submission_id: jic062-dpo-v1-4-nemo-c500_v1
developer_uid: chace9580
alignment_samples: 14437
alignment_score: -0.993831830782994
best_of: 8
celo_rating: 1251.22
display_name: jic062-dpo-v1-4-nemo-c500_v1
formatter: {'memory_template': '[INST]system\n{memory}[/INST]\n', 'prompt_template': '[INST]user\n{prompt}[/INST]\n', 'bot_template': '[INST]assistant\n{bot_name}: {message}[/INST]\n', 'user_template': '[INST]user\n{user_name}: {message}[/INST]\n', 'response_template': '[INST]assistant\n{bot_name}:', 'truncate_by_message': False}
generation_params: {'temperature': 0.75, 'top_p': 1.0, 'min_p': 0.1, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '[/INST]'], 'max_input_tokens': 512, 'best_of': 8, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: jic062/dpo-v1.4-Nemo-c500
latencies: [{'batch_size': 1, 'throughput': 0.6961450887536549, 'latency_mean': 1.4363904452323915, 'latency_p50': 1.4281710386276245, 'latency_p90': 1.6013994216918945}, {'batch_size': 3, 'throughput': 1.318350721089663, 'latency_mean': 2.2681731367111206, 'latency_p50': 2.2731012105941772, 'latency_p90': 2.530795192718506}, {'batch_size': 5, 'throughput': 1.5404597220970047, 'latency_mean': 3.2276690924167633, 'latency_p50': 3.2049684524536133, 'latency_p90': 3.6570931911468505}, {'batch_size': 6, 'throughput': 1.6204383147979933, 'latency_mean': 3.6843768739700318, 'latency_p50': 3.695119261741638, 'latency_p90': 4.225161528587341}, {'batch_size': 8, 'throughput': 1.5728174563994215, 'latency_mean': 5.042973309755325, 'latency_p50': 5.074453353881836, 'latency_p90': 5.692192101478577}, {'batch_size': 10, 'throughput': 1.5166059140497983, 'latency_mean': 6.557505003213882, 'latency_p50': 6.628609657287598, 'latency_p90': 7.369110774993897}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: jic062/dpo-v1.4-Nemo-c50
model_name: jic062-dpo-v1-4-nemo-c500_v1
model_num_parameters: 12772070400.0
model_repo: jic062/dpo-v1.4-Nemo-c500
model_size: 13B
num_battles: 14433
num_wins: 7347
propriety_score: 0.7063829787234043
propriety_total_count: 1175.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.63
timestamp: 2024-09-13T03:38:21+00:00
us_pacific_date: 2024-09-12
win_ratio: 0.5090417792558719
Download Preference Data
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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 jic062-dpo-v1-4-nemo-c500-v1-mkmlizer
Waiting for job on jic062-dpo-v1-4-nemo-c500-v1-mkmlizer to finish
Failed to get response for submission riverise-0912-1056-sft-9k_v2: ('http://riverise-0912-1056-sft-9k-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:38114->127.0.0.1:8080: read: connection reset by peer\n')
jic062-dpo-v1-4-nemo-c500-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jic062-dpo-v1-4-nemo-c500-v1-mkmlizer: ║ _____ __ __ ║
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jic062-dpo-v1-4-nemo-c500-v1-mkmlizer: ║ ║
jic062-dpo-v1-4-nemo-c500-v1-mkmlizer: ║ Version: 0.10.1 ║
jic062-dpo-v1-4-nemo-c500-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
jic062-dpo-v1-4-nemo-c500-v1-mkmlizer: ║ https://mk1.ai ║
jic062-dpo-v1-4-nemo-c500-v1-mkmlizer: ║ ║
jic062-dpo-v1-4-nemo-c500-v1-mkmlizer: ║ The license key for the current software has been verified as ║
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jic062-dpo-v1-4-nemo-c500-v1-mkmlizer: ║ Chai Research Corp. ║
jic062-dpo-v1-4-nemo-c500-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
jic062-dpo-v1-4-nemo-c500-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
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jic062-dpo-v1-4-nemo-c500-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jic062-dpo-v1-4-nemo-c500-v1-mkmlizer: Downloaded to shared memory in 44.791s
jic062-dpo-v1-4-nemo-c500-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp4kydct6e, device:0
jic062-dpo-v1-4-nemo-c500-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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jic062-dpo-v1-4-nemo-c500-v1-mkmlizer: quantized model in 36.553s
