submission_id: chaiml-test-feed-convo-v1-1e5_v2
developer_uid: zonemercy
alignment_samples: 12630
alignment_score: -0.3818136695946898
best_of: 8
celo_rating: 1248.9
display_name: chaiml-test-feed-convo-v1-1e5_v2
formatter: {'memory_template': "Bot's name: {bot_name}\nBot never initiated sex act unless User started first in the conversation\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:'], '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': 0.6126822955237272, 'latency_mean': 1.6321062934398651, 'latency_p50': 1.6353261470794678, 'latency_p90': 1.786242699623108}, {'batch_size': 3, 'throughput': 1.088418600967662, 'latency_mean': 2.749775720834732, 'latency_p50': 2.7101876735687256, 'latency_p90': 3.0505573749542236}, {'batch_size': 5, 'throughput': 1.233575735454605, 'latency_mean': 4.037824395895004, 'latency_p50': 4.077077150344849, 'latency_p90': 4.52425479888916}, {'batch_size': 6, 'throughput': 1.259402653697253, 'latency_mean': 4.742764600515366, 'latency_p50': 4.7685956954956055, 'latency_p90': 5.395270538330078}, {'batch_size': 8, 'throughput': 1.2355878708968009, 'latency_mean': 6.4416616344451905, 'latency_p50': 6.4716269969940186, 'latency_p90': 7.259097146987915}, {'batch_size': 10, 'throughput': 1.1973201048204893, 'latency_mean': 8.2932173371315, 'latency_p50': 8.285890340805054, 'latency_p90': 9.374710083007812}]
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_v2
model_num_parameters: 12772070400.0
model_repo: ChaiML/Test-Feed-Convo-v1-1e5
model_size: 13B
num_battles: 12628
num_wins: 6405
propriety_score: 0.7429906542056075
propriety_total_count: 1070.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.21
timestamp: 2024-09-11T12:56:20+00:00
us_pacific_date: 2024-09-11
win_ratio: 0.5072062084257206
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Running pipeline stage MKMLizer
Starting job with name chaiml-test-feed-convo-v1-1e5-v2-mkmlizer
Waiting for job on chaiml-test-feed-convo-v1-1e5-v2-mkmlizer to finish
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chaiml-test-feed-convo-v1-1e5-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-test-feed-convo-v1-1e5-v2-mkmlizer: ║ _____ __ __ ║
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chaiml-test-feed-convo-v1-1e5-v2-mkmlizer: ║ Version: 0.10.1 ║
chaiml-test-feed-convo-v1-1e5-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-test-feed-convo-v1-1e5-v2-mkmlizer: ║ https://mk1.ai ║
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chaiml-test-feed-convo-v1-1e5-v2-mkmlizer: ║ Chai Research Corp. ║
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chaiml-test-feed-convo-v1-1e5-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-test-feed-convo-v1-1e5-v2-mkmlizer: Downloaded to shared memory in 36.758s
chaiml-test-feed-convo-v1-1e5-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp381_7qqe, device:0
chaiml-test-feed-convo-v1-1e5-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-test-feed-convo-v1-1e5-v2-mkmlizer: quantized model in 35.914s
chaiml-test-feed-convo-v1-1e5-v2-mkmlizer: Processed model ChaiML/Test-Feed-Convo-v1-1e5 in 72.673s
chaiml-test-feed-convo-v1-1e5-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-test-feed-convo-v1-1e5-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-test-feed-convo-v1-1e5-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-test-feed-convo-v1-1e5-v2
chaiml-test-feed-convo-v1-1e5-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-test-feed-convo-v1-1e5-v2/config.json
chaiml-test-feed-convo-v1-1e5-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-test-feed-convo-v1-1e5-v2/special_tokens_map.json
chaiml-test-feed-convo-v1-1e5-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-test-feed-convo-v1-1e5-v2/tokenizer_config.json
chaiml-test-feed-convo-v1-1e5-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-test-feed-convo-v1-1e5-v2/tokenizer.json
chaiml-test-feed-convo-v1-1e5-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-test-feed-convo-v1-1e5-v2/flywheel_model.0.safetensors
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Job chaiml-test-feed-convo-v1-1e5-v2-mkmlizer completed after 94.67s with status: succeeded
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-test-feed-con96dded52023d5cc70f75d4f8f28b5327-deplo6k4zz:/code/chaiverse_profiler_1726059864 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-test-feed-con96dded52023d5cc70f75d4f8f28b5327-deplo6k4zz --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726059864 && 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_1726059864/summary.json'
kubectl exec -it chaiml-test-feed-con96dded52023d5cc70f75d4f8f28b5327-deplo6k4zz --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726059864/summary.json'
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