submission_id: cgato-thesalt-rp-l3-8b-v0-3-2_v8
developer_uid: c.gato
status: inactive
model_repo: cgato/TheSalt-RP-L3-8b-v0.3.2
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 200, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
formatter: {'memory_template': '<|im_start|>system\n{memory}\n', 'prompt_template': '{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': True}
reward_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}
timestamp: 2024-06-19T19:43:26+00:00
model_name: cgato-thesalt-rp-l3-8b-v0-3-2_v8
model_group: cgato/TheSalt-RP-L3-8b-v
num_battles: 18280
num_wins: 9589
celo_rating: 1197.49
propriety_score: 0.7185142857142857
propriety_total_count: 8750.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030294016.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: cgato-thesalt-rp-l3-8b-v0-3-2_v8
ineligible_reason: None
language_model: cgato/TheSalt-RP-L3-8b-v0.3.2
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-19
win_ratio: 0.524562363238512
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-thesalt-rp-l3-8b-v0-3-2-v8-mkmlizer
Waiting for job on cgato-thesalt-rp-l3-8b-v0-3-2-v8-mkmlizer to finish
cgato-thesalt-rp-l3-8b-v0-3-2-v8-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cgato-thesalt-rp-l3-8b-v0-3-2-v8-mkmlizer: ║ Version: 0.8.14 ║
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cgato-thesalt-rp-l3-8b-v0-3-2-v8-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-thesalt-rp-l3-8b-v0-3-2-v8-mkmlizer: Downloaded to shared memory in 27.032s
cgato-thesalt-rp-l3-8b-v0-3-2-v8-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-thesalt-rp-l3-8b-v0-3-2-v8-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-thesalt-rp-l3-8b-v0-3-2-v8-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 5%|▍ | 14/291 [00:00<00:02, 126.47it/s] Loading 0: 11%|█ | 31/291 [00:00<00:01, 147.13it/s] Loading 0: 16%|█▋ | 48/291 [00:00<00:01, 151.06it/s] Loading 0: 22%|██▏ | 64/291 [00:00<00:01, 151.55it/s] Loading 0: 27%|██▋ | 80/291 [00:00<00:01, 147.40it/s] Loading 0: 33%|███▎ | 95/291 [00:01<00:02, 68.93it/s] Loading 0: 38%|███▊ | 112/291 [00:01<00:02, 86.30it/s] Loading 0: 44%|████▍ | 129/291 [00:01<00:01, 102.58it/s] Loading 0: 49%|████▉ | 144/291 [00:01<00:01, 112.82it/s] Loading 0: 55%|█████▍ | 159/291 [00:01<00:01, 119.69it/s] Loading 0: 62%|██████▏ | 179/291 [00:01<00:00, 136.13it/s] Loading 0: 67%|██████▋ | 195/291 [00:01<00:01, 75.48it/s] Loading 0: 73%|███████▎ | 211/291 [00:02<00:00, 89.05it/s] Loading 0: 78%|███████▊ | 228/291 [00:02<00:00, 103.75it/s] Loading 0: 84%|████████▎ | 243/291 [00:02<00:00, 113.09it/s] Loading 0: 89%|████████▊ | 258/291 [00:02<00:00, 119.42it/s] Loading 0: 94%|█████████▍| 274/291 [00:02<00:00, 128.82it/s] Loading 0: 99%|█████████▉| 289/291 [00:07<00:00, 9.83it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cgato-thesalt-rp-l3-8b-v0-3-2-v8-mkmlizer: quantized model in 19.141s
cgato-thesalt-rp-l3-8b-v0-3-2-v8-mkmlizer: creating bucket guanaco-mkml-models
cgato-thesalt-rp-l3-8b-v0-3-2-v8-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-thesalt-rp-l3-8b-v0-3-2-v8-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-thesalt-rp-l3-8b-v0-3-2-v8
cgato-thesalt-rp-l3-8b-v0-3-2-v8-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-thesalt-rp-l3-8b-v0-3-2-v8/config.json
cgato-thesalt-rp-l3-8b-v0-3-2-v8-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-thesalt-rp-l3-8b-v0-3-2-v8/special_tokens_map.json
cgato-thesalt-rp-l3-8b-v0-3-2-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-thesalt-rp-l3-8b-v0-3-2-v8/tokenizer_config.json
cgato-thesalt-rp-l3-8b-v0-3-2-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-thesalt-rp-l3-8b-v0-3-2-v8/tokenizer.json
