submission_id: undi95-meta-llama-3-70b_6209_v24
developer_uid: Rose8860
best_of: 2
celo_rating: 1177.63
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: 18799
num_wins: 9133
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: 2024-07-23T11:28:47+00:00
us_pacific_date: 2024-07-23
win_ratio: 0.48582371402734187
Download Preference Data
Resubmit model
Running pipeline stage MKMLizer
Starting job with name undi95-meta-llama-3-70b-6209-v24-mkmlizer
Waiting for job on undi95-meta-llama-3-70b-6209-v24-mkmlizer to finish
undi95-meta-llama-3-70b-6209-v24-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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undi95-meta-llama-3-70b-6209-v24-mkmlizer: ║ Version: 0.9.5.post3 ║
undi95-meta-llama-3-70b-6209-v24-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\'"}')
undi95-meta-llama-3-70b-6209-v24-mkmlizer: Downloaded to shared memory in 271.396s
undi95-meta-llama-3-70b-6209-v24-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmply9atfk7, device:0
undi95-meta-llama-3-70b-6209-v24-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission blend_dunet_2024-07-19: ('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 blend_dunet_2024-07-19: ('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\'"}')
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18.30it/s] Loading 0: 100%|█████████▉| 722/723 [01:45<00:00, 18.30it/s] Loading 0: 100%|██████████| 723/723 [01:45<00:00, 1.24it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
undi95-meta-llama-3-70b-6209-v24-mkmlizer: quantized model in 122.189s
undi95-meta-llama-3-70b-6209-v24-mkmlizer: Processed model Undi95/Meta-Llama-3-70B-Instruct-hf in 393.586s
undi95-meta-llama-3-70b-6209-v24-mkmlizer: creating bucket guanaco-mkml-models
undi95-meta-llama-3-70b-6209-v24-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
undi95-meta-llama-3-70b-6209-v24-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/undi95-meta-llama-3-70b-6209-v24
undi95-meta-llama-3-70b-6209-v24-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/undi95-meta-llama-3-70b-6209-v24/config.json
undi95-meta-llama-3-70b-6209-v24-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/undi95-meta-llama-3-70b-6209-v24/special_tokens_map.json
undi95-meta-llama-3-70b-6209-v24-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/undi95-meta-llama-3-70b-6209-v24/tokenizer.json
undi95-meta-llama-3-70b-6209-v24-mkmlizer: cp /dev/shm/model_cache/flywheel_model.5.safetensors s3://guanaco-mkml-models/undi95-meta-llama-3-70b-6209-v24/flywheel_model.5.safetensors
undi95-meta-llama-3-70b-6209-v24-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/undi95-meta-llama-3-70b-6209-v24/flywheel_model.0.safetensors
undi95-meta-llama-3-70b-6209-v24-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/undi95-meta-llama-3-70b-6209-v24/flywheel_model.2.safetensors
undi95-meta-llama-3-70b-6209-v24-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/undi95-meta-llama-3-70b-6209-v24/flywheel_model.3.safetensors
undi95-meta-llama-3-70b-6209-v24-mkmlizer: cp /dev/shm/model_cache/flywheel_model.4.safetensors s3://guanaco-mkml-models/undi95-meta-llama-3-70b-6209-v24/flywheel_model.4.safetensors
undi95-meta-llama-3-70b-6209-v24-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/undi95-meta-llama-3-70b-6209-v24/flywheel_model.1.safetensors
undi95-meta-llama-3-70b-6209-v24-mkmlizer: loading reward model from ChaiML/gpt2_xl_pairwise_89m_step_347634
undi95-meta-llama-3-70b-6209-v24-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-v24-mkmlizer: warnings.warn(
undi95-meta-llama-3-70b-6209-v24-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-v24-mkmlizer: warnings.warn(
undi95-meta-llama-3-70b-6209-v24-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-v24-mkmlizer: warnings.warn(
undi95-meta-llama-3-70b-6209-v24-mkmlizer: Downloading shards: 0%| | 0/2 [00:00<?, ?it/s] Downloading shards: 50%|█████ | 1/2 [00:05<00:05, 5.46s/it] Downloading shards: 100%|██████████| 2/2 [00:12<00:00, 6.17s/it] Downloading shards: 100%|██████████| 2/2 [00:12<00:00, 6.07s/it]
