developer_uid: azuruce
submission_id: chaiml-mistral-nemo-dpo-_9616_v1
model_name: chaiml-mistral-nemo-dpo-_9616_v1
model_group: ChaiML/mistral_nemo_dpo_
status: inactive
timestamp: 2024-12-12T13:38:32+00:00
num_battles: 14024
num_wins: 6723
celo_rating: 1249.39
family_friendly_score: 0.5856
family_friendly_standard_error: 0.006966672663474293
submission_type: basic
model_repo: ChaiML/mistral_nemo_dpo_baseline_albert_241210_20k_v5
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 4
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.643381567219278, 'latency_mean': 1.5542172467708588, 'latency_p50': 1.5562330484390259, 'latency_p90': 1.7072736501693726}, {'batch_size': 4, 'throughput': 1.4997425288905941, 'latency_mean': 2.6550346541404726, 'latency_p50': 2.6268268823623657, 'latency_p90': 3.0044376134872435}, {'batch_size': 5, 'throughput': 1.6270764251766558, 'latency_mean': 3.046800374984741, 'latency_p50': 3.0807766914367676, 'latency_p90': 3.397104501724243}, {'batch_size': 8, 'throughput': 1.9171961080055646, 'latency_mean': 4.14613302230835, 'latency_p50': 4.160740375518799, 'latency_p90': 4.640510177612304}, {'batch_size': 10, 'throughput': 2.0141391927467662, 'latency_mean': 4.920960915088654, 'latency_p50': 4.960384845733643, 'latency_p90': 5.592805790901184}, {'batch_size': 12, 'throughput': 2.0794940387547354, 'latency_mean': 5.717757139205933, 'latency_p50': 5.754960656166077, 'latency_p90': 6.531666231155396}, {'batch_size': 15, 'throughput': 2.1328442039698756, 'latency_mean': 6.956804677248001, 'latency_p50': 6.9387366771698, 'latency_p90': 7.933294415473938}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: chaiml-mistral-nemo-dpo-_9616_v1
is_internal_developer: True
language_model: ChaiML/mistral_nemo_dpo_baseline_albert_241210_20k_v5
model_size: 13B
ranking_group: single
throughput_3p7s: 1.83
us_pacific_date: 2024-12-12
win_ratio: 0.47939247005134056
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 100, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', '####', 'Bot:', 'User:', 'You:', '<|im_end|>', '<|eot_id|>'], 'max_input_tokens': 1024, 'best_of': 4, 'max_output_tokens': 64}
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{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-mistral-nemo-dpo-9616-v1-mkmlizer
Waiting for job on chaiml-mistral-nemo-dpo-9616-v1-mkmlizer to finish
chaiml-mistral-nemo-dpo-9616-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral-nemo-dpo-9616-v1-mkmlizer: ║ _____ __ __ ║
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chaiml-mistral-nemo-dpo-9616-v1-mkmlizer: ║ /___/ ║
chaiml-mistral-nemo-dpo-9616-v1-mkmlizer: ║ ║
chaiml-mistral-nemo-dpo-9616-v1-mkmlizer: ║ Version: 0.11.12 ║
chaiml-mistral-nemo-dpo-9616-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-mistral-nemo-dpo-9616-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-mistral-nemo-dpo-9616-v1-mkmlizer: ║ ║
chaiml-mistral-nemo-dpo-9616-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-mistral-nemo-dpo-9616-v1-mkmlizer: ║ belonging to: ║
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chaiml-mistral-nemo-dpo-9616-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-mistral-nemo-dpo-9616-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-mistral-nemo-dpo-9616-v1-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
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chaiml-mistral-nemo-dpo-9616-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral-nemo-dpo-9616-v1-mkmlizer: Downloaded to shared memory in 48.955s
chaiml-mistral-nemo-dpo-9616-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp4k0lpud5, device:0
chaiml-mistral-nemo-dpo-9616-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral-nemo-dpo-9616-v1-mkmlizer: quantized model in 36.892s
chaiml-mistral-nemo-dpo-9616-v1-mkmlizer: Processed model ChaiML/mistral_nemo_dpo_baseline_albert_241210_20k_v5 in 85.847s
chaiml-mistral-nemo-dpo-9616-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral-nemo-dpo-9616-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral-nemo-dpo-9616-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-9616-v1
Connection pool is full, discarding connection: %s. Connection pool size: %s
chaiml-mistral-nemo-dpo-9616-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-9616-v1/config.json
chaiml-mistral-nemo-dpo-9616-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-9616-v1/special_tokens_map.json
chaiml-mistral-nemo-dpo-9616-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-9616-v1/tokenizer_config.json
chaiml-mistral-nemo-dpo-9616-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-9616-v1/tokenizer.json
chaiml-mistral-nemo-dpo-9616-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral-nemo-dpo-9616-v1/flywheel_model.0.safetensors
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Job chaiml-mistral-nemo-dpo-9616-v1-mkmlizer completed after 115.75s with status: succeeded
Stopping job with name chaiml-mistral-nemo-dpo-9616-v1-mkmlizer
Pipeline stage MKMLizer completed in 116.27s
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Creating inference service chaiml-mistral-nemo-dpo-9616-v1
Waiting for inference service chaiml-mistral-nemo-dpo-9616-v1 to be ready
Inference service chaiml-mistral-nemo-dpo-9616-v1 ready after 190.95279669761658s
Pipeline stage MKMLDeployer completed in 191.52s
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Received healthy response to inference request in 1.5233561992645264s
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Received healthy response to inference request in 1.1426572799682617s
Received healthy response to inference request in 1.6093108654022217s
Received healthy response to inference request in 1.3276691436767578s
5 requests
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5th percentile: 1.179659652709961
10th percentile: 1.2166620254516602
20th percentile: 1.2906667709350585
30th percentile: 1.3668065547943116
40th percentile: 1.4450813770294189
50th percentile: 1.5233561992645264
60th percentile: 1.5577380657196045
70th percentile: 1.5921199321746826
80th percentile: 1.795567035675049
90th percentile: 2.168079376220703
95th percentile: 2.3543355464935303
99th percentile: 2.503340482711792
mean time: 1.628717041015625
Pipeline stage StressChecker completed in 9.45s
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Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2364.92s
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chaiml-mistral-nemo-dpo-_9616_v1 status is now inactive due to auto deactivation removed underperforming models