developer_uid: bogoconic1
submission_id: chaiml-gy-exp106-sftlor_20659_v1
model_name: chaiml-gy-exp106-sftlor_20659_v1
model_group: ChaiML/gy-exp106-sftlora
status: torndown
timestamp: 2025-07-10T13:26:10+00:00
num_battles: 6750
num_wins: 3509
celo_rating: 1300.4
family_friendly_score: 0.5266
family_friendly_standard_error: 0.007061054312211456
submission_type: basic
model_repo: ChaiML/gy-exp106-sftlora-retry2-ep2
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': 0.5203814367107472, 'latency_mean': 1.9215420746803284, 'latency_p50': 1.9400564432144165, 'latency_p90': 2.118583917617798}, {'batch_size': 3, 'throughput': 1.0538133350384074, 'latency_mean': 2.837370955944061, 'latency_p50': 2.8532071113586426, 'latency_p90': 3.134578084945679}, {'batch_size': 5, 'throughput': 1.335630765938598, 'latency_mean': 3.711846730709076, 'latency_p50': 3.708320379257202, 'latency_p90': 4.108347964286804}, {'batch_size': 6, 'throughput': 1.4510972979167307, 'latency_mean': 4.109064652919769, 'latency_p50': 4.0894705057144165, 'latency_p90': 4.6095259428024296}, {'batch_size': 8, 'throughput': 1.5814106458696353, 'latency_mean': 5.009572694301605, 'latency_p50': 4.967093110084534, 'latency_p90': 5.722160506248474}, {'batch_size': 10, 'throughput': 1.6610049505190947, 'latency_mean': 5.950480872392655, 'latency_p50': 5.995352387428284, 'latency_p90': 6.614183664321899}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: chaiml-gy-exp106-sftlor_20659_v1
is_internal_developer: False
language_model: ChaiML/gy-exp106-sftlora-retry2-ep2
model_size: 24B
ranking_group: single
throughput_3p7s: 1.34
us_pacific_date: 2025-07-10
win_ratio: 0.5198518518518519
generation_params: {'temperature': 0.6, 'top_p': 0.95, 'min_p': 0.025, 'top_k': 60, 'presence_penalty': 0.4, 'frequency_penalty': 0.4, 'stopping_words': ['<|im_start|>', '\n', '<|im_end|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '<|system|>Family Friendly{memory}\n', 'prompt_template': '', 'bot_template': '<|im_start|>assistant\n{message}<|im_end|>\n', 'user_template': '<|im_start|>user\nYou:{message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n', '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-gy-exp106-sftlor-20659-v1-mkmlizer
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chaiml-gy-exp106-sftlor-20659-v1-mkmlizer: ║ ║
chaiml-gy-exp106-sftlor-20659-v1-mkmlizer: ║ Version: 0.29.15 ║
chaiml-gy-exp106-sftlor-20659-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-gy-exp106-sftlor-20659-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-gy-exp106-sftlor-20659-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-gy-exp106-sftlor-20659-v1-mkmlizer: ║ ║
chaiml-gy-exp106-sftlor-20659-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-gy-exp106-sftlor-20659-v1-mkmlizer: ║ belonging to: ║
chaiml-gy-exp106-sftlor-20659-v1-mkmlizer: ║ ║
chaiml-gy-exp106-sftlor-20659-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-gy-exp106-sftlor-20659-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-gy-exp106-sftlor-20659-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-gy-exp106-sftlor-20659-v1-mkmlizer: ║ ║
chaiml-gy-exp106-sftlor-20659-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-gy-exp106-sftlor-20659-v1-mkmlizer: Downloaded to shared memory in 92.711s
chaiml-gy-exp106-sftlor-20659-v1-mkmlizer: Checking if ChaiML/gy-exp106-sftlora-retry2-ep2 already exists in ChaiML
chaiml-gy-exp106-sftlor-20659-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpok8g652v, device:0
chaiml-gy-exp106-sftlor-20659-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Connection pool is full, discarding connection: %s. Connection pool size: %s
chaiml-gy-exp106-sftlor-20659-v1-mkmlizer: quantized model in 57.562s
chaiml-gy-exp106-sftlor-20659-v1-mkmlizer: Processed model ChaiML/gy-exp106-sftlora-retry2-ep2 in 150.273s
chaiml-gy-exp106-sftlor-20659-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-gy-exp106-sftlor-20659-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-gy-exp106-sftlor-20659-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-gy-exp106-sftlor-20659-v1/nvidia
chaiml-gy-exp106-sftlor-20659-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-gy-exp106-sftlor-20659-v1/nvidia/config.json
chaiml-gy-exp106-sftlor-20659-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-gy-exp106-sftlor-20659-v1/nvidia/special_tokens_map.json
chaiml-gy-exp106-sftlor-20659-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-gy-exp106-sftlor-20659-v1/nvidia/tokenizer_config.json
chaiml-gy-exp106-sftlor-20659-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-gy-exp106-sftlor-20659-v1/nvidia/tokenizer.json
chaiml-gy-exp106-sftlor-20659-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-gy-exp106-sftlor-20659-v1/nvidia/flywheel_model.1.safetensors
chaiml-gy-exp106-sftlor-20659-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-gy-exp106-sftlor-20659-v1/nvidia/flywheel_model.0.safetensors
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Job chaiml-gy-exp106-sftlor-20659-v1-mkmlizer completed after 352.4s with status: succeeded
Stopping job with name chaiml-gy-exp106-sftlor-20659-v1-mkmlizer
Pipeline stage MKMLizer completed in 353.26s
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Creating inference service chaiml-gy-exp106-sftlor-20659-v1
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Inference service chaiml-gy-exp106-sftlor-20659-v1 ready after 291.4124391078949s
Pipeline stage MKMLDeployer completed in 291.93s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.6255135536193848s
Received healthy response to inference request in 2.1786293983459473s
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5th percentile: 1.833240032196045
10th percentile: 1.8370563983917236
20th percentile: 1.844689130783081
30th percentile: 1.9145302772521973
40th percentile: 2.0465798377990723
50th percentile: 2.1786293983459473
60th percentile: 2.1866164207458496
70th percentile: 2.194603443145752
80th percentile: 2.2839802742004394
90th percentile: 2.4547469139099123
95th percentile: 2.5401302337646485
99th percentile: 2.6084368896484373
mean time: 2.136133813858032
Pipeline stage StressChecker completed in 12.13s
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