submission_id: undi95-meta-llama-3-70b_6209_v23
developer_uid: Rose8860
best_of: 2
celo_rating: 1172.98
display_name: undi95-meta-llama-3-hollow
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': False}
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 50, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|im_end|>', '<|im_start|>', '\n\n'], 'max_input_tokens': 512, 'best_of': 2, 'max_output_tokens': 64}
is_internal_developer: False
language_model: Undi95/Meta-Llama-3-70B-Instruct-hf
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: Undi95/Meta-Llama-3-70B-
model_name: undi95-meta-llama-3-hollow
model_num_parameters: 70553706496.0
model_repo: Undi95/Meta-Llama-3-70B-Instruct-hf
model_size: 71B
num_battles: 18898
num_wins: 9034
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: 2024-07-23T11:28:19+00:00
us_pacific_date: 2024-07-23
win_ratio: 0.4780400042332522
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Resubmit model
Running pipeline stage MKMLizer
Starting job with name undi95-meta-llama-3-70b-6209-v23-mkmlizer
Waiting for job on undi95-meta-llama-3-70b-6209-v23-mkmlizer to finish
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undi95-meta-llama-3-70b-6209-v23-mkmlizer: ║ ║
undi95-meta-llama-3-70b-6209-v23-mkmlizer: ║ Version: 0.9.5.post3 ║
undi95-meta-llama-3-70b-6209-v23-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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Failed to get response for submission undi95-meta-llama-3-70b_6209_v18: ('http://undi95-meta-llama-3-70b-6209-v18-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '{"error":"TypeError : SamplingParameters.__init__() got an unexpected keyword argument \'reward_max_tokens\'"}')
Failed to get response for submission undi95-meta-llama-3-70b_6209_v18: ('http://undi95-meta-llama-3-70b-6209-v18-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '{"error":"TypeError : SamplingParameters.__init__() got an unexpected keyword argument \'reward_max_tokens\'"}')
Failed to get response for submission undi95-meta-llama-3-70b_6209_v18: ('http://undi95-meta-llama-3-70b-6209-v18-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '{"error":"TypeError : SamplingParameters.__init__() got an unexpected keyword argument \'reward_max_tokens\'"}')
undi95-meta-llama-3-70b-6209-v23-mkmlizer: Downloaded to shared memory in 290.487s
undi95-meta-llama-3-70b-6209-v23-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpx297dyk7, device:0
undi95-meta-llama-3-70b-6209-v23-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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undi95-meta-llama-3-70b-6209-v23-mkmlizer: quantized model in 152.792s
undi95-meta-llama-3-70b-6209-v23-mkmlizer: Processed model Undi95/Meta-Llama-3-70B-Instruct-hf in 443.280s
undi95-meta-llama-3-70b-6209-v23-mkmlizer: creating bucket guanaco-mkml-models
undi95-meta-llama-3-70b-6209-v23-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
undi95-meta-llama-3-70b-6209-v23-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/undi95-meta-llama-3-70b-6209-v23
undi95-meta-llama-3-70b-6209-v23-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/undi95-meta-llama-3-70b-6209-v23/config.json
undi95-meta-llama-3-70b-6209-v23-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/undi95-meta-llama-3-70b-6209-v23/special_tokens_map.json
undi95-meta-llama-3-70b-6209-v23-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/undi95-meta-llama-3-70b-6209-v23/tokenizer_config.json
undi95-meta-llama-3-70b-6209-v23-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/undi95-meta-llama-3-70b-6209-v23/tokenizer.json
undi95-meta-llama-3-70b-6209-v23-mkmlizer: cp /dev/shm/model_cache/flywheel_model.5.safetensors s3://guanaco-mkml-models/undi95-meta-llama-3-70b-6209-v23/flywheel_model.5.safetensors
undi95-meta-llama-3-70b-6209-v23-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/undi95-meta-llama-3-70b-6209-v23/flywheel_model.0.safetensors
undi95-meta-llama-3-70b-6209-v23-mkmlizer: cp /dev/shm/model_cache/flywheel_model.4.safetensors s3://guanaco-mkml-models/undi95-meta-llama-3-70b-6209-v23/flywheel_model.4.safetensors
undi95-meta-llama-3-70b-6209-v23-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/undi95-meta-llama-3-70b-6209-v23/flywheel_model.1.safetensors
undi95-meta-llama-3-70b-6209-v23-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/undi95-meta-llama-3-70b-6209-v23/flywheel_model.2.safetensors
undi95-meta-llama-3-70b-6209-v23-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/undi95-meta-llama-3-70b-6209-v23/flywheel_model.3.safetensors
undi95-meta-llama-3-70b-6209-v23-mkmlizer: loading reward model from ChaiML/gpt2_xl_pairwise_89m_step_347634
undi95-meta-llama-3-70b-6209-v23-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:950: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
undi95-meta-llama-3-70b-6209-v23-mkmlizer: warnings.warn(
undi95-meta-llama-3-70b-6209-v23-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:778: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
undi95-meta-llama-3-70b-6209-v23-mkmlizer: warnings.warn(
undi95-meta-llama-3-70b-6209-v23-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.
