developer_uid: NischayDnk
submission_id: chaiml-exp77-dpo-megasf_75095_v2
model_name: chaiml-exp77-dpo-megasf_75095_v2
model_group: ChaiML/exp77-dpo-megasft
status: torndown
timestamp: 2025-03-13T17:34:45+00:00
num_battles: 10796
num_wins: 5691
celo_rating: 1301.62
family_friendly_score: 0.508
family_friendly_standard_error: 0.007070162657251953
submission_type: basic
model_repo: ChaiML/exp77-dpo-megasfte2-24B-ssdelfilteredv10v11
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': 0.3686590924547775, 'latency_mean': 2.7124702990055085, 'latency_p50': 2.726612091064453, 'latency_p90': 3.0029128789901733}, {'batch_size': 2, 'throughput': 0.5708323703361778, 'latency_mean': 3.495318285226822, 'latency_p50': 3.508811593055725, 'latency_p90': 3.8491851329803466}, {'batch_size': 3, 'throughput': 0.7256249178276151, 'latency_mean': 4.1112623476982115, 'latency_p50': 4.149750590324402, 'latency_p90': 4.533903098106384}, {'batch_size': 4, 'throughput': 0.8398939577569066, 'latency_mean': 4.740531607866287, 'latency_p50': 4.697099685668945, 'latency_p90': 5.328794932365417}, {'batch_size': 5, 'throughput': 0.9354117951135487, 'latency_mean': 5.326078096628189, 'latency_p50': 5.3001333475112915, 'latency_p90': 5.944767856597901}]
gpu_counts: {'NVIDIA RTX A6000': 1}
display_name: chaiml-exp77-dpo-megasf_75095_v2
is_internal_developer: False
language_model: ChaiML/exp77-dpo-megasfte2-24B-ssdelfilteredv10v11
model_size: 24B
ranking_group: single
throughput_3p7s: 0.63
us_pacific_date: 2025-03-13
win_ratio: 0.527139681363468
generation_params: {'temperature': 0.5, 'top_p': 0.95, 'min_p': 0.025, 'top_k': 70, 'presence_penalty': 0.45, 'frequency_penalty': 0.45, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '[INST]<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{bot_name}:', 'truncate_by_message': False}
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-exp77-dpo-megasf-75095-v2-mkmlizer
Waiting for job on chaiml-exp77-dpo-megasf-75095-v2-mkmlizer to finish
chaiml-exp77-dpo-megasf-75095-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-exp77-dpo-megasf-75095-v2-mkmlizer: ║     _____            __           __                                ║
chaiml-exp77-dpo-megasf-75095-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
chaiml-exp77-dpo-megasf-75095-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
chaiml-exp77-dpo-megasf-75095-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
chaiml-exp77-dpo-megasf-75095-v2-mkmlizer: ║       /___/                                                         ║
chaiml-exp77-dpo-megasf-75095-v2-mkmlizer: ║                                                                     ║
chaiml-exp77-dpo-megasf-75095-v2-mkmlizer: ║  Version: 0.12.8                                                    ║
chaiml-exp77-dpo-megasf-75095-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
chaiml-exp77-dpo-megasf-75095-v2-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-exp77-dpo-megasf-75095-v2-mkmlizer: ║                                                                     ║
chaiml-exp77-dpo-megasf-75095-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-exp77-dpo-megasf-75095-v2-mkmlizer: ║  belonging to:                                                      ║
chaiml-exp77-dpo-megasf-75095-v2-mkmlizer: ║                                                                     ║
chaiml-exp77-dpo-megasf-75095-v2-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-exp77-dpo-megasf-75095-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-exp77-dpo-megasf-75095-v2-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
chaiml-exp77-dpo-megasf-75095-v2-mkmlizer: ║                                                                     ║
chaiml-exp77-dpo-megasf-75095-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-exp77-dpo-megasf-75095-v2-mkmlizer: Downloaded to shared memory in 63.086s
chaiml-exp77-dpo-megasf-75095-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpr1im6rnt, device:0
chaiml-exp77-dpo-megasf-75095-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-exp77-dpo-megasf-75095-v2-mkmlizer: quantized model in 54.523s
chaiml-exp77-dpo-megasf-75095-v2-mkmlizer: Processed model ChaiML/exp77-dpo-megasfte2-24B-ssdelfilteredv10v11 in 117.610s
chaiml-exp77-dpo-megasf-75095-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-exp77-dpo-megasf-75095-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-exp77-dpo-megasf-75095-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-exp77-dpo-megasf-75095-v2
chaiml-exp77-dpo-megasf-75095-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-exp77-dpo-megasf-75095-v2/config.json
chaiml-exp77-dpo-megasf-75095-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-exp77-dpo-megasf-75095-v2/special_tokens_map.json
chaiml-exp77-dpo-megasf-75095-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-exp77-dpo-megasf-75095-v2/tokenizer_config.json
chaiml-exp77-dpo-megasf-75095-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-exp77-dpo-megasf-75095-v2/tokenizer.json
chaiml-exp77-dpo-megasf-75095-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-exp77-dpo-megasf-75095-v2/flywheel_model.1.safetensors
chaiml-exp77-dpo-megasf-75095-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-exp77-dpo-megasf-75095-v2/flywheel_model.0.safetensors
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Job chaiml-exp77-dpo-megasf-75095-v2-mkmlizer completed after 144.9s with status: succeeded
Stopping job with name chaiml-exp77-dpo-megasf-75095-v2-mkmlizer
Pipeline stage MKMLizer completed in 145.56s
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Running pipeline stage MKMLTemplater
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-exp77-dpo-megasf-75095-v2
Waiting for inference service chaiml-exp77-dpo-megasf-75095-v2 to be ready
Inference service chaiml-exp77-dpo-megasf-75095-v2 ready after 100.38720083236694s
Pipeline stage MKMLDeployer completed in 101.04s
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Running pipeline stage StressChecker
Received healthy response to inference request in 3.4923441410064697s
Received healthy response to inference request in 2.612194776535034s
Received healthy response to inference request in 2.712063789367676s
Received healthy response to inference request in 2.6014883518218994s
Received healthy response to inference request in 2.4869141578674316s
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5th percentile: 2.5098289966583254
10th percentile: 2.5327438354492187
20th percentile: 2.5785735130310057
30th percentile: 2.603629636764526
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50th percentile: 2.612194776535034
60th percentile: 2.652142381668091
70th percentile: 2.6920899868011476
80th percentile: 2.868119859695435
90th percentile: 3.1802320003509523
95th percentile: 3.3362880706787106
99th percentile: 3.461132926940918
mean time: 2.7810010433197023
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