jic062-dpo-v1-4-nemo-c500-v1-mkmlizer: Processed model jic062/dpo-v1.4-Nemo-c500 in 81.345s
jic062-dpo-v1-4-nemo-c500-v1-mkmlizer: creating bucket guanaco-mkml-models
jic062-dpo-v1-4-nemo-c500-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jic062-dpo-v1-4-nemo-c500-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jic062-dpo-v1-4-nemo-c500-v1
jic062-dpo-v1-4-nemo-c500-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jic062-dpo-v1-4-nemo-c500-v1/config.json
jic062-dpo-v1-4-nemo-c500-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jic062-dpo-v1-4-nemo-c500-v1/special_tokens_map.json
jic062-dpo-v1-4-nemo-c500-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jic062-dpo-v1-4-nemo-c500-v1/tokenizer_config.json
jic062-dpo-v1-4-nemo-c500-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jic062-dpo-v1-4-nemo-c500-v1/tokenizer.json
jic062-dpo-v1-4-nemo-c500-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jic062-dpo-v1-4-nemo-c500-v1/flywheel_model.0.safetensors
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Job jic062-dpo-v1-4-nemo-c500-v1-mkmlizer completed after 107.36s with status: succeeded
Stopping job with name jic062-dpo-v1-4-nemo-c500-v1-mkmlizer
Pipeline stage MKMLizer completed in 108.28s
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Creating inference service jic062-dpo-v1-4-nemo-c500-v1
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Inference service jic062-dpo-v1-4-nemo-c500-v1 ready after 180.70353364944458s
Pipeline stage MKMLDeployer completed in 181.06s
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Running pipeline stage StressChecker
Received healthy response to inference request in 3.8186542987823486s
Received healthy response to inference request in 2.4412174224853516s
Received healthy response to inference request in 2.20790696144104s
Received healthy response to inference request in 1.9536373615264893s
Received healthy response to inference request in 2.497779607772827s
5 requests
0 failed requests
5th percentile: 2.0044912815093996
10th percentile: 2.0553452014923095
20th percentile: 2.1570530414581297
30th percentile: 2.2545690536499023
40th percentile: 2.347893238067627
50th percentile: 2.4412174224853516
60th percentile: 2.4638422966003417
70th percentile: 2.486467170715332
80th percentile: 2.7619545459747314
90th percentile: 3.29030442237854
95th percentile: 3.5544793605804443
99th percentile: 3.7658193111419678
mean time: 2.5838391304016115
Pipeline stage StressChecker completed in 13.95s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 6.81s
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Creating inference service jic062-dpo-v1-4-nemo-c500-v1-profiler
Waiting for inference service jic062-dpo-v1-4-nemo-c500-v1-profiler to be ready
Inference service jic062-dpo-v1-4-nemo-c500-v1-profiler ready after 180.4048879146576s
Pipeline stage MKMLProfilerDeployer completed in 180.77s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/jic062-dpo-v1-4-nemo1cefeab1464c6a46f0576e049064de69-deplo4crps:/code/chaiverse_profiler_1726199237 --namespace tenant-chaiml-guanaco
kubectl exec -it jic062-dpo-v1-4-nemo1cefeab1464c6a46f0576e049064de69-deplo4crps --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726199237 && 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 512 --output_tokens 64 --summary /code/chaiverse_profiler_1726199237/summary.json'
kubectl exec -it jic062-dpo-v1-4-nemo1cefeab1464c6a46f0576e049064de69-deplo4crps --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726199237/summary.json'
Pipeline stage MKMLProfilerRunner completed in 957.84s
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Running pipeline stage MKMLProfilerDeleter
Checking if service jic062-dpo-v1-4-nemo-c500-v1-profiler is running
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Service jic062-dpo-v1-4-nemo-c500-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.03s
Shutdown handler de-registered
jic062-dpo-v1-4-nemo-c500_v1 status is now inactive due to auto deactivation removed underperforming models