submission_id: cgato-blipblop-l3-8b-v0-1-1_v3
developer_uid: c.gato
best_of: 16
celo_rating: 1191.54
display_name: cgato-blipblop-l3-8b-v0-1-1_v3
family_friendly_score: 0.0
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': True}
generation_params: {'temperature': 0.9, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 200, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', 'You:'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
is_internal_developer: False
language_model: cgato/BlipBlop-L3-8b-v0.1.1
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_eval_status: success
model_group: cgato/BlipBlop-L3-8b-v0.
model_name: cgato-blipblop-l3-8b-v0-1-1_v3
model_num_parameters: 8030261248.0
model_repo: cgato/BlipBlop-L3-8b-v0.1.1
model_size: 8B
num_battles: 7803
num_wins: 4027
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': True, 'user_template': '{user_name}: {message}\n'}
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
status: torndown
submission_type: basic
timestamp: 2024-06-10T02:23:55+00:00
us_pacific_date: 2024-06-09
win_ratio: 0.516083557606049
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer
Waiting for job on cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer to finish
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: ║ _____ __ __ ║
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cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: ║ /___/ ║
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: ║ ║
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: ║ Version: 0.8.14 ║
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: ║ https://mk1.ai ║
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: ║ ║
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cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: ║ Chai Research Corp. ║
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
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cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_deprecation.py:131: FutureWarning: 'list_files_info' (from 'huggingface_hub.hf_api') is deprecated and will be removed from version '0.23'. Use `list_repo_tree` and `get_paths_info` instead.
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: warnings.warn(warning_message, FutureWarning)
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: Downloaded to shared memory in 20.649s
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 5%|▍ | 14/291 [00:00<00:02, 123.60it/s] Loading 0: 11%|█ | 31/291 [00:00<00:01, 142.05it/s] Loading 0: 16%|█▋ | 48/291 [00:00<00:01, 149.79it/s] Loading 0: 22%|██▏ | 64/291 [00:00<00:01, 148.49it/s] Loading 0: 27%|██▋ | 79/291 [00:00<00:01, 143.17it/s] Loading 0: 32%|███▏ | 94/291 [00:00<00:02, 70.96it/s] Loading 0: 38%|███▊ | 111/291 [00:01<00:02, 88.69it/s] Loading 0: 43%|████▎ | 124/291 [00:01<00:01, 96.90it/s] Loading 0: 48%|████▊ | 140/291 [00:01<00:01, 107.59it/s] Loading 0: 54%|█████▍ | 157/291 [00:01<00:01, 122.40it/s] Loading 0: 60%|█████▉ | 174/291 [00:01<00:00, 134.27it/s] Loading 0: 65%|██████▌ | 190/291 [00:01<00:01, 81.23it/s] Loading 0: 70%|██████▉ | 203/291 [00:01<00:00, 89.08it/s] Loading 0: 76%|███████▌ | 221/291 [00:02<00:00, 104.36it/s] Loading 0: 82%|████████▏ | 238/291 [00:02<00:00, 118.70it/s] Loading 0: 88%|████████▊ | 255/291 [00:02<00:00, 130.82it/s] Loading 0: 93%|█████████▎| 271/291 [00:02<00:00, 137.81it/s] Loading 0: 99%|█████████▊| 287/291 [00:08<00:00, 9.16it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: quantized model in 24.039s
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: Processed model cgato/BlipBlop-L3-8b-v0.1.1 in 47.426s
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: creating bucket guanaco-mkml-models
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-blipblop-l3-8b-v0-1-1-v3
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-blipblop-l3-8b-v0-1-1-v3/special_tokens_map.json
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-blipblop-l3-8b-v0-1-1-v3/tokenizer_config.json
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-blipblop-l3-8b-v0-1-1-v3/config.json
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-blipblop-l3-8b-v0-1-1-v3/tokenizer.json
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-blipblop-l3-8b-v0-1-1-v3/flywheel_model.0.safetensors
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:913: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: warnings.warn(
cgato-blipblop-l3-8b-v0-1-1-v3-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.