undi95-meta-llama-3-70b-6209-v23-mkmlizer: warnings.warn(
undi95-meta-llama-3-70b-6209-v23-mkmlizer: Downloading shards: 0%| | 0/2 [00:00<?, ?it/s] Downloading shards: 50%|█████ | 1/2 [00:06<00:06, 6.48s/it] Downloading shards: 100%|██████████| 2/2 [00:09<00:00, 4.31s/it] Downloading shards: 100%|██████████| 2/2 [00:09<00:00, 4.64s/it]
undi95-meta-llama-3-70b-6209-v23-mkmlizer: Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s] Loading checkpoint shards: 50%|█████ | 1/2 [00:00<00:00, 2.40it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.96it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.61it/s]
undi95-meta-llama-3-70b-6209-v23-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
undi95-meta-llama-3-70b-6209-v23-mkmlizer: Saving duration: 1.331s
undi95-meta-llama-3-70b-6209-v23-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 14.052s
undi95-meta-llama-3-70b-6209-v23-mkmlizer: creating bucket guanaco-reward-models
undi95-meta-llama-3-70b-6209-v23-mkmlizer: Bucket 's3://guanaco-reward-models/' created
undi95-meta-llama-3-70b-6209-v23-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/undi95-meta-llama-3-70b-6209-v23_reward
undi95-meta-llama-3-70b-6209-v23-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/undi95-meta-llama-3-70b-6209-v23_reward/special_tokens_map.json
undi95-meta-llama-3-70b-6209-v23-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/undi95-meta-llama-3-70b-6209-v23_reward/config.json
undi95-meta-llama-3-70b-6209-v23-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/undi95-meta-llama-3-70b-6209-v23_reward/tokenizer_config.json
undi95-meta-llama-3-70b-6209-v23-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/undi95-meta-llama-3-70b-6209-v23_reward/merges.txt
undi95-meta-llama-3-70b-6209-v23-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/undi95-meta-llama-3-70b-6209-v23_reward/vocab.json
undi95-meta-llama-3-70b-6209-v23-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/undi95-meta-llama-3-70b-6209-v23_reward/tokenizer.json
undi95-meta-llama-3-70b-6209-v23-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/undi95-meta-llama-3-70b-6209-v23_reward/reward.tensors
Job undi95-meta-llama-3-70b-6209-v23-mkmlizer completed after 516.95s with status: succeeded
Stopping job with name undi95-meta-llama-3-70b-6209-v23-mkmlizer
Pipeline stage MKMLizer completed in 517.98s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service undi95-meta-llama-3-70b-6209-v23
Waiting for inference service undi95-meta-llama-3-70b-6209-v23 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service undi95-meta-llama-3-70b-6209-v23 ready after 91.01996731758118s
Pipeline stage ISVCDeployer completed in 92.61s
Running pipeline stage StressChecker
Received healthy response to inference request in 5.094776630401611s
Received healthy response to inference request in 4.026827573776245s
Received healthy response to inference request in 4.005524396896362s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Received healthy response to inference request in 4.032061576843262s
Received healthy response to inference request in 4.003244876861572s
5 requests
0 failed requests
5th percentile: 4.00370078086853
10th percentile: 4.004156684875488
20th percentile: 4.0050684928894045
30th percentile: 4.0097850322723385
40th percentile: 4.018306303024292
50th percentile: 4.026827573776245
60th percentile: 4.028921175003052
70th percentile: 4.031014776229858
80th percentile: 4.244604587554932
90th percentile: 4.6696906089782715
95th percentile: 4.882233619689941
99th percentile: 5.052268028259277
mean time: 4.23248701095581
Pipeline stage StressChecker completed in 21.89s
undi95-meta-llama-3-70b_6209_v23 status is now deployed due to DeploymentManager action
undi95-meta-llama-3-70b_6209_v23 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of undi95-meta-llama-3-70b_6209_v23
Running pipeline stage ISVCDeleter
Checking if service undi95-meta-llama-3-70b-6209-v23 is running
Tearing down inference service undi95-meta-llama-3-70b-6209-v23
Service undi95-meta-llama-3-70b-6209-v23 has been torndown
Pipeline stage ISVCDeleter completed in 5.23s
Running pipeline stage MKMLModelDeleter
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Deleting key undi95-meta-llama-3-70b-6209-v23/flywheel_model.0.safetensors from bucket guanaco-mkml-models
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Cleaning model data from model cache
Deleting key undi95-meta-llama-3-70b-6209-v23_reward/config.json from bucket guanaco-reward-models
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Deleting key undi95-meta-llama-3-70b-6209-v23_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key undi95-meta-llama-3-70b-6209-v23_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key undi95-meta-llama-3-70b-6209-v23_reward/tokenizer_config.json from bucket guanaco-reward-models
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Pipeline stage MKMLModelDeleter completed in 12.06s
undi95-meta-llama-3-70b_6209_v23 status is now torndown due to DeploymentManager action