submission_id: chaiml-test-feed-convo-v1-1e5_v1
developer_uid: zonemercy
alignment_samples: 12565
alignment_score: -0.3350433681070158
best_of: 8
celo_rating: 1245.95
display_name: chaiml-test-feed-convo-v1-1e5_v1
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}
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:'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: True
language_model: ChaiML/Test-Feed-Convo-v1-1e5
latencies: [{'batch_size': 1, 'throughput': 0.6121079849630124, 'latency_mean': 1.6335967075824738, 'latency_p50': 1.6337180137634277, 'latency_p90': 1.8001588582992554}, {'batch_size': 3, 'throughput': 1.081423702912331, 'latency_mean': 2.7648790287971496, 'latency_p50': 2.740444540977478, 'latency_p90': 3.0575873613357545}, {'batch_size': 5, 'throughput': 1.2153453642596412, 'latency_mean': 4.0974514245986935, 'latency_p50': 4.098013520240784, 'latency_p90': 4.6379735469818115}, {'batch_size': 6, 'throughput': 1.2445543990839734, 'latency_mean': 4.794592007398605, 'latency_p50': 4.820624947547913, 'latency_p90': 5.372899222373962}, {'batch_size': 8, 'throughput': 1.2270608796651012, 'latency_mean': 6.483716238737106, 'latency_p50': 6.475721120834351, 'latency_p90': 7.227730727195739}, {'batch_size': 10, 'throughput': 1.1925649081009315, 'latency_mean': 8.337520914077759, 'latency_p50': 8.382830500602722, 'latency_p90': 9.43380048274994}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: ChaiML/Test-Feed-Convo-v
model_name: chaiml-test-feed-convo-v1-1e5_v1
model_num_parameters: 12772070400.0
model_repo: ChaiML/Test-Feed-Convo-v1-1e5
model_size: 13B
num_battles: 12565
num_wins: 6311
propriety_score: 0.7673545966228893
propriety_total_count: 1066.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.19
timestamp: 2024-09-11T12:51:53+00:00
us_pacific_date: 2024-09-11
win_ratio: 0.5022682053322722
Download Preference Data
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-test-feed-convo-v1-1e5-v1-mkmlizer
Waiting for job on chaiml-test-feed-convo-v1-1e5-v1-mkmlizer to finish
chaiml-test-feed-convo-v1-1e5-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-test-feed-convo-v1-1e5-v1-mkmlizer: ║ _____ __ __ ║
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chaiml-test-feed-convo-v1-1e5-v1-mkmlizer: ║ /___/ ║
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chaiml-test-feed-convo-v1-1e5-v1-mkmlizer: ║ Version: 0.10.1 ║
chaiml-test-feed-convo-v1-1e5-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-test-feed-convo-v1-1e5-v1-mkmlizer: ║ https://mk1.ai ║
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Failed to get response for submission blend_sanen_2024-09-09: ('http://chaiml-llama-8b-pairwis-8189-v19-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:51170->127.0.0.1:8080: read: connection reset by peer\n')
chaiml-test-feed-convo-v1-1e5-v1-mkmlizer: Downloaded to shared memory in 47.169s
chaiml-test-feed-convo-v1-1e5-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp1izkk1by, device:0
chaiml-test-feed-convo-v1-1e5-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-test-feed-convo-v1-1e5-v1-mkmlizer: quantized model in 35.386s
chaiml-test-feed-convo-v1-1e5-v1-mkmlizer: Processed model ChaiML/Test-Feed-Convo-v1-1e5 in 82.555s
chaiml-test-feed-convo-v1-1e5-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-test-feed-convo-v1-1e5-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-test-feed-convo-v1-1e5-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-test-feed-convo-v1-1e5-v1
chaiml-test-feed-convo-v1-1e5-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-test-feed-convo-v1-1e5-v1/config.json
chaiml-test-feed-convo-v1-1e5-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-test-feed-convo-v1-1e5-v1/special_tokens_map.json
chaiml-test-feed-convo-v1-1e5-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-test-feed-convo-v1-1e5-v1/tokenizer_config.json
chaiml-test-feed-convo-v1-1e5-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-test-feed-convo-v1-1e5-v1/tokenizer.json
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chaiml-test-feed-convo-v1-1e5-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-test-feed-convo-v1-1e5-v1/flywheel_model.0.safetensors
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Job chaiml-test-feed-convo-v1-1e5-v1-mkmlizer completed after 124.95s with status: succeeded
Stopping job with name chaiml-test-feed-convo-v1-1e5-v1-mkmlizer
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Inference service chaiml-test-feed-convo-v1-1e5-v1 ready after 160.8984067440033s
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Received healthy response to inference request in 1.7241003513336182s
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5th percentile: 1.6815593719482422
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20th percentile: 1.6852774143218994
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mean time: 1.9451712131500245
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Inference service chaiml-test-feed-convo-v1-1e5-v1-profiler ready after 160.37293791770935s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-test-feed-con381a88078c0b82fffd111871d7ead076-deplozz46j:/code/chaiverse_profiler_1726059618 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-test-feed-con381a88078c0b82fffd111871d7ead076-deplozz46j --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726059618 && python profiles.py profile --best_of_n 8 --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_1726059618/summary.json'
kubectl exec -it chaiml-test-feed-con381a88078c0b82fffd111871d7ead076-deplozz46j --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726059618/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1175.85s
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chaiml-test-feed-convo-v1-1e5_v1 status is now inactive due to auto deactivation removed underperforming models