submission_id: chaiml-virgo-edit-v1-1e5_v4
developer_uid: chai_backend_admin
best_of: 8
celo_rating: 1248.75
display_name: 0919v2-0
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': False}
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|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: True
language_model: ChaiML/Virgo-Edit-v1-1e5
latencies: [{'batch_size': 1, 'throughput': 0.6100851070967326, 'latency_mean': 1.6390536630153656, 'latency_p50': 1.6461681127548218, 'latency_p90': 1.7976883172988891}, {'batch_size': 3, 'throughput': 1.0603797323064652, 'latency_mean': 2.814978755712509, 'latency_p50': 2.8114558458328247, 'latency_p90': 3.107679295539856}, {'batch_size': 5, 'throughput': 1.2186244949873595, 'latency_mean': 4.09019048333168, 'latency_p50': 4.110698223114014, 'latency_p90': 4.6026955366134645}, {'batch_size': 6, 'throughput': 1.2268234807443081, 'latency_mean': 4.869183515310287, 'latency_p50': 4.91438615322113, 'latency_p90': 5.418460631370544}, {'batch_size': 8, 'throughput': 1.2144792502865138, 'latency_mean': 6.548939073085785, 'latency_p50': 6.620213150978088, 'latency_p90': 7.403575754165649}, {'batch_size': 10, 'throughput': 1.189821620894607, 'latency_mean': 8.35661067724228, 'latency_p50': 8.404250383377075, 'latency_p90': 9.43616454601288}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: ChaiML/Virgo-Edit-v1-1e5
model_name: 0919v2-0
model_num_parameters: 12772070400.0
model_repo: ChaiML/Virgo-Edit-v1-1e5
model_size: 13B
num_battles: 14332
num_wins: 7075
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.19
timestamp: 2024-09-19T21:08:20+00:00
us_pacific_date: 2024-09-19
win_ratio: 0.49365057214624614
Download Preference Data
Resubmit model
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Running pipeline stage MKMLizer
Starting job with name chaiml-virgo-edit-v1-1e5-v4-mkmlizer
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chaiml-virgo-edit-v1-1e5-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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chaiml-virgo-edit-v1-1e5-v4-mkmlizer: ║ /___/ ║
chaiml-virgo-edit-v1-1e5-v4-mkmlizer: ║ ║
chaiml-virgo-edit-v1-1e5-v4-mkmlizer: ║ Version: 0.10.1 ║
chaiml-virgo-edit-v1-1e5-v4-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-virgo-edit-v1-1e5-v4-mkmlizer: ║ https://mk1.ai ║
chaiml-virgo-edit-v1-1e5-v4-mkmlizer: ║ ║
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chaiml-virgo-edit-v1-1e5-v4-mkmlizer: ║ Chai Research Corp. ║
chaiml-virgo-edit-v1-1e5-v4-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-virgo-edit-v1-1e5-v4-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
chaiml-virgo-edit-v1-1e5-v4-mkmlizer: ║ ║
chaiml-virgo-edit-v1-1e5-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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chaiml-virgo-edit-v1-1e5-v4-mkmlizer: Downloaded to shared memory in 54.913s
chaiml-virgo-edit-v1-1e5-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpir6vp1h5, device:0
chaiml-virgo-edit-v1-1e5-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-virgo-edit-v1-1e5-v4-mkmlizer: quantized model in 40.045s
chaiml-virgo-edit-v1-1e5-v4-mkmlizer: Processed model ChaiML/Virgo-Edit-v1-1e5 in 94.959s
chaiml-virgo-edit-v1-1e5-v4-mkmlizer: creating bucket guanaco-mkml-models
chaiml-virgo-edit-v1-1e5-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-virgo-edit-v1-1e5-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-virgo-edit-v1-1e5-v4
chaiml-virgo-edit-v1-1e5-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-virgo-edit-v1-1e5-v4/config.json
chaiml-virgo-edit-v1-1e5-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-virgo-edit-v1-1e5-v4/special_tokens_map.json
chaiml-virgo-edit-v1-1e5-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-virgo-edit-v1-1e5-v4/tokenizer_config.json
chaiml-virgo-edit-v1-1e5-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-virgo-edit-v1-1e5-v4/tokenizer.json
chaiml-virgo-edit-v1-1e5-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-virgo-edit-v1-1e5-v4/flywheel_model.0.safetensors
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Job chaiml-virgo-edit-v1-1e5-v4-mkmlizer completed after 115.01s with status: succeeded
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Inference service chaiml-virgo-edit-v1-1e5-v4 ready after 201.2627465724945s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-virgo-edit-v1-1e5-v4-profiler-predictor-00001-deplomw857:/code/chaiverse_profiler_1726780688 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-virgo-edit-v1-1e5-v4-profiler-predictor-00001-deplomw857 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726780688 && 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_1726780688/summary.json'
kubectl exec -it chaiml-virgo-edit-v1-1e5-v4-profiler-predictor-00001-deplomw857 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726780688/summary.json'
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