jellywibble-lora-120k-pr_4099

submission_id: jellywibble-lora-120k-pr_4099_v1

developer_uid: Jellywibble

best_of: 16

celo_rating: 1260.65

display_name: nitral-ai-hathor-l3-8b-v-01_v1

family_friendly_score: 0.0

formatter: {'memory_template': "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n{bot_name}'s Persona: {memory}\n\n", 'prompt_template': '{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}: {message}<|eot_id|>', 'user_template': '<|start_header_id|>user<|end_header_id|>\n\n{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}:', 'truncate_by_message': False}

generation_params: {'temperature': 0.95, 'top_p': 1.0, 'min_p': 0.08, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|eot_id|>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}

is_internal_developer: True

language_model: Jellywibble/lora_120k_pref_data_ep2_stacked_elo_alignment

max_input_tokens: 512

max_output_tokens: 64

model_architecture: LlamaForCausalLM

model_group: Jellywibble/lora_120k_pr

model_name: nitral-ai-hathor-l3-8b-v-01_v1

model_num_parameters: 8030261248.0

model_repo: Jellywibble/lora_120k_pref_data_ep2_stacked_elo_alignment

model_size: 8B

num_battles: 31526

num_wins: 18743

ranking_group: single

reward_formatter: {'bot_template': '{bot_name}: {message}\n', 'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '{user_name}: {message}\n'}

