submission_id: chaiml-albert-dpo-0912-v_2161_v1
developer_uid: chai_backend_admin
alignment_samples: 10975
alignment_score: -0.20477587824417373
best_of: 8
celo_rating: 1245.94
display_name: edit_variety_conflict
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:', '<|im_end|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: True
language_model: ChaiML/albert_dpo_0912_virgo_edit_variety_conflict
latencies: [{'batch_size': 1, 'throughput': 0.6198261361046796, 'latency_mean': 1.613294153213501, 'latency_p50': 1.610878825187683, 'latency_p90': 1.798569130897522}, {'batch_size': 3, 'throughput': 1.0929839501923861, 'latency_mean': 2.7388402807712553, 'latency_p50': 2.7237930297851562, 'latency_p90': 3.011830472946167}, {'batch_size': 5, 'throughput': 1.235698693419649, 'latency_mean': 4.018700484037399, 'latency_p50': 4.042511820793152, 'latency_p90': 4.511973142623901}, {'batch_size': 6, 'throughput': 1.2753544257591805, 'latency_mean': 4.688752344846725, 'latency_p50': 4.691368937492371, 'latency_p90': 5.345764374732971}, {'batch_size': 8, 'throughput': 1.2585300148800336, 'latency_mean': 6.327800551652908, 'latency_p50': 6.327863097190857, 'latency_p90': 7.308955717086792}, {'batch_size': 10, 'throughput': 1.2093472752894567, 'latency_mean': 8.210466510057449, 'latency_p50': 8.281776428222656, 'latency_p90': 9.165217518806458}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: ChaiML/albert_dpo_0912_v
model_name: edit_variety_conflict
model_num_parameters: 12772070400.0
model_repo: ChaiML/albert_dpo_0912_virgo_edit_variety_conflict
model_size: 13B
num_battles: 10974
num_wins: 5486
propriety_score: 0.7515991471215352
propriety_total_count: 938.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.22
timestamp: 2024-09-13T19:24:10+00:00
us_pacific_date: 2024-09-13
win_ratio: 0.49990887552396573
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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-albert-dpo-0912-v-2161-v1-mkmlizer
Waiting for job on chaiml-albert-dpo-0912-v-2161-v1-mkmlizer to finish
chaiml-albert-dpo-0912-v-2161-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-albert-dpo-0912-v-2161-v1-mkmlizer: ║ _____ __ __ ║
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chaiml-albert-dpo-0912-v-2161-v1-mkmlizer: ║ ║
chaiml-albert-dpo-0912-v-2161-v1-mkmlizer: ║ Version: 0.10.1 ║
chaiml-albert-dpo-0912-v-2161-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-albert-dpo-0912-v-2161-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-albert-dpo-0912-v-2161-v1-mkmlizer: ║ ║
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chaiml-albert-dpo-0912-v-2161-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-albert-dpo-0912-v-2161-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-albert-dpo-0912-v-2161-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
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chaiml-albert-dpo-0912-v-2161-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-albert-dpo-0912-v-2161-v1-mkmlizer: Downloaded to shared memory in 102.345s
chaiml-albert-dpo-0912-v-2161-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpq7rfwym1, device:0
chaiml-albert-dpo-0912-v-2161-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-albert-dpo-0912-v-2161-v1-mkmlizer: quantized model in 40.733s
chaiml-albert-dpo-0912-v-2161-v1-mkmlizer: Processed model ChaiML/albert_dpo_0912_virgo_edit_variety_conflict in 143.078s
chaiml-albert-dpo-0912-v-2161-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-albert-dpo-0912-v-2161-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-albert-dpo-0912-v-2161-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-albert-dpo-0912-v-2161-v1
chaiml-albert-dpo-0912-v-2161-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-albert-dpo-0912-v-2161-v1/config.json
chaiml-albert-dpo-0912-v-2161-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-albert-dpo-0912-v-2161-v1/special_tokens_map.json
chaiml-albert-dpo-0912-v-2161-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-albert-dpo-0912-v-2161-v1/tokenizer_config.json
chaiml-albert-dpo-0912-v-2161-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-albert-dpo-0912-v-2161-v1/tokenizer.json
chaiml-albert-dpo-0912-v-2161-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-albert-dpo-0912-v-2161-v1/flywheel_model.0.safetensors
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Job chaiml-albert-dpo-0912-v-2161-v1-mkmlizer completed after 168.19s with status: succeeded
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Creating inference service chaiml-albert-dpo-0912-v-2161-v1
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Inference service chaiml-albert-dpo-0912-v-2161-v1 ready after 190.9113748073578s
Pipeline stage MKMLDeployer completed in 191.26s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.7531869411468506s
Received healthy response to inference request in 1.641932487487793s
Received healthy response to inference request in 1.4160542488098145s
Received healthy response to inference request in 1.3234143257141113s
Received healthy response to inference request in 1.102813959121704s
5 requests
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5th percentile: 1.1469340324401855
10th percentile: 1.191054105758667
20th percentile: 1.2792942523956299
30th percentile: 1.341942310333252
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mean time: 1.4474803924560546
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Inference service chaiml-albert-dpo-0912-v-2161-v1-profiler ready after 180.4776635169983s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-albert-dpo-0920acbc437883e9ec91e4e5fd8f241172-deploklw59:/code/chaiverse_profiler_1726256047 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-albert-dpo-0920acbc437883e9ec91e4e5fd8f241172-deploklw59 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726256047 && 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_1726256047/summary.json'
kubectl exec -it chaiml-albert-dpo-0920acbc437883e9ec91e4e5fd8f241172-deploklw59 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726256047/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1153.78s
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Checking if service chaiml-albert-dpo-0912-v-2161-v1-profiler is running
Tearing down inference service chaiml-albert-dpo-0912-v-2161-v1-profiler
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Pipeline stage MKMLProfilerDeleter completed in 2.29s
Shutdown handler de-registered
chaiml-albert-dpo-0912-v_2161_v1 status is now inactive due to auto deactivation removed underperforming models