developer_uid: zonemercy
submission_id: zonemercy-eloquent-user-_3300_v2
model_name: zonemercy-eloquent-user-_3300_v2
model_group: zonemercy/Eloquent-User-
status: torndown
timestamp: 2024-07-29T19:45:39+00:00
num_battles: 12797
num_wins: 5557
celo_rating: 1133.38
family_friendly_score: 0.0
submission_type: basic
model_repo: zonemercy/Eloquent-User-l3-ep2
model_architecture: LlamaForCausalLM
reward_repo: ChaiML/gpt2_xl_pairwise_89m_step_347634
model_num_parameters: 8030261248.0
best_of: 1
max_input_tokens: 512
max_output_tokens: 64
display_name: zonemercy-eloquent-user-_3300_v2
is_internal_developer: True
language_model: zonemercy/Eloquent-User-l3-ep2
model_size: 8B
ranking_group: single
us_pacific_date: 2024-07-29
win_ratio: 0.43424240056263186
generation_params: {'temperature': 0.95, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|eot_id|>'], 'max_input_tokens': 512, 'best_of': 1, 'max_output_tokens': 64, 'reward_max_token_input': 256}
formatter: {'memory_template': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{bot_name}:', 'truncate_by_message': False}
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'}
Resubmit model
Running pipeline stage MKMLizer
Starting job with name zonemercy-eloquent-user-3300-v2-mkmlizer
Waiting for job on zonemercy-eloquent-user-3300-v2-mkmlizer to finish
zonemercy-eloquent-user-3300-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zonemercy-eloquent-user-3300-v2-mkmlizer: ║ _____ __ __ ║
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zonemercy-eloquent-user-3300-v2-mkmlizer: ║ ║
zonemercy-eloquent-user-3300-v2-mkmlizer: ║ Version: 0.9.7 ║
zonemercy-eloquent-user-3300-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
zonemercy-eloquent-user-3300-v2-mkmlizer: ║ https://mk1.ai ║
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zonemercy-eloquent-user-3300-v2-mkmlizer: ║ The license key for the current software has been verified as ║
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zonemercy-eloquent-user-3300-v2-mkmlizer: ║ Chai Research Corp. ║
zonemercy-eloquent-user-3300-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zonemercy-eloquent-user-3300-v2-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
zonemercy-eloquent-user-3300-v2-mkmlizer: ║ ║
zonemercy-eloquent-user-3300-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zonemercy-eloquent-user-3300-v2-mkmlizer: Downloaded to shared memory in 41.679s
zonemercy-eloquent-user-3300-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpu_a_e8lw, device:0
zonemercy-eloquent-user-3300-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zonemercy-eloquent-user-3300-v2-mkmlizer: quantized model in 29.935s
zonemercy-eloquent-user-3300-v2-mkmlizer: Processed model zonemercy/Eloquent-User-l3-ep2 in 71.615s
zonemercy-eloquent-user-3300-v2-mkmlizer: creating bucket guanaco-mkml-models
zonemercy-eloquent-user-3300-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zonemercy-eloquent-user-3300-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zonemercy-eloquent-user-3300-v2
zonemercy-eloquent-user-3300-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zonemercy-eloquent-user-3300-v2/config.json
zonemercy-eloquent-user-3300-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zonemercy-eloquent-user-3300-v2/special_tokens_map.json
zonemercy-eloquent-user-3300-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zonemercy-eloquent-user-3300-v2/tokenizer_config.json
zonemercy-eloquent-user-3300-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zonemercy-eloquent-user-3300-v2/tokenizer.json
zonemercy-eloquent-user-3300-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zonemercy-eloquent-user-3300-v2/flywheel_model.0.safetensors
zonemercy-eloquent-user-3300-v2-mkmlizer: loading reward model from ChaiML/gpt2_xl_pairwise_89m_step_347634
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zonemercy-eloquent-user-3300-v2-mkmlizer: warnings.warn(
zonemercy-eloquent-user-3300-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:785: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
zonemercy-eloquent-user-3300-v2-mkmlizer: warnings.warn(
zonemercy-eloquent-user-3300-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:469: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
zonemercy-eloquent-user-3300-v2-mkmlizer: warnings.warn(
