developer_uid: zonemercy
submission_id: mistralai-mistral-nem_93303_v234
model_name: tempv1-0
model_group: mistralai/Mistral-Nemo-I
status: torndown
timestamp: 2024-12-28T19:42:00+00:00
num_battles: 14045
num_wins: 6423
celo_rating: 1231.66
family_friendly_score: 0.5966
family_friendly_standard_error: 0.006937844622071036
submission_type: basic
model_repo: mistralai/Mistral-Nemo-Instruct-2407
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 4
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.6373639666568107, 'latency_mean': 1.5688669562339783, 'latency_p50': 1.5659499168395996, 'latency_p90': 1.727722454071045}, {'batch_size': 3, 'throughput': 1.261479839436444, 'latency_mean': 2.3710923850536347, 'latency_p50': 2.3714927434921265, 'latency_p90': 2.5778697729110718}, {'batch_size': 5, 'throughput': 1.6045153988057035, 'latency_mean': 3.1005386209487913, 'latency_p50': 3.090155601501465, 'latency_p90': 3.4545338869094846}, {'batch_size': 6, 'throughput': 1.6934642947163994, 'latency_mean': 3.518546632528305, 'latency_p50': 3.542688727378845, 'latency_p90': 3.929820609092712}, {'batch_size': 8, 'throughput': 1.8599135166093814, 'latency_mean': 4.274103848934174, 'latency_p50': 4.250928163528442, 'latency_p90': 4.837376952171326}, {'batch_size': 10, 'throughput': 1.9504190719675143, 'latency_mean': 5.074050669670105, 'latency_p50': 5.058698654174805, 'latency_p90': 5.669353461265564}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: tempv1-0
is_internal_developer: True
language_model: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
ranking_group: single
throughput_3p7s: 1.75
us_pacific_date: 2024-12-28
win_ratio: 0.45731577073691704
generation_params: {'temperature': 1.0, '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': 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 mistralai-mistral-nem-93303-v234-mkmlizer
Waiting for job on mistralai-mistral-nem-93303-v234-mkmlizer to finish
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mistralai-mistral-nem-93303-v234-mkmlizer: Downloaded to shared memory in 55.634s
mistralai-mistral-nem-93303-v234-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp6cjv9pej, device:0
mistralai-mistral-nem-93303-v234-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
mistralai-mistral-nem-93303-v234-mkmlizer: quantized model in 36.551s
mistralai-mistral-nem-93303-v234-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 92.185s
mistralai-mistral-nem-93303-v234-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nem-93303-v234-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v234
mistralai-mistral-nem-93303-v234-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v234/config.json
mistralai-mistral-nem-93303-v234-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v234/special_tokens_map.json
mistralai-mistral-nem-93303-v234-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v234/tokenizer_config.json
mistralai-mistral-nem-93303-v234-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v234/tokenizer.json
mistralai-mistral-nem-93303-v234-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v234/flywheel_model.0.safetensors
mistralai-mistral-nem-93303-v234-mkmlizer: 
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Job mistralai-mistral-nem-93303-v234-mkmlizer completed after 123.85s with status: succeeded
Stopping job with name mistralai-mistral-nem-93303-v234-mkmlizer
Pipeline stage MKMLizer completed in 125.47s
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Creating inference service mistralai-mistral-nem-93303-v234
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Inference service mistralai-mistral-nem-93303-v234 ready after 311.282906293869s
Pipeline stage MKMLDeployer completed in 312.39s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.5971448421478271s
Received healthy response to inference request in 0.6498453617095947s
Received healthy response to inference request in 1.531029462814331s
Received healthy response to inference request in 0.8238213062286377s
Received healthy response to inference request in 1.3844354152679443s
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