trace2333-mistral-dpo-trail1

submission_id: trace2333-mistral-dpo-trail1_v2

developer_uid: Trace2333

alignment_samples: 10963

alignment_score: -0.43990837271740585

best_of: 8

celo_rating: 1256.45

display_name: trace2333-mistral-dpo-trail1_v2

formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}

generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.06, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>'], 'max_input_tokens': 512, 'best_of': 8, 'max_output_tokens': 64}

gpu_counts: {'NVIDIA RTX A5000': 1}

is_internal_developer: False

language_model: Trace2333/mistral_dpo_trail1

latencies: [{'batch_size': 1, 'throughput': 0.7039228918400314, 'latency_mean': 1.4205172431468964, 'latency_p50': 1.4226560592651367, 'latency_p90': 1.5940174818038941}, {'batch_size': 3, 'throughput': 1.3509600920350067, 'latency_mean': 2.2126654398441317, 'latency_p50': 2.2197154760360718, 'latency_p90': 2.493104100227356}, {'batch_size': 5, 'throughput': 1.59561441290727, 'latency_mean': 3.1165970182418823, 'latency_p50': 3.1142425537109375, 'latency_p90': 3.4867151260375975}, {'batch_size': 6, 'throughput': 1.6424364704755663, 'latency_mean': 3.637619376182556, 'latency_p50': 3.625206232070923, 'latency_p90': 4.1895997524261475}, {'batch_size': 8, 'throughput': 1.6396190311305983, 'latency_mean': 4.853275482654571, 'latency_p50': 4.889989972114563, 'latency_p90': 5.528837442398071}, {'batch_size': 10, 'throughput': 1.579291121643863, 'latency_mean': 6.288628416061401, 'latency_p50': 6.3875943422317505, 'latency_p90': 7.104311609268188}]

max_input_tokens: 512

max_output_tokens: 64

model_architecture: MistralForCausalLM

model_group: Trace2333/mistral_dpo_tr

model_name: trace2333-mistral-dpo-trail1_v2

model_num_parameters: 12772070400.0

model_repo: Trace2333/mistral_dpo_trail1

model_size: 13B

num_battles: 10962

num_wins: 5691

propriety_score: 0.7

propriety_total_count: 930.0

ranking_group: single

status: inactive

submission_type: basic

throughput_3p7s: 1.65

timestamp: 2024-09-11T02:44:16+00:00

us_pacific_date: 2024-09-10

win_ratio: 0.5191570881226054

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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 trace2333-mistral-dpo-trail1-v2-mkmlizer
Waiting for job on trace2333-mistral-dpo-trail1-v2-mkmlizer to finish
trace2333-mistral-dpo-trail1-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
trace2333-mistral-dpo-trail1-v2-mkmlizer: ║     _____            __           __                                ║
trace2333-mistral-dpo-trail1-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
trace2333-mistral-dpo-trail1-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
trace2333-mistral-dpo-trail1-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
trace2333-mistral-dpo-trail1-v2-mkmlizer: ║       /___/                                                         ║
trace2333-mistral-dpo-trail1-v2-mkmlizer: ║                                                                     ║
trace2333-mistral-dpo-trail1-v2-mkmlizer: ║  Version: 0.10.1                                                    ║
trace2333-mistral-dpo-trail1-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
trace2333-mistral-dpo-trail1-v2-mkmlizer: ║  https://mk1.ai                                                     ║
trace2333-mistral-dpo-trail1-v2-mkmlizer: ║                                                                     ║
trace2333-mistral-dpo-trail1-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
trace2333-mistral-dpo-trail1-v2-mkmlizer: ║  belonging to:                                                      ║
trace2333-mistral-dpo-trail1-v2-mkmlizer: ║                                                                     ║
trace2333-mistral-dpo-trail1-v2-mkmlizer: ║  Chai Research Corp.                                                ║
trace2333-mistral-dpo-trail1-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
trace2333-mistral-dpo-trail1-v2-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
trace2333-mistral-dpo-trail1-v2-mkmlizer: ║                                                                     ║
trace2333-mistral-dpo-trail1-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
trace2333-mistral-dpo-trail1-v2-mkmlizer: Downloaded to shared memory in 34.515s
trace2333-mistral-dpo-trail1-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpt52uvh_h, device:0
trace2333-mistral-dpo-trail1-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Connection pool is full, discarding connection: %s. Connection pool size: %s
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trace2333-mistral-dpo-trail1-v2-mkmlizer: quantized model in 35.861s
trace2333-mistral-dpo-trail1-v2-mkmlizer: Processed model Trace2333/mistral_dpo_trail1 in 70.376s
trace2333-mistral-dpo-trail1-v2-mkmlizer: creating bucket guanaco-mkml-models
trace2333-mistral-dpo-trail1-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
trace2333-mistral-dpo-trail1-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/trace2333-mistral-dpo-trail1-v2
trace2333-mistral-dpo-trail1-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/trace2333-mistral-dpo-trail1-v2/special_tokens_map.json
trace2333-mistral-dpo-trail1-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/trace2333-mistral-dpo-trail1-v2/config.json
trace2333-mistral-dpo-trail1-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/trace2333-mistral-dpo-trail1-v2/tokenizer_config.json
trace2333-mistral-dpo-trail1-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/trace2333-mistral-dpo-trail1-v2/tokenizer.json
trace2333-mistral-dpo-trail1-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/trace2333-mistral-dpo-trail1-v2/flywheel_model.0.safetensors
trace2333-mistral-dpo-trail1-v2-mkmlizer: 
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Job trace2333-mistral-dpo-trail1-v2-mkmlizer completed after 95.76s with status: succeeded
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Pipeline stage MKMLizer completed in 96.82s
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Inference service trace2333-mistral-dpo-trail1-v2 ready after 161.55307579040527s
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Received healthy response to inference request in 2.1604108810424805s
Received healthy response to inference request in 1.99674391746521s
Received healthy response to inference request in 1.815537452697754s
Received healthy response to inference request in 2.2548587322235107s
Received healthy response to inference request in 1.6211800575256348s
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Pipeline stage StressChecker completed in 10.58s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/trace2333-mistral-dpf138f33b93cbdf71f3eca249a444396e-deplowrsc5:/code/chaiverse_profiler_1726023135 --namespace tenant-chaiml-guanaco
kubectl exec -it trace2333-mistral-dpf138f33b93cbdf71f3eca249a444396e-deplowrsc5 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726023135 && 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_1726023135/summary.json'
kubectl exec -it trace2333-mistral-dpf138f33b93cbdf71f3eca249a444396e-deplowrsc5 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726023135/summary.json'
Pipeline stage MKMLProfilerRunner completed in 933.12s
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trace2333-mistral-dpo-trail1_v2 status is now inactive due to auto deactivation removed underperforming models