developer_uid: azuruce
submission_id: chaiml-mistral-nemo-simp_7503_v2
model_name: chaiml-mistral-nemo-simp_7503_v2
model_group: ChaiML/mistral_nemo_simp
status: inactive
timestamp: 2024-12-15T23:15:38+00:00
num_battles: 8939
num_wins: 3566
celo_rating: 1159.68
family_friendly_score: 0.5489999999999999
family_friendly_standard_error: 0.007037030623778754
submission_type: basic
model_repo: ChaiML/mistral_nemo_simpo_baseline_albert_20241213_v2_mad-checkpoint-1872
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 4
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6409608603414902, 'latency_mean': 1.560066430568695, 'latency_p50': 1.561326026916504, 'latency_p90': 1.7214289903640747}, {'batch_size': 3, 'throughput': 1.2700202869370452, 'latency_mean': 2.3523371160030364, 'latency_p50': 2.3566536903381348, 'latency_p90': 2.5842374324798585}, {'batch_size': 5, 'throughput': 1.588033420274007, 'latency_mean': 3.1327064728736875, 'latency_p50': 3.149488687515259, 'latency_p90': 3.5249019622802735}, {'batch_size': 6, 'throughput': 1.7278119749535679, 'latency_mean': 3.460967583656311, 'latency_p50': 3.434225559234619, 'latency_p90': 3.93249135017395}, {'batch_size': 8, 'throughput': 1.8832945275858763, 'latency_mean': 4.218361850976944, 'latency_p50': 4.213778972625732, 'latency_p90': 4.7217031955719}, {'batch_size': 10, 'throughput': 1.9566758109594897, 'latency_mean': 5.068644764423371, 'latency_p50': 5.086099863052368, 'latency_p90': 5.698744940757751}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: chaiml-mistral-nemo-simp_7503_v2
is_internal_developer: True
language_model: ChaiML/mistral_nemo_simpo_baseline_albert_20241213_v2_mad-checkpoint-1872
model_size: 13B
ranking_group: single
throughput_3p7s: 1.79
us_pacific_date: 2024-12-15
win_ratio: 0.3989260543684976
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-simp-7503-v2-mkmlizer
Waiting for job on chaiml-mistral-nemo-simp-7503-v2-mkmlizer to finish
Connection pool is full, discarding connection: %s. Connection pool size: %s
chaiml-mistral-nemo-simp-7503-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral-nemo-simp-7503-v2-mkmlizer: ║ _____ __ __ ║
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chaiml-mistral-nemo-simp-7503-v2-mkmlizer: ║ /___/ ║
chaiml-mistral-nemo-simp-7503-v2-mkmlizer: ║ ║
chaiml-mistral-nemo-simp-7503-v2-mkmlizer: ║ Version: 0.11.12 ║
chaiml-mistral-nemo-simp-7503-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-mistral-nemo-simp-7503-v2-mkmlizer: ║ https://mk1.ai ║
chaiml-mistral-nemo-simp-7503-v2-mkmlizer: ║ ║
chaiml-mistral-nemo-simp-7503-v2-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-mistral-nemo-simp-7503-v2-mkmlizer: ║ belonging to: ║
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chaiml-mistral-nemo-simp-7503-v2-mkmlizer: ║ Chai Research Corp. ║
chaiml-mistral-nemo-simp-7503-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-mistral-nemo-simp-7503-v2-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
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chaiml-mistral-nemo-simp-7503-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral-nemo-simp-7503-v2-mkmlizer: Downloaded to shared memory in 36.934s
chaiml-mistral-nemo-simp-7503-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpzvfl9b6q, device:0
chaiml-mistral-nemo-simp-7503-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
chaiml-mistral-nemo-simp-7503-v2-mkmlizer: quantized model in 38.277s
chaiml-mistral-nemo-simp-7503-v2-mkmlizer: Processed model ChaiML/mistral_nemo_simpo_baseline_albert_20241213_v2_mad-checkpoint-1872 in 75.212s
chaiml-mistral-nemo-simp-7503-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral-nemo-simp-7503-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral-nemo-simp-7503-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral-nemo-simp-7503-v2
chaiml-mistral-nemo-simp-7503-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral-nemo-simp-7503-v2/config.json
chaiml-mistral-nemo-simp-7503-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral-nemo-simp-7503-v2/special_tokens_map.json
chaiml-mistral-nemo-simp-7503-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral-nemo-simp-7503-v2/tokenizer_config.json
chaiml-mistral-nemo-simp-7503-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral-nemo-simp-7503-v2/tokenizer.json
chaiml-mistral-nemo-simp-7503-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral-nemo-simp-7503-v2/flywheel_model.0.safetensors
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Job chaiml-mistral-nemo-simp-7503-v2-mkmlizer completed after 105.27s with status: succeeded
Stopping job with name chaiml-mistral-nemo-simp-7503-v2-mkmlizer
Pipeline stage MKMLizer completed in 105.75s
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Creating inference service chaiml-mistral-nemo-simp-7503-v2
Waiting for inference service chaiml-mistral-nemo-simp-7503-v2 to be ready
Inference service chaiml-mistral-nemo-simp-7503-v2 ready after 211.04970240592957s
Pipeline stage MKMLDeployer completed in 211.60s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.9803974628448486s
Received healthy response to inference request in 1.368680477142334s
Received healthy response to inference request in 1.6733729839324951s
Received healthy response to inference request in 1.7249500751495361s
Received healthy response to inference request in 1.357966423034668s
5 requests
0 failed requests
5th percentile: 1.360109233856201
10th percentile: 1.3622520446777344
20th percentile: 1.3665376663208009
30th percentile: 1.4296189785003661
40th percentile: 1.5514959812164306
50th percentile: 1.6733729839324951
60th percentile: 1.6940038204193115
70th percentile: 1.714634656906128
80th percentile: 1.7760395526885986
90th percentile: 1.8782185077667237
95th percentile: 1.9293079853057862
99th percentile: 1.9701795673370361
mean time: 1.6210734844207764
Pipeline stage StressChecker completed in 9.58s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 2.61s
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Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2479.73s
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chaiml-mistral-nemo-simp_7503_v2 status is now inactive due to auto deactivation removed underperforming models