cycy233-l3-bdpo-v5-c1

developer_uid: shiroe40
submission_id: cycy233-l3-bdpo-v5-c1_v5
model_name: auto
model_group: cycy233/L3-bdpo-v5-c1
status: torndown
timestamp: 2024-07-15T03:49:16+00:00
num_battles: 59587
num_wins: 25712
celo_rating: 1144.41
family_friendly_score: 0.0
submission_type: basic
model_repo: cycy233/L3-bdpo-v5-c1
model_architecture: LlamaForCausalLM
reward_repo: Jellywibble/gpt2_xl_pairwise_89m_step_347634
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: auto
is_internal_developer: False
language_model: cycy233/L3-bdpo-v5-c1
model_size: 8B
ranking_group: single
us_pacific_date: 2024-07-14
win_ratio: 0.431503515867555
generation_params: {'temperature': 0.6, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 40, '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}
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: {'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'}
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-l3-bdpo-v5-c1-v5-mkmlizer
Waiting for job on cycy233-l3-bdpo-v5-c1-v5-mkmlizer to finish
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: ║     _____            __           __                                ║
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: ║       /___/                                                         ║
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: ║                                                                     ║
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: ║  Version: 0.9.5.post2                                               ║
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: ║                                                                     ║
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: ║  belonging to:                                                      ║
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: ║                                                                     ║
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: ║                                                                     ║
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: Downloaded to shared memory in 28.647s
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.embed_tokens.weight torch.Size([139542528])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.0.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.0.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.0.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.0.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.0.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.0.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.1.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.1.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.1.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.1.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.1.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.1.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.2.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.2.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.2.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.2.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.2.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.2.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.3.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.3.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.3.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.3.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.3.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.3.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.4.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.4.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.4.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.4.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.4.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.4.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.5.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.5.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.5.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.5.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.5.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.5.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.6.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.6.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.6.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.6.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.6.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.6.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.7.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.7.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.7.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.7.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.7.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.7.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.8.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.8.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.8.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.8.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.8.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.8.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.10.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.10.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.10.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.10.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.10.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.10.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.11.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.11.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.11.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.11.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.11.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.11.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.12.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.12.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.12.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.12.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.12.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.12.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.13.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.13.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.13.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.13.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.13.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.13.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.14.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.14.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.14.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.14.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.14.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.14.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.15.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.15.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.15.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.15.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.15.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.15.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.16.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.16.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.16.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.16.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.16.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.16.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.17.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.17.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.17.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.17.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.17.self_attn.o_proj.weight torch.Size([3407872])
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cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.18.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.18.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.18.self_attn.o_proj.weight torch.Size([3407872])
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cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.19.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.19.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.19.self_attn.qkv_proj.weight torch.Size([5111808])
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cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.20.self_attn.qkv_proj.weight torch.Size([5111808])
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cycy233-l3-bdpo-v5-c1-v5-mkmlizer: model.layers.9.self_attn.o_proj.weight torch.Size([3407872])
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cycy233-l3-bdpo-v5-c1-v5-mkmlizer: lm_head.weight torch.Size([139542528])
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Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: quantized model in 24.710s
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: Processed model cycy233/L3-bdpo-v5-c1 in 53.358s
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-bdpo-v5-c1-v5
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-bdpo-v5-c1-v5/config.json
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-bdpo-v5-c1-v5/special_tokens_map.json
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-bdpo-v5-c1-v5/tokenizer_config.json
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-bdpo-v5-c1-v5/tokenizer.json
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-bdpo-v5-c1-v5/flywheel_model.0.safetensors
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
cycy233-l3-bdpo-v5-c1-v5-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-v5-c1-v5-mkmlizer:   warnings.warn(
cycy233-l3-bdpo-v5-c1-v5-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-v5-c1-v5-mkmlizer:   warnings.warn(
cycy233-l3-bdpo-v5-c1-v5-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-v5-c1-v5-mkmlizer:   warnings.warn(
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: Saving duration: 1.928s
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 14.997s
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-bdpo-v5-c1-v5_reward
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-bdpo-v5-c1-v5_reward/special_tokens_map.json
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-bdpo-v5-c1-v5_reward/config.json
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-bdpo-v5-c1-v5_reward/tokenizer_config.json
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-bdpo-v5-c1-v5_reward/merges.txt
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-bdpo-v5-c1-v5_reward/vocab.json
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-bdpo-v5-c1-v5_reward/tokenizer.json
cycy233-l3-bdpo-v5-c1-v5-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-bdpo-v5-c1-v5_reward/reward.tensors
Job cycy233-l3-bdpo-v5-c1-v5-mkmlizer completed after 99.88s with status: succeeded
Stopping job with name cycy233-l3-bdpo-v5-c1-v5-mkmlizer
Pipeline stage MKMLizer completed in 101.06s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.13s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-bdpo-v5-c1-v5
Waiting for inference service cycy233-l3-bdpo-v5-c1-v5 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service cycy233-l3-bdpo-v5-c1-v5 ready after 50.195911169052124s
Pipeline stage ISVCDeployer completed in 57.44s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3704121112823486s
Received healthy response to inference request in 1.4877839088439941s
Received healthy response to inference request in 1.4521665573120117s
Received healthy response to inference request in 1.4240221977233887s
Received healthy response to inference request in 1.4928338527679443s
5 requests
0 failed requests
5th percentile: 1.4296510696411133
10th percentile: 1.435279941558838
20th percentile: 1.446537685394287
30th percentile: 1.4592900276184082
40th percentile: 1.4735369682312012
50th percentile: 1.4877839088439941
60th percentile: 1.4898038864135743
70th percentile: 1.4918238639831543
80th percentile: 1.6683495044708254
90th percentile: 2.019380807876587
95th percentile: 2.1948964595794678
99th percentile: 2.3353089809417726
mean time: 1.6454437255859375
Pipeline stage StressChecker completed in 9.49s
cycy233-l3-bdpo-v5-c1_v5 status is now deployed due to DeploymentManager action
cycy233-l3-bdpo-v5-c1_v5 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cycy233-l3-bdpo-v5-c1_v5
Running pipeline stage ISVCDeleter
Checking if service cycy233-l3-bdpo-v5-c1-v5 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 4.23s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cycy233-l3-bdpo-v5-c1-v5/config.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v5-c1-v5/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v5-c1-v5/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v5-c1-v5/tokenizer.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v5-c1-v5/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cycy233-l3-bdpo-v5-c1-v5_reward/config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v5-c1-v5_reward/merges.txt from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v5-c1-v5_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v5-c1-v5_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v5-c1-v5_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v5-c1-v5_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v5-c1-v5_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 6.14s
cycy233-l3-bdpo-v5-c1_v5 status is now torndown due to DeploymentManager action