developer_uid: azuruce
submission_id: chaiml-0916-intent-suppo_6584_v2
model_name: 0916-intent-support-comp
model_group: ChaiML/0916-intent-suppo
status: torndown
timestamp: 2024-09-19T19:27:31+00:00
num_battles: 12218
num_wins: 6002
celo_rating: 1247.68
family_friendly_score: 0.0
submission_type: basic
model_repo: ChaiML/0916-intent-support-albert
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 4
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6344797056229359, 'latency_mean': 1.5760053634643554, 'latency_p50': 1.5796140432357788, 'latency_p90': 1.7284714937210084}, {'batch_size': 3, 'throughput': 1.2448532100192093, 'latency_mean': 2.402867593765259, 'latency_p50': 2.397289991378784, 'latency_p90': 2.677950549125671}, {'batch_size': 5, 'throughput': 1.5356554766685908, 'latency_mean': 3.2470115506649018, 'latency_p50': 3.235519051551819, 'latency_p90': 3.6039973258972164}, {'batch_size': 6, 'throughput': 1.6309382441096392, 'latency_mean': 3.6588893795013426, 'latency_p50': 3.6583741903305054, 'latency_p90': 4.13346300125122}, {'batch_size': 8, 'throughput': 1.7241565886950483, 'latency_mean': 4.614623296260834, 'latency_p50': 4.58792507648468, 'latency_p90': 5.18735818862915}, {'batch_size': 10, 'throughput': 1.7763081330909003, 'latency_mean': 5.590334267616272, 'latency_p50': 5.56310510635376, 'latency_p90': 6.356348085403442}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: 0916-intent-support-comp
is_internal_developer: True
language_model: ChaiML/0916-intent-support-albert
model_size: 13B
ranking_group: single
throughput_3p7s: 1.64
us_pacific_date: 2024-09-19
win_ratio: 0.4912424292028155
generation_params: {'temperature': 0.9, 'top_p': 0.9, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.5, 'frequency_penalty': 0.5, 'stopping_words': ['\n', '</s>'], 'max_input_tokens': 1024, 'best_of': 4, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n##Try to make the conversation scary while stay in character##\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}
Resubmit model
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Running pipeline stage MKMLizer
Starting job with name chaiml-0916-intent-suppo-6584-v2-mkmlizer
Waiting for job on chaiml-0916-intent-suppo-6584-v2-mkmlizer to finish
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chaiml-0916-intent-suppo-6584-v2-mkmlizer: Downloaded to shared memory in 107.021s
chaiml-0916-intent-suppo-6584-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpi96yr8hd, device:0
chaiml-0916-intent-suppo-6584-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-0916-intent-suppo-6584-v2-mkmlizer: quantized model in 42.018s
chaiml-0916-intent-suppo-6584-v2-mkmlizer: Processed model ChaiML/0916-intent-support-albert in 149.039s
chaiml-0916-intent-suppo-6584-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-0916-intent-suppo-6584-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-0916-intent-suppo-6584-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-0916-intent-suppo-6584-v2
chaiml-0916-intent-suppo-6584-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-0916-intent-suppo-6584-v2/special_tokens_map.json
chaiml-0916-intent-suppo-6584-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-0916-intent-suppo-6584-v2/config.json
chaiml-0916-intent-suppo-6584-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-0916-intent-suppo-6584-v2/tokenizer_config.json
chaiml-0916-intent-suppo-6584-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-0916-intent-suppo-6584-v2/tokenizer.json
chaiml-0916-intent-suppo-6584-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-0916-intent-suppo-6584-v2/flywheel_model.0.safetensors
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Job chaiml-0916-intent-suppo-6584-v2-mkmlizer completed after 178.33s with status: succeeded
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-0916-intent-s51e5c666661ab5113b9d7152cbc4569b-deplo7qbpf:/code/chaiverse_profiler_1726774687 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-0916-intent-s51e5c666661ab5113b9d7152cbc4569b-deplo7qbpf --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726774687 && python profiles.py profile --best_of_n 4 --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_1726774687/summary.json'
kubectl exec -it chaiml-0916-intent-s51e5c666661ab5113b9d7152cbc4569b-deplo7qbpf --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726774687/summary.json'
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