submission_id: zonemercy-lexical-nemo-_1518_v23
developer_uid: zonemercy
best_of: 2
celo_rating: 1243.51
display_name: 0906stv1-3
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/Lexical-Nemo-v4-1k1e5
latencies: [{'batch_size': 1, 'throughput': 0.3574612097526034, 'latency_mean': 2.797444349527359, 'latency_p50': 2.80932879447937, 'latency_p90': 2.9526122570037843}, {'batch_size': 3, 'throughput': 0.8364823711204273, 'latency_mean': 3.5769710969924926, 'latency_p50': 3.577332377433777, 'latency_p90': 3.7898276090621947}, {'batch_size': 5, 'throughput': 1.1642446149744263, 'latency_mean': 4.269287297725677, 'latency_p50': 4.249992609024048, 'latency_p90': 4.633981513977051}, {'batch_size': 6, 'throughput': 1.2789117580299187, 'latency_mean': 4.645504316091538, 'latency_p50': 4.639607191085815, 'latency_p90': 5.0540224552154545}, {'batch_size': 8, 'throughput': 1.4721069207052186, 'latency_mean': 5.4005785405635836, 'latency_p50': 5.394631385803223, 'latency_p90': 5.844778299331665}, {'batch_size': 10, 'throughput': 1.5721563390234834, 'latency_mean': 6.324041740894318, 'latency_p50': 6.338391065597534, 'latency_p90': 6.8850370168685915}]
max_input_tokens: 1024
max_output_tokens: 128
model_architecture: MistralForCausalLM
model_group: zonemercy/Lexical-Nemo-v
model_name: 0906stv1-3
model_num_parameters: 12772070400.0
model_repo: zonemercy/Lexical-Nemo-v4-1k1e5
model_size: 13B
num_battles: 9357
num_wins: 4883
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 0.91
timestamp: 2024-09-06T11:37:05+00:00
us_pacific_date: 2024-09-06
win_ratio: 0.5218552955006946
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run pipeline %s
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Running pipeline stage MKMLizer
Starting job with name zonemercy-lexical-nemo-1518-v23-mkmlizer
Waiting for job on zonemercy-lexical-nemo-1518-v23-mkmlizer to finish
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zonemercy-lexical-nemo-1518-v23-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zonemercy-lexical-nemo-1518-v23-mkmlizer: ║ _____ __ __ ║
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zonemercy-lexical-nemo-1518-v23-mkmlizer: ║ /___/ ║
zonemercy-lexical-nemo-1518-v23-mkmlizer: ║ ║
zonemercy-lexical-nemo-1518-v23-mkmlizer: ║ Version: 0.10.1 ║
zonemercy-lexical-nemo-1518-v23-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
zonemercy-lexical-nemo-1518-v23-mkmlizer: ║ https://mk1.ai ║
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zonemercy-lexical-nemo-1518-v23-mkmlizer: ║ ║
zonemercy-lexical-nemo-1518-v23-mkmlizer: ║ Chai Research Corp. ║
zonemercy-lexical-nemo-1518-v23-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zonemercy-lexical-nemo-1518-v23-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
zonemercy-lexical-nemo-1518-v23-mkmlizer: ║ ║
zonemercy-lexical-nemo-1518-v23-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zonemercy-lexical-nemo-1518-v23-mkmlizer: Downloaded to shared memory in 97.206s
zonemercy-lexical-nemo-1518-v23-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpcyn61uck, device:0
zonemercy-lexical-nemo-1518-v23-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zonemercy-lexical-nemo-1518-v23-mkmlizer: quantized model in 41.316s
zonemercy-lexical-nemo-1518-v23-mkmlizer: Processed model zonemercy/Lexical-Nemo-v4-1k1e5 in 138.522s
zonemercy-lexical-nemo-1518-v23-mkmlizer: creating bucket guanaco-mkml-models
zonemercy-lexical-nemo-1518-v23-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zonemercy-lexical-nemo-1518-v23-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zonemercy-lexical-nemo-1518-v23
zonemercy-lexical-nemo-1518-v23-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zonemercy-lexical-nemo-1518-v23/config.json
zonemercy-lexical-nemo-1518-v23-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zonemercy-lexical-nemo-1518-v23/tokenizer.json
zonemercy-lexical-nemo-1518-v23-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zonemercy-lexical-nemo-1518-v23/flywheel_model.0.safetensors
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Job zonemercy-lexical-nemo-1518-v23-mkmlizer completed after 157.07s with status: succeeded
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/zonemercy-lexical-ne1ef98f4fcf64187a0d730e13be4d001b-deplo85dqf:/code/chaiverse_profiler_1725623148 --namespace tenant-chaiml-guanaco
kubectl exec -it zonemercy-lexical-ne1ef98f4fcf64187a0d730e13be4d001b-deplo85dqf --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725623148 && 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_1725623148/summary.json'
kubectl exec -it zonemercy-lexical-ne1ef98f4fcf64187a0d730e13be4d001b-deplo85dqf --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725623148/summary.json'
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