zonemercy-base-story-v1

submission_id: zonemercy-base-story-v1_v2
developer_uid: zonemercy
best_of: 2
celo_rating: 1205.09
display_name: 0906stv1-1
family_friendly_score: 0.0
formatter: {'memory_template': " Write a story which is engaging, emotionally nuanced, and successfully captures User's attention in an unexpected setting.\n It adheres closely to the previous portion of the story while offering a fresh and compelling take on the scenario.\n Bot's Name: {bot_name}\nBot's Persona: {memory}\n####\n ", 'prompt_template': '', 'bot_template': 'Bot: {message}\n', 'user_template': 'User: {message}\n', 'response_template': 'Bot:', 'truncate_by_message': False}
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 100, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['</s>', 'Bot:', 'User:', 'You:'], 'max_input_tokens': 1024, 'best_of': 2, 'max_output_tokens': 128}
gpu_counts: {'NVIDIA RTX A5000': 1}
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: zonemercy/Base-Story-v1
latencies: [{'batch_size': 1, 'throughput': 0.3598543362547943, 'latency_mean': 2.778839861154556, 'latency_p50': 2.775922417640686, 'latency_p90': 2.94495313167572}, {'batch_size': 3, 'throughput': 0.8396862863515631, 'latency_mean': 3.565559140443802, 'latency_p50': 3.5714054107666016, 'latency_p90': 3.740120053291321}, {'batch_size': 5, 'throughput': 1.1630105591694562, 'latency_mean': 4.2732840240001675, 'latency_p50': 4.275267839431763, 'latency_p90': 4.58070740699768}, {'batch_size': 6, 'throughput': 1.2787189318591656, 'latency_mean': 4.6507860779762265, 'latency_p50': 4.667928457260132, 'latency_p90': 5.071785545349121}, {'batch_size': 8, 'throughput': 1.4742445015988146, 'latency_mean': 5.3925770163536075, 'latency_p50': 5.391638875007629, 'latency_p90': 5.948016166687012}, {'batch_size': 10, 'throughput': 1.5581401173447826, 'latency_mean': 6.3286603379249575, 'latency_p50': 6.3161033391952515, 'latency_p90': 6.896697640419006}]
max_input_tokens: 1024
max_output_tokens: 128
model_architecture: MistralForCausalLM
model_group: zonemercy/Base-Story-v1
model_name: 0906stv1-1
model_num_parameters: 12772070400.0
model_repo: zonemercy/Base-Story-v1
model_size: 13B
num_battles: 10124
num_wins: 4714
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 0.91
timestamp: 2024-09-06T11:36:45+00:00
us_pacific_date: 2024-09-06
win_ratio: 0.46562623468984593
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Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
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Running pipeline stage MKMLizer
Starting job with name zonemercy-base-story-v1-v2-mkmlizer
Waiting for job on zonemercy-base-story-v1-v2-mkmlizer to finish
Failed to get response for submission mistralai-mixtral-8x7b_3473_v131: ('http://chaiml-llama-8b-pairwis-8189-v19-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '{"error":"ValueError : [TypeError(\\"\'numpy.int64\' object is not iterable\\"), TypeError(\'vars() argument must have __dict__ attribute\')]"}')
zonemercy-base-story-v1-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zonemercy-base-story-v1-v2-mkmlizer: ║     _____            __           __                                ║
zonemercy-base-story-v1-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
zonemercy-base-story-v1-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
zonemercy-base-story-v1-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
zonemercy-base-story-v1-v2-mkmlizer: ║       /___/                                                         ║
zonemercy-base-story-v1-v2-mkmlizer: ║                                                                     ║
zonemercy-base-story-v1-v2-mkmlizer: ║  Version: 0.10.1                                                    ║
zonemercy-base-story-v1-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
zonemercy-base-story-v1-v2-mkmlizer: ║  https://mk1.ai                                                     ║
zonemercy-base-story-v1-v2-mkmlizer: ║                                                                     ║
zonemercy-base-story-v1-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
zonemercy-base-story-v1-v2-mkmlizer: ║  belonging to:                                                      ║
zonemercy-base-story-v1-v2-mkmlizer: ║                                                                     ║
zonemercy-base-story-v1-v2-mkmlizer: ║  Chai Research Corp.                                                ║
zonemercy-base-story-v1-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
zonemercy-base-story-v1-v2-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
zonemercy-base-story-v1-v2-mkmlizer: ║                                                                     ║
zonemercy-base-story-v1-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zonemercy-base-story-v1-v2-mkmlizer: Downloaded to shared memory in 100.957s
zonemercy-base-story-v1-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmppdmnupk3, device:0
zonemercy-base-story-v1-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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zonemercy-base-story-v1-v2-mkmlizer: quantized model in 40.214s
zonemercy-base-story-v1-v2-mkmlizer: Processed model zonemercy/Base-Story-v1 in 141.171s
zonemercy-base-story-v1-v2-mkmlizer: creating bucket guanaco-mkml-models
zonemercy-base-story-v1-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zonemercy-base-story-v1-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zonemercy-base-story-v1-v2
zonemercy-base-story-v1-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zonemercy-base-story-v1-v2/config.json
zonemercy-base-story-v1-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zonemercy-base-story-v1-v2/special_tokens_map.json
zonemercy-base-story-v1-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zonemercy-base-story-v1-v2/tokenizer_config.json
zonemercy-base-story-v1-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zonemercy-base-story-v1-v2/tokenizer.json
zonemercy-base-story-v1-v2-mkmlizer: 
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Job zonemercy-base-story-v1-v2-mkmlizer completed after 167.84s with status: succeeded
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/zonemercy-base-story-v1-v2-profiler-predictor-00001-deploypxfj2:/code/chaiverse_profiler_1725623137 --namespace tenant-chaiml-guanaco
kubectl exec -it zonemercy-base-story-v1-v2-profiler-predictor-00001-deploypxfj2 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725623137 && python profiles.py profile --best_of_n 2 --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 128 --summary /code/chaiverse_profiler_1725623137/summary.json'
kubectl exec -it zonemercy-base-story-v1-v2-profiler-predictor-00001-deploypxfj2 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725623137/summary.json'
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