developer_uid: azuruce
submission_id: chaiml-chaiml-sft-horror_v3
model_name: 0919-eboney-horror
model_group: ChaiML/chaiml-sft-horror
status: torndown
timestamp: 2024-09-19T19:22:35+00:00
num_battles: 13644
num_wins: 6565
celo_rating: 1240.54
family_friendly_score: 0.0
submission_type: basic
model_repo: ChaiML/chaiml-sft-horror
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 4
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.635725618253525, 'latency_mean': 1.5729442191123963, 'latency_p50': 1.565726637840271, 'latency_p90': 1.739984679222107}, {'batch_size': 3, 'throughput': 1.2530932563940842, 'latency_mean': 2.3873020339012148, 'latency_p50': 2.3870028257369995, 'latency_p90': 2.609681177139282}, {'batch_size': 5, 'throughput': 1.5538881653753625, 'latency_mean': 3.1993695211410524, 'latency_p50': 3.189504027366638, 'latency_p90': 3.6276423692703244}, {'batch_size': 6, 'throughput': 1.6444576423668154, 'latency_mean': 3.628567770719528, 'latency_p50': 3.6042792797088623, 'latency_p90': 4.05694055557251}, {'batch_size': 8, 'throughput': 1.7563983432015715, 'latency_mean': 4.5178751111030575, 'latency_p50': 4.514602780342102, 'latency_p90': 5.169720983505249}, {'batch_size': 10, 'throughput': 1.8014144012247562, 'latency_mean': 5.510025978088379, 'latency_p50': 5.497288942337036, 'latency_p90': 6.36171588897705}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: 0919-eboney-horror
is_internal_developer: True
language_model: ChaiML/chaiml-sft-horror
model_size: 13B
ranking_group: single
throughput_3p7s: 1.67
us_pacific_date: 2024-09-19
win_ratio: 0.48116388155965994
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-chaiml-sft-horror-v3-mkmlizer
Waiting for job on chaiml-chaiml-sft-horror-v3-mkmlizer to finish
chaiml-chaiml-sft-horror-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-chaiml-sft-horror-v3-mkmlizer: ║ _____ __ __ ║
chaiml-chaiml-sft-horror-v3-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
chaiml-chaiml-sft-horror-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
chaiml-chaiml-sft-horror-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
chaiml-chaiml-sft-horror-v3-mkmlizer: ║ /___/ ║
chaiml-chaiml-sft-horror-v3-mkmlizer: ║ ║
chaiml-chaiml-sft-horror-v3-mkmlizer: ║ Version: 0.10.1 ║
chaiml-chaiml-sft-horror-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-chaiml-sft-horror-v3-mkmlizer: ║ https://mk1.ai ║
chaiml-chaiml-sft-horror-v3-mkmlizer: ║ ║
chaiml-chaiml-sft-horror-v3-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-chaiml-sft-horror-v3-mkmlizer: ║ belonging to: ║
chaiml-chaiml-sft-horror-v3-mkmlizer: ║ ║
chaiml-chaiml-sft-horror-v3-mkmlizer: ║ Chai Research Corp. ║
chaiml-chaiml-sft-horror-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-chaiml-sft-horror-v3-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
chaiml-chaiml-sft-horror-v3-mkmlizer: ║ ║
chaiml-chaiml-sft-horror-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-chaiml-sft-horror-v3-mkmlizer: Downloaded to shared memory in 92.739s
chaiml-chaiml-sft-horror-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpvs9sp6jc, device:0
chaiml-chaiml-sft-horror-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-chaiml-sft-horror-v3-mkmlizer: quantized model in 40.533s
chaiml-chaiml-sft-horror-v3-mkmlizer: Processed model ChaiML/chaiml-sft-horror in 133.272s
chaiml-chaiml-sft-horror-v3-mkmlizer: creating bucket guanaco-mkml-models
chaiml-chaiml-sft-horror-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-chaiml-sft-horror-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-chaiml-sft-horror-v3
chaiml-chaiml-sft-horror-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-chaiml-sft-horror-v3/config.json
chaiml-chaiml-sft-horror-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-chaiml-sft-horror-v3/special_tokens_map.json
chaiml-chaiml-sft-horror-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-chaiml-sft-horror-v3/tokenizer_config.json
chaiml-chaiml-sft-horror-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-chaiml-sft-horror-v3/tokenizer.json
chaiml-chaiml-sft-horror-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-chaiml-sft-horror-v3/flywheel_model.0.safetensors
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Job chaiml-chaiml-sft-horror-v3-mkmlizer completed after 159.25s with status: succeeded
Stopping job with name chaiml-chaiml-sft-horror-v3-mkmlizer
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Inference service chaiml-chaiml-sft-horror-v3 ready after 201.41521286964417s
Pipeline stage MKMLDeployer completed in 202.06s
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Received healthy response to inference request in 2.401135206222534s
Received healthy response to inference request in 2.1187493801116943s
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Received healthy response to inference request in 2.2246432304382324s
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Received healthy response to inference request in 2.1676056385040283s
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5th percentile: 2.128520631790161
10th percentile: 2.1382918834686278
20th percentile: 2.1578343868255616
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99th percentile: 2.398079614639282
mean time: 2.2473757743835447
Pipeline stage StressChecker completed in 12.80s
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Inference service chaiml-chaiml-sft-horror-v3-profiler ready after 200.46677207946777s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-chaiml-sft-horror-v3-profiler-predictor-00001-deplocvqrr:/code/chaiverse_profiler_1726774394 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-chaiml-sft-horror-v3-profiler-predictor-00001-deplocvqrr --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726774394 && 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_1726774394/summary.json'
kubectl exec -it chaiml-chaiml-sft-horror-v3-profiler-predictor-00001-deplocvqrr --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726774394/summary.json'
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