submission_id: mistralai-mistral-small_5341_v25
developer_uid: zonemercy
best_of: 1
celo_rating: 1177.25
display_name: mistralai-mistral-small_5341_v25
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': True}
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|>', '<|eot_id|>'], 'max_input_tokens': 1024, 'best_of': 1, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A6000': 1}
is_internal_developer: True
language_model: mistralai/Mistral-Small-Instruct-2409
latencies: [{'batch_size': 1, 'throughput': 0.4015414631986748, 'latency_mean': 2.490308644771576, 'latency_p50': 2.465972661972046, 'latency_p90': 2.770184588432312}, {'batch_size': 3, 'throughput': 0.8559706745538804, 'latency_mean': 3.4888463902473448, 'latency_p50': 3.5017240047454834, 'latency_p90': 3.9101952075958253}, {'batch_size': 5, 'throughput': 1.1721397800687747, 'latency_mean': 4.242213525772095, 'latency_p50': 4.261624813079834, 'latency_p90': 4.752268528938293}, {'batch_size': 6, 'throughput': 1.2909507374354765, 'latency_mean': 4.623244067430496, 'latency_p50': 4.615513563156128, 'latency_p90': 5.160506844520569}, {'batch_size': 8, 'throughput': 1.4505224959093233, 'latency_mean': 5.470817822217941, 'latency_p50': 5.490717530250549, 'latency_p90': 6.083581209182739}, {'batch_size': 10, 'throughput': 1.5959153464038673, 'latency_mean': 6.2187822830677035, 'latency_p50': 6.22546911239624, 'latency_p90': 6.937139844894409}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: mistralai/Mistral-Small-
model_name: mistralai-mistral-small_5341_v25
model_num_parameters: 22247282688.0
model_repo: mistralai/Mistral-Small-Instruct-2409
model_size: 22B
num_battles: 25914
num_wins: 10579
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 0.96
timestamp: 2024-09-23T16:14:48+00:00
us_pacific_date: 2024-09-23
win_ratio: 0.4082349309253685
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mistralai-mistral-small-5341-v25-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-small-5341-v25-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-small-5341-v25-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-small-5341-v25-mkmlizer: ║                                                                     ║
mistralai-mistral-small-5341-v25-mkmlizer: ║  Version: 0.10.1                                                    ║
mistralai-mistral-small-5341-v25-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-small-5341-v25-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-small-5341-v25-mkmlizer: ║                                                                     ║
mistralai-mistral-small-5341-v25-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-small-5341-v25-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-small-5341-v25-mkmlizer: ║                                                                     ║
mistralai-mistral-small-5341-v25-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-small-5341-v25-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-small-5341-v25-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
mistralai-mistral-small-5341-v25-mkmlizer: ║                                                                     ║
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mistralai-mistral-small-5341-v25-mkmlizer: Downloaded to shared memory in 85.221s
mistralai-mistral-small-5341-v25-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpib7tp479, device:0
mistralai-mistral-small-5341-v25-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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mistralai-mistral-small-5341-v25-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-small-5341-v25-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-small-5341-v25-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-small-5341-v25
mistralai-mistral-small-5341-v25-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-small-5341-v25/special_tokens_map.json
mistralai-mistral-small-5341-v25-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-small-5341-v25/config.json
mistralai-mistral-small-5341-v25-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-small-5341-v25/tokenizer_config.json
mistralai-mistral-small-5341-v25-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/mistralai-mistral-small-5341-v25/tokenizer.model
mistralai-mistral-small-5341-v25-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-small-5341-v25/tokenizer.json
Job mistralai-mistral-small-5341-v25-mkmlizer completed after 201.67s with status: succeeded
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Inference service mistralai-mistral-small-5341-v25 ready after 192.18976521492004s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/mistralai-mistral-sm6ca41bbbf3b6a1cf301f08ea97da0778-deplocxcxr:/code/chaiverse_profiler_1727108741 --namespace tenant-chaiml-guanaco
kubectl exec -it mistralai-mistral-sm6ca41bbbf3b6a1cf301f08ea97da0778-deplocxcxr --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1727108741 && python profiles.py profile --best_of_n 1 --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_1727108741/summary.json'
kubectl exec -it mistralai-mistral-sm6ca41bbbf3b6a1cf301f08ea97da0778-deplocxcxr --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1727108741/summary.json'
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