zonemercy-eloquent-user-3300-v2-mkmlizer: Downloading shards: 0%| | 0/2 [00:00<?, ?it/s] Downloading shards: 50%|█████ | 1/2 [00:05<00:05, 5.96s/it] Downloading shards: 100%|██████████| 2/2 [00:08<00:00, 4.11s/it] Downloading shards: 100%|██████████| 2/2 [00:08<00:00, 4.39s/it]
zonemercy-eloquent-user-3300-v2-mkmlizer: Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s] Loading checkpoint shards: 50%|█████ | 1/2 [00:00<00:00, 2.31it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.82it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.48it/s]
zonemercy-eloquent-user-3300-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
zonemercy-eloquent-user-3300-v2-mkmlizer: Saving duration: 1.323s
zonemercy-eloquent-user-3300-v2-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 14.847s
zonemercy-eloquent-user-3300-v2-mkmlizer: creating bucket guanaco-reward-models
zonemercy-eloquent-user-3300-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/zonemercy-eloquent-user-3300-v2_reward/merges.txt
zonemercy-eloquent-user-3300-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/zonemercy-eloquent-user-3300-v2_reward/vocab.json
zonemercy-eloquent-user-3300-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/zonemercy-eloquent-user-3300-v2_reward/tokenizer.json
zonemercy-eloquent-user-3300-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/zonemercy-eloquent-user-3300-v2_reward/reward.tensors
Job zonemercy-eloquent-user-3300-v2-mkmlizer completed after 116.4s with status: succeeded
Stopping job with name zonemercy-eloquent-user-3300-v2-mkmlizer
Pipeline stage MKMLizer completed in 117.66s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.14s
Running pipeline stage ISVCDeployer
Creating inference service zonemercy-eloquent-user-3300-v2
Waiting for inference service zonemercy-eloquent-user-3300-v2 to be ready
Inference service zonemercy-eloquent-user-3300-v2 ready after 100.92161226272583s
Pipeline stage ISVCDeployer completed in 102.90s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.7547693252563477s
Received healthy response to inference request in 0.49183130264282227s
Received healthy response to inference request in 1.0523936748504639s
Received healthy response to inference request in 1.0589468479156494s
Received healthy response to inference request in 0.7667679786682129s
5 requests
0 failed requests
5th percentile: 0.5468186378479004
10th percentile: 0.6018059730529786
20th percentile: 0.7117806434631347
30th percentile: 0.8238931179046631
40th percentile: 0.9381433963775635
50th percentile: 1.0523936748504639
60th percentile: 1.0550149440765382
70th percentile: 1.0576362133026123
80th percentile: 1.198111343383789
90th percentile: 1.4764403343200685
95th percentile: 1.615604829788208
99th percentile: 1.7269364261627198
mean time: 1.0249418258666991
Pipeline stage StressChecker completed in 5.96s
zonemercy-eloquent-user-_3300_v2 status is now deployed due to DeploymentManager action
zonemercy-eloquent-user-_3300_v2 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of zonemercy-eloquent-user-_3300_v2
Running pipeline stage ISVCDeleter
Checking if service zonemercy-eloquent-user-3300-v2 is running
Tearing down inference service zonemercy-eloquent-user-3300-v2
Service zonemercy-eloquent-user-3300-v2 has been torndown
Pipeline stage ISVCDeleter completed in 4.44s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key zonemercy-eloquent-user-3300-v2/config.json from bucket guanaco-mkml-models
Deleting key zonemercy-eloquent-user-3300-v2/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key zonemercy-eloquent-user-3300-v2/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key zonemercy-eloquent-user-3300-v2/tokenizer.json from bucket guanaco-mkml-models
Deleting key zonemercy-eloquent-user-3300-v2/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key zonemercy-eloquent-user-3300-v2_reward/config.json from bucket guanaco-reward-models
Deleting key zonemercy-eloquent-user-3300-v2_reward/merges.txt from bucket guanaco-reward-models
Deleting key zonemercy-eloquent-user-3300-v2_reward/reward.tensors from bucket guanaco-reward-models
Deleting key zonemercy-eloquent-user-3300-v2_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key zonemercy-eloquent-user-3300-v2_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key zonemercy-eloquent-user-3300-v2_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key zonemercy-eloquent-user-3300-v2_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 5.39s
zonemercy-eloquent-user-_3300_v2 status is now torndown due to DeploymentManager action