developer_uid: zonemercy
submission_id: mistralai-mistral-nem_93303_v253
model_name: tempv1-0
model_group: mistralai/Mistral-Nemo-I
status: torndown
timestamp: 2025-01-06T08:17:27+00:00
num_battles: 12402
num_wins: 5461
celo_rating: 1229.43
family_friendly_score: 0.5922000000000001
family_friendly_standard_error: 0.006949808054903387
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': 0.6377694699837559, 'latency_mean': 1.5678673934936525, 'latency_p50': 1.5727235078811646, 'latency_p90': 1.7321919679641724}, {'batch_size': 3, 'throughput': 1.272285897022613, 'latency_mean': 2.3541063272953036, 'latency_p50': 2.342376947402954, 'latency_p90': 2.593348479270935}, {'batch_size': 5, 'throughput': 1.5869274802679927, 'latency_mean': 3.1406115555763243, 'latency_p50': 3.1437764167785645, 'latency_p90': 3.548598074913025}, {'batch_size': 6, 'throughput': 1.7007012956322456, 'latency_mean': 3.5087422454357147, 'latency_p50': 3.5356768369674683, 'latency_p90': 4.00317804813385}, {'batch_size': 8, 'throughput': 1.868764405992015, 'latency_mean': 4.265691137313842, 'latency_p50': 4.232757806777954, 'latency_p90': 4.930141735076904}, {'batch_size': 10, 'throughput': 1.940186471433972, 'latency_mean': 5.123331376314163, 'latency_p50': 5.158703327178955, 'latency_p90': 5.773363161087036}]
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: 1.76
us_pacific_date: 2025-01-06
win_ratio: 0.44033220448314786
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['</s>', 'Bot:', 'User:', '<|im_end|>', 'You:', '<|eot_id|>', '\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-v253-mkmlizer
Waiting for job on mistralai-mistral-nem-93303-v253-mkmlizer to finish
Failed to get response for submission rirv938-viral-40k-1248-_40308_v2: HTTPConnectionPool(host='rirv938-viral-40k-1248-40308-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
mistralai-mistral-nem-93303-v253-mkmlizer: Downloaded to shared memory in 64.194s
mistralai-mistral-nem-93303-v253-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpnzvtqhmk, device:0
mistralai-mistral-nem-93303-v253-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nem-93303-v253-mkmlizer: quantized model in 38.364s
mistralai-mistral-nem-93303-v253-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 102.558s
mistralai-mistral-nem-93303-v253-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nem-93303-v253-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nem-93303-v253-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v253
mistralai-mistral-nem-93303-v253-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v253/config.json
mistralai-mistral-nem-93303-v253-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v253/special_tokens_map.json
mistralai-mistral-nem-93303-v253-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v253/tokenizer_config.json
mistralai-mistral-nem-93303-v253-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v253/tokenizer.json
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Job mistralai-mistral-nem-93303-v253-mkmlizer completed after 134.39s with status: succeeded
Stopping job with name mistralai-mistral-nem-93303-v253-mkmlizer
Pipeline stage MKMLizer completed in 134.91s
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Creating inference service mistralai-mistral-nem-93303-v253
Waiting for inference service mistralai-mistral-nem-93303-v253 to be ready
Failed to get response for submission rirv938-viral-40k-1248-_40308_v2: HTTPConnectionPool(host='rirv938-viral-40k-1248-40308-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service mistralai-mistral-nem-93303-v253 ready after 351.8943552970886s
Pipeline stage MKMLDeployer completed in 352.41s
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Running pipeline stage StressChecker
Received healthy response to inference request in 6.76008677482605s
Received healthy response to inference request in 0.9017527103424072s
Received healthy response to inference request in 2.1977760791778564s
Received healthy response to inference request in 6.703250885009766s
Received healthy response to inference request in 1.0109174251556396s
5 requests
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5th percentile: 0.9235856533050537
10th percentile: 0.9454185962677002
20th percentile: 0.9890844821929932
30th percentile: 1.248289155960083
40th percentile: 1.7230326175689699
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60th percentile: 3.9999660015106198
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mean time: 3.514756774902344
%s, retrying in %s seconds...
Received healthy response to inference request in 0.6799139976501465s
Received healthy response to inference request in 5.706547260284424s
Received healthy response to inference request in 1.1417031288146973s
Received healthy response to inference request in 1.7930727005004883s
Received healthy response to inference request in 1.1071031093597412s
5 requests
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5th percentile: 0.7653518199920655
10th percentile: 0.8507896423339844
20th percentile: 1.0216652870178222
30th percentile: 1.1140231132507323
40th percentile: 1.1278631210327148
50th percentile: 1.1417031288146973
60th percentile: 1.4022509574890136
70th percentile: 1.66279878616333
80th percentile: 2.575767612457276
90th percentile: 4.14115743637085
95th percentile: 4.923852348327636
99th percentile: 5.550008277893066
mean time: 2.0856680393218996
Pipeline stage StressChecker completed in 31.02s
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mistralai-mistral-nem_93303_v253 status is now deployed due to DeploymentManager action
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2581.27s
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mistralai-mistral-nem_93303_v253 status is now torndown due to DeploymentManager action
mistralai-mistral-nem_93303_v253 status is now torndown due to DeploymentManager action
mistralai-mistral-nem_93303_v253 status is now torndown due to DeploymentManager action