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: warnings.warn(
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: /opt/conda/lib/python3.10/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: return self.fget.__get__(instance, owner)()
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: Saving duration: 0.425s
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.797s
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: creating bucket guanaco-reward-models
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-blipblop-l3-8b-v0-1-1-v3_reward
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-blipblop-l3-8b-v0-1-1-v3_reward/config.json
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-blipblop-l3-8b-v0-1-1-v3_reward/special_tokens_map.json
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-blipblop-l3-8b-v0-1-1-v3_reward/merges.txt
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-blipblop-l3-8b-v0-1-1-v3_reward/tokenizer_config.json
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-blipblop-l3-8b-v0-1-1-v3_reward/vocab.json
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-blipblop-l3-8b-v0-1-1-v3_reward/tokenizer.json
cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-blipblop-l3-8b-v0-1-1-v3_reward/reward.tensors
Job cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer completed after 72.81s with status: succeeded
Stopping job with name cgato-blipblop-l3-8b-v0-1-1-v3-mkmlizer
Pipeline stage MKMLizer completed in 77.02s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service cgato-blipblop-l3-8b-v0-1-1-v3
Waiting for inference service cgato-blipblop-l3-8b-v0-1-1-v3 to be ready
Failed to get response for submission blend_kefet_2024-05-01: ('http://mistralai-mixtral-8x7b-3473-v33-predictor-default.tenant-chaiml-guanaco.knative.ord1.coreweave.cloud/v1/models/GPT-J-6B-lit-v2:predict', 'upstream connect error or disconnect/reset before headers. reset reason: overflow')
Tearing down inference service cgato-blipblop-l3-8b-v0-1-1-v3
%s, retrying in %s seconds...
Creating inference service cgato-blipblop-l3-8b-v0-1-1-v3
Waiting for inference service cgato-blipblop-l3-8b-v0-1-1-v3 to be ready
Inference service cgato-blipblop-l3-8b-v0-1-1-v3 ready after 331.90639758110046s
Pipeline stage ISVCDeployer completed in 949.43s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4705147743225098s
Received healthy response to inference request in 1.355452060699463s
Received healthy response to inference request in 1.3395566940307617s
Received healthy response to inference request in 1.3243350982666016s
Received healthy response to inference request in 1.3352501392364502s
5 requests
0 failed requests
5th percentile: 1.3265181064605713
10th percentile: 1.328701114654541
20th percentile: 1.3330671310424804
30th percentile: 1.3361114501953124
40th percentile: 1.337834072113037
50th percentile: 1.3395566940307617
60th percentile: 1.3459148406982422
70th percentile: 1.3522729873657227
80th percentile: 1.5784646034240724
90th percentile: 2.0244896888732913
95th percentile: 2.2475022315979003
99th percentile: 2.425912265777588
mean time: 1.5650217533111572
Pipeline stage StressChecker completed in 8.41s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.04s
M-Eval Dataset for topic stay_in_character is loaded
cgato-blipblop-l3-8b-v0-1-1_v3 status is now deployed due to DeploymentManager action
cgato-blipblop-l3-8b-v0-1-1_v3 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cgato-blipblop-l3-8b-v0-1-1_v3
Running pipeline stage ISVCDeleter
Checking if service cgato-blipblop-l3-8b-v0-1-1-v3 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 2.17s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cgato-blipblop-l3-8b-v0-1-1-v3/config.json from bucket guanaco-mkml-models
Deleting key cgato-blipblop-l3-8b-v0-1-1-v3/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cgato-blipblop-l3-8b-v0-1-1-v3/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cgato-blipblop-l3-8b-v0-1-1-v3/tokenizer.json from bucket guanaco-mkml-models
Deleting key cgato-blipblop-l3-8b-v0-1-1-v3/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cgato-blipblop-l3-8b-v0-1-1-v3_reward/config.json from bucket guanaco-reward-models
Deleting key cgato-blipblop-l3-8b-v0-1-1-v3_reward/merges.txt from bucket guanaco-reward-models
Deleting key cgato-blipblop-l3-8b-v0-1-1-v3_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cgato-blipblop-l3-8b-v0-1-1-v3_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cgato-blipblop-l3-8b-v0-1-1-v3_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cgato-blipblop-l3-8b-v0-1-1-v3_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cgato-blipblop-l3-8b-v0-1-1-v3_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 3.83s
cgato-blipblop-l3-8b-v0-1-1_v3 status is now torndown due to DeploymentManager action