reward_repo: ChaiML/gpt2_xl_pairwise_89m_step_347634

status: torndown

submission_type: basic

timestamp: 2024-07-08T03:42:55+00:00

us_pacific_date: 2024-07-07

win_ratio: 0.5945251538412739

Resubmit model

Running pipeline stage MKMLizer
Starting job with name jellywibble-lora-120k-pr-4099-v1-mkmlizer
Waiting for job on jellywibble-lora-120k-pr-4099-v1-mkmlizer to finish
jellywibble-lora-120k-pr-4099-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jellywibble-lora-120k-pr-4099-v1-mkmlizer: ║     _____            __           __                                ║
jellywibble-lora-120k-pr-4099-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
jellywibble-lora-120k-pr-4099-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
jellywibble-lora-120k-pr-4099-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
jellywibble-lora-120k-pr-4099-v1-mkmlizer: ║       /___/                                                         ║
jellywibble-lora-120k-pr-4099-v1-mkmlizer: ║                                                                     ║
jellywibble-lora-120k-pr-4099-v1-mkmlizer: ║  Version: 0.8.14                                                    ║
jellywibble-lora-120k-pr-4099-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
jellywibble-lora-120k-pr-4099-v1-mkmlizer: ║  https://mk1.ai                                                     ║
jellywibble-lora-120k-pr-4099-v1-mkmlizer: ║                                                                     ║
jellywibble-lora-120k-pr-4099-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
jellywibble-lora-120k-pr-4099-v1-mkmlizer: ║  belonging to:                                                      ║
jellywibble-lora-120k-pr-4099-v1-mkmlizer: ║                                                                     ║
jellywibble-lora-120k-pr-4099-v1-mkmlizer: ║  Chai Research Corp.                                                ║
jellywibble-lora-120k-pr-4099-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
jellywibble-lora-120k-pr-4099-v1-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
jellywibble-lora-120k-pr-4099-v1-mkmlizer: ║                                                                     ║
jellywibble-lora-120k-pr-4099-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Failed to get response for submission cycy233-l3-bcm-v0-c1_v2: ('http://cycy233-l3-bcm-v0-c1-v2-predictor-default.tenant-chaiml-guanaco.knative.ord1.coreweave.cloud/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:48578->127.0.0.1:8080: read: connection reset by peer\n')
jellywibble-lora-120k-pr-4099-v1-mkmlizer: Downloaded to shared memory in 59.596s
jellywibble-lora-120k-pr-4099-v1-mkmlizer: quantizing model to /dev/shm/model_cache
jellywibble-lora-120k-pr-4099-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jellywibble-lora-120k-pr-4099-v1-mkmlizer: 
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Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
jellywibble-lora-120k-pr-4099-v1-mkmlizer: quantized model in 31.986s
jellywibble-lora-120k-pr-4099-v1-mkmlizer: Processed model Jellywibble/lora_120k_pref_data_ep2_stacked_elo_alignment in 91.582s
jellywibble-lora-120k-pr-4099-v1-mkmlizer: creating bucket guanaco-mkml-models
jellywibble-lora-120k-pr-4099-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jellywibble-lora-120k-pr-4099-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jellywibble-lora-120k-pr-4099-v1
jellywibble-lora-120k-pr-4099-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jellywibble-lora-120k-pr-4099-v1/tokenizer.json
jellywibble-lora-120k-pr-4099-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jellywibble-lora-120k-pr-4099-v1/special_tokens_map.json
jellywibble-lora-120k-pr-4099-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jellywibble-lora-120k-pr-4099-v1/config.json
jellywibble-lora-120k-pr-4099-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jellywibble-lora-120k-pr-4099-v1/tokenizer_config.json
jellywibble-lora-120k-pr-4099-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jellywibble-lora-120k-pr-4099-v1/flywheel_model.0.safetensors
jellywibble-lora-120k-pr-4099-v1-mkmlizer: loading reward model from ChaiML/gpt2_xl_pairwise_89m_step_347634
jellywibble-lora-120k-pr-4099-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:919: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
jellywibble-lora-120k-pr-4099-v1-mkmlizer:   warnings.warn(
jellywibble-lora-120k-pr-4099-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
jellywibble-lora-120k-pr-4099-v1-mkmlizer:   warnings.warn(
jellywibble-lora-120k-pr-4099-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:769: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
jellywibble-lora-120k-pr-4099-v1-mkmlizer:   warnings.warn(
jellywibble-lora-120k-pr-4099-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:468: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
jellywibble-lora-120k-pr-4099-v1-mkmlizer:   warnings.warn(
jellywibble-lora-120k-pr-4099-v1-mkmlizer: 
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jellywibble-lora-120k-pr-4099-v1-mkmlizer: 
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jellywibble-lora-120k-pr-4099-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
jellywibble-lora-120k-pr-4099-v1-mkmlizer: Saving duration: 2.140s
jellywibble-lora-120k-pr-4099-v1-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 13.860s
jellywibble-lora-120k-pr-4099-v1-mkmlizer: creating bucket guanaco-reward-models
jellywibble-lora-120k-pr-4099-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
jellywibble-lora-120k-pr-4099-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/jellywibble-lora-120k-pr-4099-v1_reward
jellywibble-lora-120k-pr-4099-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/jellywibble-lora-120k-pr-4099-v1_reward/special_tokens_map.json
jellywibble-lora-120k-pr-4099-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/jellywibble-lora-120k-pr-4099-v1_reward/config.json
jellywibble-lora-120k-pr-4099-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/jellywibble-lora-120k-pr-4099-v1_reward/merges.txt
jellywibble-lora-120k-pr-4099-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/jellywibble-lora-120k-pr-4099-v1_reward/tokenizer_config.json
jellywibble-lora-120k-pr-4099-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/jellywibble-lora-120k-pr-4099-v1_reward/vocab.json
jellywibble-lora-120k-pr-4099-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/jellywibble-lora-120k-pr-4099-v1_reward/tokenizer.json
jellywibble-lora-120k-pr-4099-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/jellywibble-lora-120k-pr-4099-v1_reward/reward.tensors
Job jellywibble-lora-120k-pr-4099-v1-mkmlizer completed after 138.15s with status: succeeded
Stopping job with name jellywibble-lora-120k-pr-4099-v1-mkmlizer
Pipeline stage MKMLizer completed in 139.00s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service jellywibble-lora-120k-pr-4099-v1
Waiting for inference service jellywibble-lora-120k-pr-4099-v1 to be ready
Inference service jellywibble-lora-120k-pr-4099-v1 ready after 40.19476270675659s
Pipeline stage ISVCDeployer completed in 49.35s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.164341926574707s
Received healthy response to inference request in 1.5673465728759766s
Received healthy response to inference request in 1.5395519733428955s
Received healthy response to inference request in 1.5000486373901367s
Received healthy response to inference request in 1.5490131378173828s
5 requests
0 failed requests
5th percentile: 1.5079493045806884
10th percentile: 1.5158499717712401
20th percentile: 1.5316513061523438
30th percentile: 1.5414442062377929
40th percentile: 1.5452286720275878
50th percentile: 1.5490131378173828
60th percentile: 1.5563465118408204
70th percentile: 1.5636798858642578
80th percentile: 1.6867456436157227
90th percentile: 1.9255437850952148
95th percentile: 2.044942855834961
99th percentile: 2.140462112426758
mean time: 1.6640604496002198
Pipeline stage StressChecker completed in 9.00s
jellywibble-lora-120k-pr_4099_v1 status is now deployed due to DeploymentManager action
jellywibble-lora-120k-pr_4099_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of jellywibble-lora-120k-pr_4099_v1
Running pipeline stage ISVCDeleter
Checking if service jellywibble-lora-120k-pr-4099-v1 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 4.88s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key jellywibble-lora-120k-pr-4099-v1/config.json from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-pr-4099-v1/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-pr-4099-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-pr-4099-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-pr-4099-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key jellywibble-lora-120k-pr-4099-v1_reward/config.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-pr-4099-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-pr-4099-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-pr-4099-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-pr-4099-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-pr-4099-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-pr-4099-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 5.77s
jellywibble-lora-120k-pr_4099_v1 status is now torndown due to DeploymentManager action