submission_id: chaiml-sao10k-l3-rp-v3-3_v23
developer_uid: robert_irvine
status: inactive
model_repo: ChaiML/sao10k-l3-rp-v3-3
reward_repo: ChaiML/gpt2_medium_pairwise_60m_step_937500
generation_params: {'temperature': 0.95, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|end_header_id|>,', '<|eot_id|>,', '\n\n{user_name}'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n{bot_name}'s Persona: {memory}\n\n", 'prompt_template': '{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}: {message}<|eot_id|>', 'user_template': '<|start_header_id|>user<|end_header_id|>\n\n{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}:', 'truncate_by_message': False}
reward_formatter: {'memory_template': '""', 'prompt_template': '""', 'bot_template': 'Bot: {message}\n', 'user_template': 'User: {message}\n', 'response_template': 'Bot:', 'truncate_by_message': False}
timestamp: 2024-07-11T18:34:33+00:00
model_name: chaiml-sao10k-l3-rp-v3-3_v23
model_group: ChaiML/sao10k-l3-rp-v3-3
num_battles: 42579
num_wins: 22895
celo_rating: 1219.34
propriety_score: 0.7062600321027287
propriety_total_count: 6230.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
display_name: chaiml-sao10k-l3-rp-v3-3_v23
ineligible_reason: None
language_model: ChaiML/sao10k-l3-rp-v3-3
model_size: 8B
reward_model: ChaiML/gpt2_medium_pairwise_60m_step_937500
us_pacific_date: 2024-07-11
win_ratio: 0.537706381079875
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name chaiml-sao10k-l3-rp-v3-3-v23-mkmlizer
Waiting for job on chaiml-sao10k-l3-rp-v3-3-v23-mkmlizer to finish
chaiml-sao10k-l3-rp-v3-3-v23-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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chaiml-sao10k-l3-rp-v3-3-v23-mkmlizer: ║ Version: 0.8.14 ║
chaiml-sao10k-l3-rp-v3-3-v23-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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Retrying (%r) after connection broken by '%r': %s
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chaiml-sao10k-l3-rp-v3-3-v23-mkmlizer: quantized model in 29.308s
chaiml-sao10k-l3-rp-v3-3-v23-mkmlizer: Processed model ChaiML/sao10k-l3-rp-v3-3 in 56.147s
chaiml-sao10k-l3-rp-v3-3-v23-mkmlizer: creating bucket guanaco-mkml-models
chaiml-sao10k-l3-rp-v3-3-v23-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-sao10k-l3-rp-v3-3-v23-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-sao10k-l3-rp-v3-3-v23
chaiml-sao10k-l3-rp-v3-3-v23-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-sao10k-l3-rp-v3-3-v23/config.json
chaiml-sao10k-l3-rp-v3-3-v23-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-sao10k-l3-rp-v3-3-v23/tokenizer_config.json
chaiml-sao10k-l3-rp-v3-3-v23-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-sao10k-l3-rp-v3-3-v23/special_tokens_map.json
chaiml-sao10k-l3-rp-v3-3-v23-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-sao10k-l3-rp-v3-3-v23/tokenizer.json
chaiml-sao10k-l3-rp-v3-3-v23-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-sao10k-l3-rp-v3-3-v23/flywheel_model.0.safetensors
chaiml-sao10k-l3-rp-v3-3-v23-mkmlizer: loading reward model from ChaiML/gpt2_medium_pairwise_60m_step_937500
chaiml-sao10k-l3-rp-v3-3-v23-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:919: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
chaiml-sao10k-l3-rp-v3-3-v23-mkmlizer: warnings.warn(
chaiml-sao10k-l3-rp-v3-3-v23-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
chaiml-sao10k-l3-rp-v3-3-v23-mkmlizer: warnings.warn(
chaiml-sao10k-l3-rp-v3-3-v23-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:769: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
chaiml-sao10k-l3-rp-v3-3-v23-mkmlizer: warnings.warn(
chaiml-sao10k-l3-rp-v3-3-v23-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.
chaiml-sao10k-l3-rp-v3-3-v23-mkmlizer: warnings.warn(
chaiml-sao10k-l3-rp-v3-3-v23-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
chaiml-sao10k-l3-rp-v3-3-v23-mkmlizer: Saving duration: 0.515s
chaiml-sao10k-l3-rp-v3-3-v23-mkmlizer: Processed model ChaiML/gpt2_medium_pairwise_60m_step_937500 in 7.590s
chaiml-sao10k-l3-rp-v3-3-v23-mkmlizer: creating bucket guanaco-reward-models
chaiml-sao10k-l3-rp-v3-3-v23-mkmlizer: Bucket 's3://guanaco-reward-models/' created
chaiml-sao10k-l3-rp-v3-3-v23-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/chaiml-sao10k-l3-rp-v3-3-v23_reward
chaiml-sao10k-l3-rp-v3-3-v23-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/chaiml-sao10k-l3-rp-v3-3-v23_reward/config.json
chaiml-sao10k-l3-rp-v3-3-v23-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/chaiml-sao10k-l3-rp-v3-3-v23_reward/special_tokens_map.json
chaiml-sao10k-l3-rp-v3-3-v23-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/chaiml-sao10k-l3-rp-v3-3-v23_reward/tokenizer_config.json
chaiml-sao10k-l3-rp-v3-3-v23-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/chaiml-sao10k-l3-rp-v3-3-v23_reward/merges.txt
chaiml-sao10k-l3-rp-v3-3-v23-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/chaiml-sao10k-l3-rp-v3-3-v23_reward/vocab.json
chaiml-sao10k-l3-rp-v3-3-v23-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/chaiml-sao10k-l3-rp-v3-3-v23_reward/tokenizer.json
chaiml-sao10k-l3-rp-v3-3-v23-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/chaiml-sao10k-l3-rp-v3-3-v23_reward/reward.tensors
Job chaiml-sao10k-l3-rp-v3-3-v23-mkmlizer completed after 84.59s with status: succeeded
Stopping job with name chaiml-sao10k-l3-rp-v3-3-v23-mkmlizer
Pipeline stage MKMLizer completed in 85.49s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service chaiml-sao10k-l3-rp-v3-3-v23
Waiting for inference service chaiml-sao10k-l3-rp-v3-3-v23 to be ready
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
Inference service chaiml-sao10k-l3-rp-v3-3-v23 ready after 50.25937342643738s
Pipeline stage ISVCDeployer completed in 57.16s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.0611398220062256s
Received healthy response to inference request in 1.2422449588775635s
Received healthy response to inference request in 1.2585194110870361s
Received healthy response to inference request in 1.2707622051239014s
Received healthy response to inference request in 1.2429554462432861s
5 requests
0 failed requests
5th percentile: 1.242387056350708
10th percentile: 1.2425291538238525
20th percentile: 1.2428133487701416
30th percentile: 1.2460682392120361
40th percentile: 1.2522938251495361
50th percentile: 1.2585194110870361
60th percentile: 1.2634165287017822
70th percentile: 1.2683136463165283
80th percentile: 1.4288377285003664
90th percentile: 1.744988775253296
95th percentile: 1.9030642986297606
99th percentile: 2.0295247173309328
mean time: 1.4151243686676025
Pipeline stage StressChecker completed in 7.81s
chaiml-sao10k-l3-rp-v3-3_v23 status is now deployed due to DeploymentManager action
chaiml-sao10k-l3-rp-v3-3_v23 status is now inactive due to auto deactivation removed underperforming models

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