developer_uid: NischayDnk
submission_id: chaiml-cogito14b-dpoexp_10161_v2
model_name: chaiml-cogito14b-dpoexp_10161_v2
model_group: ChaiML/cogito14b-dpoexp2
status: torndown
timestamp: 2025-05-02T10:10:22+00:00
num_battles: 7003
num_wins: 3738
celo_rating: 1308.11
family_friendly_score: 0.4988
family_friendly_standard_error: 0.007071047447160852
submission_type: basic
model_repo: ChaiML/cogito14b-dpoexp2-s1-datav1-1284prefsft-mgpu
model_architecture: Qwen2ForCausalLM
model_num_parameters: 14765603840.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.47367073552128225, 'latency_mean': 2.1111093628406525, 'latency_p50': 2.107001781463623, 'latency_p90': 2.332503890991211}, {'batch_size': 3, 'throughput': 0.8726576219395709, 'latency_mean': 3.4197057628631593, 'latency_p50': 3.432263970375061, 'latency_p90': 3.7878289461135863}, {'batch_size': 5, 'throughput': 1.0652612143636853, 'latency_mean': 4.669933919906616, 'latency_p50': 4.718017578125, 'latency_p90': 5.190479397773743}, {'batch_size': 6, 'throughput': 1.1225153929757703, 'latency_mean': 5.325576021671295, 'latency_p50': 5.296399235725403, 'latency_p90': 5.902623033523559}, {'batch_size': 10, 'throughput': 1.2162024732340857, 'latency_mean': 8.15816178202629, 'latency_p50': 8.111783742904663, 'latency_p90': 9.274491047859192}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: chaiml-cogito14b-dpoexp_10161_v2
is_internal_developer: False
language_model: ChaiML/cogito14b-dpoexp2-s1-datav1-1284prefsft-mgpu
model_size: 15B
ranking_group: single
throughput_3p7s: 0.93
us_pacific_date: 2025-05-02
win_ratio: 0.5337712408967585
generation_params: {'temperature': 0.8, 'top_p': 0.96, 'min_p': 0.02, 'top_k': 40, 'presence_penalty': 0.1, 'frequency_penalty': 0.1, 'stopping_words': ['\n', '<|im_start|>', '<|im_end|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '<|system|>Family Friendly{memory}\n', 'prompt_template': '', 'bot_template': '<|im_start|>assistant\n{message}<|im_end|>\n', 'user_template': '<|im_start|>user\nYou:{message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n', 'truncate_by_message': False}
Resubmit model
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-cogito14b-dpoexp-10161-v2-mkmlizer
Waiting for job on chaiml-cogito14b-dpoexp-10161-v2-mkmlizer to finish
chaiml-cogito14b-dpoexp-10161-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-cogito14b-dpoexp-10161-v2-mkmlizer: ║ _____ __ __ ║
chaiml-cogito14b-dpoexp-10161-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
chaiml-cogito14b-dpoexp-10161-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
chaiml-cogito14b-dpoexp-10161-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
chaiml-cogito14b-dpoexp-10161-v2-mkmlizer: ║ /___/ ║
chaiml-cogito14b-dpoexp-10161-v2-mkmlizer: ║ ║
chaiml-cogito14b-dpoexp-10161-v2-mkmlizer: ║ Version: 0.12.8 ║
chaiml-cogito14b-dpoexp-10161-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-cogito14b-dpoexp-10161-v2-mkmlizer: ║ https://mk1.ai ║
chaiml-cogito14b-dpoexp-10161-v2-mkmlizer: ║ ║
chaiml-cogito14b-dpoexp-10161-v2-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-cogito14b-dpoexp-10161-v2-mkmlizer: ║ belonging to: ║
chaiml-cogito14b-dpoexp-10161-v2-mkmlizer: ║ ║
chaiml-cogito14b-dpoexp-10161-v2-mkmlizer: ║ Chai Research Corp. ║
chaiml-cogito14b-dpoexp-10161-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-cogito14b-dpoexp-10161-v2-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-cogito14b-dpoexp-10161-v2-mkmlizer: ║ ║
chaiml-cogito14b-dpoexp-10161-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-cogito14b-dpoexp-10161-v2-mkmlizer: Downloaded to shared memory in 52.596s
chaiml-cogito14b-dpoexp-10161-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpwm98twq9, device:0
chaiml-cogito14b-dpoexp-10161-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-cogito14b-dpoexp-10161-v2-mkmlizer: quantized model in 36.688s
chaiml-cogito14b-dpoexp-10161-v2-mkmlizer: Processed model ChaiML/cogito14b-dpoexp2-s1-datav1-1284prefsft-mgpu in 89.284s
chaiml-cogito14b-dpoexp-10161-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-cogito14b-dpoexp-10161-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-cogito14b-dpoexp-10161-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-cogito14b-dpoexp-10161-v2
chaiml-cogito14b-dpoexp-10161-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-cogito14b-dpoexp-10161-v2/config.json
chaiml-cogito14b-dpoexp-10161-v2-mkmlizer: cp /dev/shm/model_cache/added_tokens.json s3://guanaco-mkml-models/chaiml-cogito14b-dpoexp-10161-v2/added_tokens.json
chaiml-cogito14b-dpoexp-10161-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-cogito14b-dpoexp-10161-v2/tokenizer_config.json
chaiml-cogito14b-dpoexp-10161-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-cogito14b-dpoexp-10161-v2/special_tokens_map.json
chaiml-cogito14b-dpoexp-10161-v2-mkmlizer: cp /dev/shm/model_cache/merges.txt s3://guanaco-mkml-models/chaiml-cogito14b-dpoexp-10161-v2/merges.txt
chaiml-cogito14b-dpoexp-10161-v2-mkmlizer: cp /dev/shm/model_cache/vocab.json s3://guanaco-mkml-models/chaiml-cogito14b-dpoexp-10161-v2/vocab.json
chaiml-cogito14b-dpoexp-10161-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-cogito14b-dpoexp-10161-v2/tokenizer.json
chaiml-cogito14b-dpoexp-10161-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-cogito14b-dpoexp-10161-v2/flywheel_model.1.safetensors
chaiml-cogito14b-dpoexp-10161-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-cogito14b-dpoexp-10161-v2/flywheel_model.0.safetensors
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Job chaiml-cogito14b-dpoexp-10161-v2-mkmlizer completed after 115.09s with status: succeeded
Stopping job with name chaiml-cogito14b-dpoexp-10161-v2-mkmlizer
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mean time: 2.201610231399536
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-cogito14b-dpo159eaf56a9471806071c9386b8d9cea2-deplop5bz6:/code/chaiverse_profiler_1746181133 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-cogito14b-dpo159eaf56a9471806071c9386b8d9cea2-deplop5bz6 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1746181133 && 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_1746181133/summary.json'
kubectl exec -it chaiml-cogito14b-dpo159eaf56a9471806071c9386b8d9cea2-deplop5bz6 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1746181133/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1191.38s
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