submission_id: cycy233-l3-bdpo-v8-c3_v2
developer_uid: shiroe40
alignment_samples: 0
best_of: 16
celo_rating: 1206.36
display_name: auto
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}
generation_params: {'temperature': 0.6, 'top_p': 0.9, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|end_header_id|>', '<|eot_id|>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
is_internal_developer: False
language_model: cycy233/L3-bdpo-v8-c3
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: cycy233/L3-bdpo-v8-c3
model_name: auto
model_num_parameters: 8030261248.0
model_repo: cycy233/L3-bdpo-v8-c3
model_size: 8B
num_battles: 68792
num_wins: 36004
propriety_score: 0.7499577631356648
propriety_total_count: 5919.0
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: Jellywibble/gpt2_xl_pairwise_89m_step_347634
status: torndown
submission_type: basic
timestamp: 2024-07-15T08:00:50+00:00
us_pacific_date: 2024-07-15
win_ratio: 0.5233748110245378
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-l3-bdpo-v8-c3-v2-mkmlizer
Waiting for job on cycy233-l3-bdpo-v8-c3-v2-mkmlizer to finish
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: ║ _____ __ __ ║
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: ║ /___/ ║
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: ║ ║
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: ║ Version: 0.9.5.post2 ║
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: ║ https://mk1.ai ║
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: ║ ║
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: ║ The license key for the current software has been verified as ║
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: ║ belonging to: ║
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: ║ ║
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: ║ Chai Research Corp. ║
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: ║ ║
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: Downloaded to shared memory in 24.518s
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.embed_tokens.weight torch.Size([139542528])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.0.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.0.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.0.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.0.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.0.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.0.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.1.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.1.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.1.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.1.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.1.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.1.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.2.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.2.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.2.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.2.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.2.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.2.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.3.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.3.mlp.down_proj.weight torch.Size([11927552])
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cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.3.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.3.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.3.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.4.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.4.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.4.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.4.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.4.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.4.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.5.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.5.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.5.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.5.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.5.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.5.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.6.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.6.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.6.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.6.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.6.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.6.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.7.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.7.mlp.down_proj.weight torch.Size([11927552])
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cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.7.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.7.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.7.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.8.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.8.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.8.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.8.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.8.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.8.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.10.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.10.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.10.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.10.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.10.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.10.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.11.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.11.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.11.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.11.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.11.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.11.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.12.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.12.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.12.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.12.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.12.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.12.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.13.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.13.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.13.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.13.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.13.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.13.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.14.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.14.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.14.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.14.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.14.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.14.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.15.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.15.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.15.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.15.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.15.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.15.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.16.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.16.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.16.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.16.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.16.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.16.self_attn.qkv_proj.weight torch.Size([5111808])
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cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.layers.20.self_attn.qkv_proj.weight torch.Size([5111808])
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cycy233-l3-bdpo-v8-c3-v2-mkmlizer: lm_head.weight torch.Size([139542528])
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cycy233-l3-bdpo-v8-c3-v2-mkmlizer: model.norm.weight torch.Size([4096])
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110.16it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: quantized model in 29.868s
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: Processed model cycy233/L3-bdpo-v8-c3 in 54.386s
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-bdpo-v8-c3-v2
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-bdpo-v8-c3-v2/special_tokens_map.json
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-bdpo-v8-c3-v2/tokenizer_config.json
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-bdpo-v8-c3-v2/config.json
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-bdpo-v8-c3-v2/tokenizer.json
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-bdpo-v8-c3-v2/flywheel_model.0.safetensors
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
cycy233-l3-bdpo-v8-c3-v2-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.
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: warnings.warn(
cycy233-l3-bdpo-v8-c3-v2-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.
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: warnings.warn(
cycy233-l3-bdpo-v8-c3-v2-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.
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: warnings.warn(
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: Saving duration: 2.397s
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 14.026s
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-bdpo-v8-c3-v2_reward
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-bdpo-v8-c3-v2_reward/config.json
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-bdpo-v8-c3-v2_reward/special_tokens_map.json
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-bdpo-v8-c3-v2_reward/vocab.json
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-bdpo-v8-c3-v2_reward/merges.txt
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-bdpo-v8-c3-v2_reward/tokenizer_config.json
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-bdpo-v8-c3-v2_reward/tokenizer.json
cycy233-l3-bdpo-v8-c3-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-bdpo-v8-c3-v2_reward/reward.tensors
Job cycy233-l3-bdpo-v8-c3-v2-mkmlizer completed after 98.61s with status: succeeded
Stopping job with name cycy233-l3-bdpo-v8-c3-v2-mkmlizer
Pipeline stage MKMLizer completed in 99.44s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-bdpo-v8-c3-v2
Waiting for inference service cycy233-l3-bdpo-v8-c3-v2 to be ready
Inference service cycy233-l3-bdpo-v8-c3-v2 ready after 40.21311950683594s
Pipeline stage ISVCDeployer completed in 47.10s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.186410665512085s
Received healthy response to inference request in 1.501685619354248s
Received healthy response to inference request in 1.4413623809814453s
Received healthy response to inference request in 1.4227135181427002s
Received healthy response to inference request in 1.4765841960906982s
5 requests
0 failed requests
5th percentile: 1.4264432907104492
10th percentile: 1.4301730632781982
20th percentile: 1.4376326084136963
30th percentile: 1.448406744003296
40th percentile: 1.462495470046997
50th percentile: 1.4765841960906982
60th percentile: 1.4866247653961182
70th percentile: 1.4966653347015382
80th percentile: 1.6386306285858154
90th percentile: 1.9125206470489502
95th percentile: 2.0494656562805176
99th percentile: 2.1590216636657713
mean time: 1.6057512760162354
Pipeline stage StressChecker completed in 9.17s
cycy233-l3-bdpo-v8-c3_v2 status is now deployed due to DeploymentManager action
cycy233-l3-bdpo-v8-c3_v2 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cycy233-l3-bdpo-v8-c3_v2
Running pipeline stage ISVCDeleter
Checking if service cycy233-l3-bdpo-v8-c3-v2 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 4.29s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cycy233-l3-bdpo-v8-c3-v2/config.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v8-c3-v2/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v8-c3-v2/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v8-c3-v2/tokenizer.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v8-c3-v2/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cycy233-l3-bdpo-v8-c3-v2_reward/config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v8-c3-v2_reward/merges.txt from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v8-c3-v2_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v8-c3-v2_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v8-c3-v2_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v8-c3-v2_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v8-c3-v2_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 6.21s
cycy233-l3-bdpo-v8-c3_v2 status is now torndown due to DeploymentManager action

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