1.8604689598083497
70th percentile: 1.984125804901123
80th percentile: 2.100511884689331
90th percentile: 2.2096271991729735
95th percentile: 2.264184856414795
99th percentile: 2.307830982208252
mean time: 1.8837271213531495
Pipeline stage StressChecker completed in 11.40s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.96s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 0.69s
Shutdown handler de-registered
chaiml-mn24b-v2preferwi_68093_v3 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
chaiml-mn24b-v2preferwi_68093_v3 status is now inactive due to auto deactivation removed underperforming models
chaiml-mn24b-v2preferwi_68093_v3 status is now torndown due to DeploymentManager action