cgato-thesalt-rp-l3-8b-v0-3-2-v8-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-thesalt-rp-l3-8b-v0-3-2-v8/flywheel_model.0.safetensors
cgato-thesalt-rp-l3-8b-v0-3-2-v8-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-thesalt-rp-l3-8b-v0-3-2-v8-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-thesalt-rp-l3-8b-v0-3-2-v8-mkmlizer: warnings.warn(
cgato-thesalt-rp-l3-8b-v0-3-2-v8-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:757: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cgato-thesalt-rp-l3-8b-v0-3-2-v8-mkmlizer: warnings.warn(
cgato-thesalt-rp-l3-8b-v0-3-2-v8-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-thesalt-rp-l3-8b-v0-3-2-v8-mkmlizer: return self.fget.__get__(instance, owner)()
cgato-thesalt-rp-l3-8b-v0-3-2-v8-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-thesalt-rp-l3-8b-v0-3-2-v8-mkmlizer: Saving duration: 0.290s
cgato-thesalt-rp-l3-8b-v0-3-2-v8-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 10.269s
cgato-thesalt-rp-l3-8b-v0-3-2-v8-mkmlizer: creating bucket guanaco-reward-models
cgato-thesalt-rp-l3-8b-v0-3-2-v8-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-thesalt-rp-l3-8b-v0-3-2-v8-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-thesalt-rp-l3-8b-v0-3-2-v8_reward
cgato-thesalt-rp-l3-8b-v0-3-2-v8-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-thesalt-rp-l3-8b-v0-3-2-v8_reward/config.json
cgato-thesalt-rp-l3-8b-v0-3-2-v8-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-thesalt-rp-l3-8b-v0-3-2-v8_reward/special_tokens_map.json
cgato-thesalt-rp-l3-8b-v0-3-2-v8-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-thesalt-rp-l3-8b-v0-3-2-v8_reward/tokenizer_config.json
cgato-thesalt-rp-l3-8b-v0-3-2-v8-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-thesalt-rp-l3-8b-v0-3-2-v8_reward/merges.txt
cgato-thesalt-rp-l3-8b-v0-3-2-v8-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-thesalt-rp-l3-8b-v0-3-2-v8_reward/vocab.json
Job cgato-thesalt-rp-l3-8b-v0-3-2-v8-mkmlizer completed after 92.9s with status: succeeded
Stopping job with name cgato-thesalt-rp-l3-8b-v0-3-2-v8-mkmlizer
Pipeline stage MKMLizer completed in 97.64s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service cgato-thesalt-rp-l3-8b-v0-3-2-v8
Waiting for inference service cgato-thesalt-rp-l3-8b-v0-3-2-v8 to be ready
Inference service cgato-thesalt-rp-l3-8b-v0-3-2-v8 ready after 50.70990610122681s
Pipeline stage ISVCDeployer completed in 58.82s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.973996877670288s
Received healthy response to inference request in 1.0284805297851562s
Received healthy response to inference request in 1.026904821395874s
Received healthy response to inference request in 1.0368316173553467s
Received healthy response to inference request in 1.0014352798461914s
5 requests
0 failed requests
5th percentile: 1.006529188156128
10th percentile: 1.0116230964660644
20th percentile: 1.0218109130859374
30th percentile: 1.0272199630737304
40th percentile: 1.0278502464294434
50th percentile: 1.0284805297851562
60th percentile: 1.0318209648132324
70th percentile: 1.0351613998413085
80th percentile: 1.2242646694183352
90th percentile: 1.5991307735443117
95th percentile: 1.7865638256072995
99th percentile: 1.9365102672576904
mean time: 1.2135298252105713
Pipeline stage StressChecker completed in 6.67s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.03s
cgato-thesalt-rp-l3-8b-v0-3-2_v8 status is now deployed due to DeploymentManager action
cgato-thesalt-rp-l3-8b-v0-3-2_v8 status is now inactive due to auto deactivation removed underperforming models

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