submission_id: chaiml-albert-dpo-0912-v_9673_v1
developer_uid: chai_backend_admin
best_of: 8
celo_rating: 1252.23
display_name: ai-disagree-with-user
family_friendly_score: 0.0
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_ai_disagree_with_user
latencies: [{'batch_size': 1, 'throughput': 0.6079225562218308, 'latency_mean': 1.6448674631118774, 'latency_p50': 1.657462477684021, 'latency_p90': 1.8023300647735596}, {'batch_size': 3, 'throughput': 1.0787628245948764, 'latency_mean': 2.777008732557297, 'latency_p50': 2.7734360694885254, 'latency_p90': 3.0463658094406125}, {'batch_size': 5, 'throughput': 1.2352297575002273, 'latency_mean': 4.044561815261841, 'latency_p50': 4.008437752723694, 'latency_p90': 4.608502650260926}, {'batch_size': 6, 'throughput': 1.2582546068103975, 'latency_mean': 4.744158926010132, 'latency_p50': 4.813750624656677, 'latency_p90': 5.272963976860046}, {'batch_size': 8, 'throughput': 1.2321653142125635, 'latency_mean': 6.450395438671112, 'latency_p50': 6.4829347133636475, 'latency_p90': 7.3358025550842285}, {'batch_size': 10, 'throughput': 1.1960127409011645, 'latency_mean': 8.311051261425018, 'latency_p50': 8.330715417861938, 'latency_p90': 9.511400485038758}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: ChaiML/albert_dpo_0912_v
model_name: ai-disagree-with-user
model_num_parameters: 12772070400.0
model_repo: ChaiML/albert_dpo_0912_virgo_edit_variety_ai_disagree_with_user
model_size: 13B
num_battles: 11272
num_wins: 5735
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.2
timestamp: 2024-09-13T20:02:06+00:00
us_pacific_date: 2024-09-13
win_ratio: 0.5087828246983677
Resubmit model
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Running pipeline stage MKMLizer
Starting job with name chaiml-albert-dpo-0912-v-9673-v1-mkmlizer
Waiting for job on chaiml-albert-dpo-0912-v-9673-v1-mkmlizer to finish
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chaiml-albert-dpo-0912-v-9673-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-albert-dpo-0912-v-9673-v1-mkmlizer: ║ _____ __ __ ║
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chaiml-albert-dpo-0912-v-9673-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
chaiml-albert-dpo-0912-v-9673-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
chaiml-albert-dpo-0912-v-9673-v1-mkmlizer: ║ /___/ ║
chaiml-albert-dpo-0912-v-9673-v1-mkmlizer: ║ ║
chaiml-albert-dpo-0912-v-9673-v1-mkmlizer: ║ Version: 0.10.1 ║
chaiml-albert-dpo-0912-v-9673-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-albert-dpo-0912-v-9673-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-albert-dpo-0912-v-9673-v1-mkmlizer: ║ ║
chaiml-albert-dpo-0912-v-9673-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-albert-dpo-0912-v-9673-v1-mkmlizer: ║ belonging to: ║
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chaiml-albert-dpo-0912-v-9673-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-albert-dpo-0912-v-9673-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-albert-dpo-0912-v-9673-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
chaiml-albert-dpo-0912-v-9673-v1-mkmlizer: ║ ║
chaiml-albert-dpo-0912-v-9673-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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chaiml-albert-dpo-0912-v-9673-v1-mkmlizer: Downloaded to shared memory in 91.400s
chaiml-albert-dpo-0912-v-9673-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp6lg1zw2b, device:0
chaiml-albert-dpo-0912-v-9673-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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chaiml-albert-dpo-0912-v-9673-v1-mkmlizer: quantized model in 40.375s
chaiml-albert-dpo-0912-v-9673-v1-mkmlizer: Processed model ChaiML/albert_dpo_0912_virgo_edit_variety_ai_disagree_with_user in 131.775s
chaiml-albert-dpo-0912-v-9673-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-albert-dpo-0912-v-9673-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-albert-dpo-0912-v-9673-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-albert-dpo-0912-v-9673-v1
chaiml-albert-dpo-0912-v-9673-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-albert-dpo-0912-v-9673-v1/config.json
chaiml-albert-dpo-0912-v-9673-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-albert-dpo-0912-v-9673-v1/special_tokens_map.json
chaiml-albert-dpo-0912-v-9673-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-albert-dpo-0912-v-9673-v1/tokenizer_config.json
chaiml-albert-dpo-0912-v-9673-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-albert-dpo-0912-v-9673-v1/tokenizer.json
chaiml-albert-dpo-0912-v-9673-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-albert-dpo-0912-v-9673-v1/flywheel_model.0.safetensors
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Job chaiml-albert-dpo-0912-v-9673-v1-mkmlizer completed after 156.71s with status: succeeded
Stopping job with name chaiml-albert-dpo-0912-v-9673-v1-mkmlizer
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Creating inference service chaiml-albert-dpo-0912-v-9673-v1
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Inference service chaiml-albert-dpo-0912-v-9673-v1 ready after 191.3658103942871s
Pipeline stage MKMLDeployer completed in 191.73s
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Failed to get response for submission chaiml-elo-alignment-run-3_v41: ('http://chaiml-elo-alignment-run-3-v41-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:53738->127.0.0.1:8080: read: connection reset by peer\n')
Received healthy response to inference request in 3.0198090076446533s
Received healthy response to inference request in 1.3328757286071777s
Received healthy response to inference request in 1.6334125995635986s
Received healthy response to inference request in 1.853745460510254s
Received healthy response to inference request in 1.836479663848877s
5 requests
0 failed requests
5th percentile: 1.3929831027984618
10th percentile: 1.4530904769897461
20th percentile: 1.5733052253723145
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60th percentile: 1.8433859825134278
70th percentile: 1.8502923011779786
80th percentile: 2.086958169937134
90th percentile: 2.5533835887908936
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mean time: 1.935264492034912
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Inference service chaiml-albert-dpo-0912-v-9673-v1-profiler ready after 190.4316487312317s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-albert-dpo-096f5bd9e760888272b4e632aa5e4e2b94-deplo7kw4g:/code/chaiverse_profiler_1726258331 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-albert-dpo-096f5bd9e760888272b4e632aa5e4e2b94-deplo7kw4g --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726258331 && 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_1726258331/summary.json'
kubectl exec -it chaiml-albert-dpo-096f5bd9e760888272b4e632aa5e4e2b94-deplo7kw4g --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726258331/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1169.74s
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50th percentile: 3.2941057682037354
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70th percentile: 3.7163382053375242
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