nousresearch-hermes-2-pr_1418

submission_id: nousresearch-hermes-2-pr_1418_v6

developer_uid: immaculate_possum_03470

best_of: 4

celo_rating: 1171.28

display_name: red_mistral

family_friendly_score: 0.6240902474526928

family_friendly_standard_error: 0.00922702004778595

formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\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}

generation_params: {'temperature': 0.99, 'top_p': 0.2, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.5, 'frequency_penalty': 0.5, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 4, 'max_output_tokens': 64}

gpu_counts: {'NVIDIA RTX A5000': 1}

ineligible_reason: num_battles<5000

is_internal_developer: False

language_model: NousResearch/Hermes-2-Pro-Mistral-7B

latencies: [{'batch_size': 1, 'throughput': 0.9496389777426338, 'latency_mean': 1.0529608476161956, 'latency_p50': 1.055152177810669, 'latency_p90': 1.1612992525100707}, {'batch_size': 5, 'throughput': 2.4650071273594647, 'latency_mean': 2.0203439033031465, 'latency_p50': 2.023949146270752, 'latency_p90': 2.30756676197052}, {'batch_size': 10, 'throughput': 3.073101766254452, 'latency_mean': 3.2268009614944457, 'latency_p50': 3.2340402603149414, 'latency_p90': 3.5934436321258545}, {'batch_size': 15, 'throughput': 3.245011851229528, 'latency_mean': 4.576126334667205, 'latency_p50': 4.5395485162734985, 'latency_p90': 5.151118659973145}, {'batch_size': 20, 'throughput': 3.2403771607529968, 'latency_mean': 6.042606542110443, 'latency_p50': 6.055160880088806, 'latency_p90': 6.708936429023742}]

max_input_tokens: 1024

max_output_tokens: 64

model_architecture: MistralForCausalLM

model_group: NousResearch/Hermes-2-Pr

model_name: red_mistral

model_num_parameters: 7241994240.0

model_repo: NousResearch/Hermes-2-Pro-Mistral-7B

model_size: 7B

num_battles: 2829

num_wins: 1120

ranking_group: single

status: torndown

submission_type: basic

throughput_3p7s: 3.18

timestamp: 2024-09-26T17:27:56+00:00

us_pacific_date: 2024-09-26

win_ratio: 0.39589961117002476

Resubmit model

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Running pipeline stage MKMLizer
Starting job with name nousresearch-hermes-2-pr-1418-v6-mkmlizer
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nousresearch-hermes-2-pr-1418-v6-mkmlizer: ║       /___/                                                         ║
nousresearch-hermes-2-pr-1418-v6-mkmlizer: ║                                                                     ║
nousresearch-hermes-2-pr-1418-v6-mkmlizer: ║  Version: 0.11.12                                                   ║
nousresearch-hermes-2-pr-1418-v6-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
nousresearch-hermes-2-pr-1418-v6-mkmlizer: ║  https://mk1.ai                                                     ║
nousresearch-hermes-2-pr-1418-v6-mkmlizer: ║                                                                     ║
nousresearch-hermes-2-pr-1418-v6-mkmlizer: ║  The license key for the current software has been verified as      ║
nousresearch-hermes-2-pr-1418-v6-mkmlizer: ║  belonging to:                                                      ║
nousresearch-hermes-2-pr-1418-v6-mkmlizer: ║                                                                     ║
nousresearch-hermes-2-pr-1418-v6-mkmlizer: ║  Chai Research Corp.                                                ║
nousresearch-hermes-2-pr-1418-v6-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
nousresearch-hermes-2-pr-1418-v6-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
nousresearch-hermes-2-pr-1418-v6-mkmlizer: ║                                                                     ║
nousresearch-hermes-2-pr-1418-v6-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
nousresearch-hermes-2-pr-1418-v6-mkmlizer: Downloaded to shared memory in 19.964s
nousresearch-hermes-2-pr-1418-v6-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpu_mjn6zv, device:0
nousresearch-hermes-2-pr-1418-v6-mkmlizer: Saving flywheel model at /dev/shm/model_cache
nousresearch-hermes-2-pr-1418-v6-mkmlizer: quantized model in 17.796s
nousresearch-hermes-2-pr-1418-v6-mkmlizer: Processed model NousResearch/Hermes-2-Pro-Mistral-7B in 37.760s
nousresearch-hermes-2-pr-1418-v6-mkmlizer: creating bucket guanaco-mkml-models
nousresearch-hermes-2-pr-1418-v6-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
nousresearch-hermes-2-pr-1418-v6-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/nousresearch-hermes-2-pr-1418-v6
nousresearch-hermes-2-pr-1418-v6-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/nousresearch-hermes-2-pr-1418-v6/config.json
nousresearch-hermes-2-pr-1418-v6-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/nousresearch-hermes-2-pr-1418-v6/special_tokens_map.json
nousresearch-hermes-2-pr-1418-v6-mkmlizer: cp /dev/shm/model_cache/added_tokens.json s3://guanaco-mkml-models/nousresearch-hermes-2-pr-1418-v6/added_tokens.json
nousresearch-hermes-2-pr-1418-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/nousresearch-hermes-2-pr-1418-v6/tokenizer_config.json
nousresearch-hermes-2-pr-1418-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/nousresearch-hermes-2-pr-1418-v6/tokenizer.model
nousresearch-hermes-2-pr-1418-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/nousresearch-hermes-2-pr-1418-v6/tokenizer.json
nousresearch-hermes-2-pr-1418-v6-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/nousresearch-hermes-2-pr-1418-v6/flywheel_model.0.safetensors
Job nousresearch-hermes-2-pr-1418-v6-mkmlizer completed after 62.53s with status: succeeded
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Inference service nousresearch-hermes-2-pr-1418-v6 ready after 220.4873206615448s
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Received healthy response to inference request in 1.7640471458435059s
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5th percentile: 0.6764532566070557
10th percentile: 0.7449651241302491
20th percentile: 0.8819888591766357
30th percentile: 0.9769306659698487
40th percentile: 1.0297905445098876
50th percentile: 1.0826504230499268
60th percentile: 1.2183634281158446
70th percentile: 1.3540764331817625
80th percentile: 1.4903557777404786
90th percentile: 1.627201461791992
95th percentile: 1.695624303817749
99th percentile: 1.7503625774383544
mean time: 1.165414524078369
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/nousresearch-hermes-3320e97553d0c85cb2e087061f1818db-deplozwrl9:/code/chaiverse_profiler_1727372241 --namespace tenant-chaiml-guanaco
kubectl exec -it nousresearch-hermes-3320e97553d0c85cb2e087061f1818db-deplozwrl9 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1727372241 && 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_1727372241/summary.json'
kubectl exec -it nousresearch-hermes-3320e97553d0c85cb2e087061f1818db-deplozwrl9 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1727372241/summary.json'
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