undi95-meta-llama-3-70b-6209-v24-mkmlizer: Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s] Loading checkpoint shards: 50%|█████ | 1/2 [00:00<00:00, 2.30it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.85it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.49it/s]
undi95-meta-llama-3-70b-6209-v24-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
undi95-meta-llama-3-70b-6209-v24-mkmlizer: Bucket 's3://guanaco-reward-models/' created
undi95-meta-llama-3-70b-6209-v24-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/undi95-meta-llama-3-70b-6209-v24_reward
undi95-meta-llama-3-70b-6209-v24-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/undi95-meta-llama-3-70b-6209-v24_reward/special_tokens_map.json
undi95-meta-llama-3-70b-6209-v24-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/undi95-meta-llama-3-70b-6209-v24_reward/config.json
undi95-meta-llama-3-70b-6209-v24-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/undi95-meta-llama-3-70b-6209-v24_reward/tokenizer_config.json
undi95-meta-llama-3-70b-6209-v24-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/undi95-meta-llama-3-70b-6209-v24_reward/merges.txt
undi95-meta-llama-3-70b-6209-v24-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/undi95-meta-llama-3-70b-6209-v24_reward/vocab.json
undi95-meta-llama-3-70b-6209-v24-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/undi95-meta-llama-3-70b-6209-v24_reward/tokenizer.json
undi95-meta-llama-3-70b-6209-v24-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/undi95-meta-llama-3-70b-6209-v24_reward/reward.tensors
Job undi95-meta-llama-3-70b-6209-v24-mkmlizer completed after 465.26s with status: succeeded
Stopping job with name undi95-meta-llama-3-70b-6209-v24-mkmlizer
Pipeline stage MKMLizer completed in 466.27s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service undi95-meta-llama-3-70b-6209-v24
Waiting for inference service undi95-meta-llama-3-70b-6209-v24 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
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Inference service undi95-meta-llama-3-70b-6209-v24 ready after 100.88776540756226s
Pipeline stage ISVCDeployer completed in 102.89s
Running pipeline stage StressChecker
Received healthy response to inference request in 5.033924579620361s
Received healthy response to inference request in 4.086927175521851s
Received healthy response to inference request in 2.171051502227783s
Received healthy response to inference request in 4.040534734725952s
Received healthy response to inference request in 4.0455405712127686s
5 requests
0 failed requests
5th percentile: 2.544948148727417
10th percentile: 2.918844795227051
20th percentile: 3.6666380882263185
30th percentile: 4.041535902023315
40th percentile: 4.043538236618042
50th percentile: 4.0455405712127686
60th percentile: 4.062095212936401
70th percentile: 4.078649854660034
80th percentile: 4.276326656341553
90th percentile: 4.655125617980957
95th percentile: 4.844525098800659
99th percentile: 4.996044683456421
mean time: 3.875595712661743
Pipeline stage StressChecker completed in 20.15s
undi95-meta-llama-3-70b_6209_v24 status is now deployed due to DeploymentManager action
undi95-meta-llama-3-70b_6209_v24 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of undi95-meta-llama-3-70b_6209_v24
Running pipeline stage ISVCDeleter
Checking if service undi95-meta-llama-3-70b-6209-v24 is running
Tearing down inference service undi95-meta-llama-3-70b-6209-v24
Service undi95-meta-llama-3-70b-6209-v24 has been torndown
Pipeline stage ISVCDeleter completed in 5.34s
Running pipeline stage MKMLModelDeleter
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Cleaning model data from model cache
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Deleting key undi95-meta-llama-3-70b-6209-v24_reward/special_tokens_map.json from bucket guanaco-reward-models
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Deleting key undi95-meta-llama-3-70b-6209-v24_reward/tokenizer_config.json from bucket guanaco-reward-models
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Pipeline stage MKMLModelDeleter completed in 12.27s
undi95-meta-llama-3-70b_6209_v24 status is now torndown due to DeploymentManager action