submission_id: zonemercy-vingt-deux-v0-1e5_v34
developer_uid: chai_backend_admin
best_of: 1
celo_rating: 1200.86
display_name: temp-2
family_friendly_score: 0.0
formatter: {'memory_template': 'Bot Name: {bot_name}\n####\n', 'prompt_template': '', 'bot_template': 'Bot: {message}\n', 'user_template': 'User: {message}\n', 'response_template': 'Bot:', 'truncate_by_message': False}
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': ['\n', '</s>', '####', 'Bot:', 'User:', 'You:', '<|im_end|>', '<|eot_id|>'], 'max_input_tokens': 1024, 'best_of': 1, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A6000': 1}
ineligible_reason: num_battles<5000
is_internal_developer: True
language_model: zonemercy/Vingt-Deux-v0-1e5
latencies: [{'batch_size': 1, 'throughput': 0.3972157608140743, 'latency_mean': 2.5174512124061583, 'latency_p50': 2.5303343534469604, 'latency_p90': 2.7824416875839235}, {'batch_size': 3, 'throughput': 0.8629759714144477, 'latency_mean': 3.455860183238983, 'latency_p50': 3.4814186096191406, 'latency_p90': 3.8111302614212037}, {'batch_size': 5, 'throughput': 1.1727628649772863, 'latency_mean': 4.233585003614426, 'latency_p50': 4.236809611320496, 'latency_p90': 4.813975834846497}, {'batch_size': 6, 'throughput': 1.2893930184081221, 'latency_mean': 4.626329085826874, 'latency_p50': 4.6392035484313965, 'latency_p90': 5.144730591773987}, {'batch_size': 8, 'throughput': 1.4697927221385036, 'latency_mean': 5.395985177755356, 'latency_p50': 5.353442668914795, 'latency_p90': 6.093606185913086}, {'batch_size': 10, 'throughput': 1.5962839680326086, 'latency_mean': 6.212711547613144, 'latency_p50': 6.1900399923324585, 'latency_p90': 7.143588089942932}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: zonemercy/Vingt-Deux-v0-
model_name: temp-2
model_num_parameters: 22247282688.0
model_repo: zonemercy/Vingt-Deux-v0-1e5
model_size: 22B
num_battles: 3333
num_wins: 1475
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 0.98
timestamp: 2024-09-24T10:01:27+00:00
us_pacific_date: 2024-09-24
win_ratio: 0.44254425442544254
Download Preference Data
Resubmit model
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
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Running pipeline stage MKMLizer
Starting job with name zonemercy-vingt-deux-v0-1e5-v34-mkmlizer
Waiting for job on zonemercy-vingt-deux-v0-1e5-v34-mkmlizer to finish
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zonemercy-vingt-deux-v0-1e5-v34-mkmlizer: Downloaded to shared memory in 57.530s
zonemercy-vingt-deux-v0-1e5-v34-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpk09d7_nd, device:0
zonemercy-vingt-deux-v0-1e5-v34-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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zonemercy-vingt-deux-v0-1e5-v34-mkmlizer: creating bucket guanaco-mkml-models
zonemercy-vingt-deux-v0-1e5-v34-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zonemercy-vingt-deux-v0-1e5-v34-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zonemercy-vingt-deux-v0-1e5-v34
zonemercy-vingt-deux-v0-1e5-v34-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zonemercy-vingt-deux-v0-1e5-v34/special_tokens_map.json
zonemercy-vingt-deux-v0-1e5-v34-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zonemercy-vingt-deux-v0-1e5-v34/config.json
zonemercy-vingt-deux-v0-1e5-v34-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zonemercy-vingt-deux-v0-1e5-v34/tokenizer_config.json
zonemercy-vingt-deux-v0-1e5-v34-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zonemercy-vingt-deux-v0-1e5-v34/tokenizer.json
zonemercy-vingt-deux-v0-1e5-v34-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zonemercy-vingt-deux-v0-1e5-v34/flywheel_model.0.safetensors
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Inference service zonemercy-vingt-deux-v0-1e5-v34 ready after 193.1626045703888s
Pipeline stage MKMLDeployer completed in 194.70s
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Received healthy response to inference request in 3.6601052284240723s
Received healthy response to inference request in 3.1127257347106934s
Received healthy response to inference request in 2.299546480178833s
Received healthy response to inference request in 2.475182294845581s
Received healthy response to inference request in 3.694777011871338s
5 requests
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mean time: 3.0484673500061037
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/zonemercy-vingt-deuxcbb5246aeb6ff5534e967e9d7be3e54a-deplorlpsq:/code/chaiverse_profiler_1727172728 --namespace tenant-chaiml-guanaco
kubectl exec -it zonemercy-vingt-deuxcbb5246aeb6ff5534e967e9d7be3e54a-deplorlpsq --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1727172728 && python profiles.py profile --best_of_n 1 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 1024 --output_tokens 64 --summary /code/chaiverse_profiler_1727172728/summary.json'
kubectl exec -it zonemercy-vingt-deuxcbb5246aeb6ff5534e967e9d7be3e54a-deplorlpsq --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1727172728/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1328.19s
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zonemercy-vingt-deux-v0-1e5_v34 status is now inactive due to auto deactivation removed underperforming models
Deleting key zonemercy-vingt-deux-v0-1e5-v37/tokenizer.json from bucket guanaco-mkml-models
zonemercy-vingt-deux-v0-1e5_v34 status is now torndown due to DeploymentManager action