submission_id: cycy233-l3-bdpo-v3-c2_v4
developer_uid: shiroe40
alignment_samples: 0
best_of: 8
celo_rating: 1253.19
display_name: auto
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': 0.6, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
is_internal_developer: False
language_model: cycy233/L3-bdpo-v3-c2
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: cycy233/L3-bdpo-v3-c2
model_name: auto
model_num_parameters: 8030261248.0
model_repo: cycy233/L3-bdpo-v3-c2
model_size: 8B
num_battles: 63943
num_wins: 37930
propriety_score: 0.6911392405063291
propriety_total_count: 5530.0
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: 2024-07-15T05:46:48+00:00
us_pacific_date: 2024-07-14
win_ratio: 0.5931845549942918
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-l3-bdpo-v3-c2-v4-mkmlizer
Waiting for job on cycy233-l3-bdpo-v3-c2-v4-mkmlizer to finish
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: ║ _____ __ __ ║
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cycy233-l3-bdpo-v3-c2-v4-mkmlizer: ║ /___/ ║
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: ║ ║
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: ║ Version: 0.9.5.post2 ║
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: ║ https://mk1.ai ║
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: ║ ║
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: ║ The license key for the current software has been verified as ║
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: ║ belonging to: ║
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: ║ ║
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: ║ Chai Research Corp. ║
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: ║ ║
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: Downloaded to shared memory in 27.046s
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.0.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.0.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.0.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.0.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.0.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.1.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.1.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.1.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.1.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.1.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.1.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.2.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.2.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.2.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.2.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.2.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.2.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.3.input_layernorm.weight torch.Size([4096])
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cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.3.post_attention_layernorm.weight torch.Size([4096])
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cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.3.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.4.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.4.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.4.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.4.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.4.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.4.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.5.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.5.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.5.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.5.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.5.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.5.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.6.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.6.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.6.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.6.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.6.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.6.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.7.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.7.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.7.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.7.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.7.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.7.self_attn.qkv_proj.weight torch.Size([5111808])
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cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.8.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.8.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.8.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.8.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.8.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.10.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.10.mlp.down_proj.weight torch.Size([11927552])
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cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.10.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.10.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.10.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.11.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.11.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.11.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.11.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.11.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.11.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.12.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.12.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.12.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.12.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.12.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.12.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.13.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.13.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.13.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.13.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.13.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.13.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.14.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.14.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.14.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.14.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.14.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.14.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.15.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.15.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.15.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.15.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.15.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.15.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.16.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.16.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.16.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.16.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.16.self_attn.o_proj.weight torch.Size([3407872])
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cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.17.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.17.mlp.down_proj.weight torch.Size([11927552])
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cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.17.post_attention_layernorm.weight torch.Size([4096])
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cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.18.self_attn.qkv_proj.weight torch.Size([5111808])
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cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.19.post_attention_layernorm.weight torch.Size([4096])
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cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.20.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.9.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.9.mlp.down_proj.weight torch.Size([11927552])
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cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.20.input_layernorm.weight torch.Size([4096])
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cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.21.mlp.down_proj.weight torch.Size([11927552])
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cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.21.self_attn.qkv_proj.weight torch.Size([5111808])
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cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.22.mlp.down_proj.weight torch.Size([11927552])
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cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.22.post_attention_layernorm.weight torch.Size([4096])
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cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.layers.24.mlp.up_gate_proj.weight torch.Size([23855104])
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cycy233-l3-bdpo-v3-c2-v4-mkmlizer: model.norm.weight torch.Size([4096])
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cycy233-l3-bdpo-v3-c2-v4-mkmlizer: quantized model in 29.209s
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: Processed model cycy233/L3-bdpo-v3-c2 in 56.255s
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-bdpo-v3-c2-v4
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-bdpo-v3-c2-v4/tokenizer_config.json
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-bdpo-v3-c2-v4/config.json
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-bdpo-v3-c2-v4/special_tokens_map.json
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-bdpo-v3-c2-v4/tokenizer.json
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-bdpo-v3-c2-v4/flywheel_model.0.safetensors
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
cycy233-l3-bdpo-v3-c2-v4-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-v3-c2-v4-mkmlizer: warnings.warn(
cycy233-l3-bdpo-v3-c2-v4-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-v3-c2-v4-mkmlizer: warnings.warn(
cycy233-l3-bdpo-v3-c2-v4-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-v3-c2-v4-mkmlizer: warnings.warn(
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: Saving duration: 2.373s
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 15.859s
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-bdpo-v3-c2-v4_reward
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-bdpo-v3-c2-v4_reward/config.json
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-bdpo-v3-c2-v4_reward/special_tokens_map.json
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-bdpo-v3-c2-v4_reward/tokenizer_config.json
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-bdpo-v3-c2-v4_reward/merges.txt
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-bdpo-v3-c2-v4_reward/vocab.json
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-bdpo-v3-c2-v4_reward/tokenizer.json
cycy233-l3-bdpo-v3-c2-v4-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-bdpo-v3-c2-v4_reward/reward.tensors
Job cycy233-l3-bdpo-v3-c2-v4-mkmlizer completed after 102.67s with status: succeeded
Stopping job with name cycy233-l3-bdpo-v3-c2-v4-mkmlizer
Pipeline stage MKMLizer completed in 103.99s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.42s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-bdpo-v3-c2-v4
Waiting for inference service cycy233-l3-bdpo-v3-c2-v4 to be ready
Inference service cycy233-l3-bdpo-v3-c2-v4 ready after 40.20979881286621s
Pipeline stage ISVCDeployer completed in 47.18s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.991959571838379s
Received healthy response to inference request in 1.2677011489868164s
Received healthy response to inference request in 1.2615411281585693s
Received healthy response to inference request in 1.2540955543518066s
Received healthy response to inference request in 1.269418716430664s
5 requests
0 failed requests
5th percentile: 1.2555846691131591
10th percentile: 1.2570737838745116
20th percentile: 1.2600520133972168
30th percentile: 1.2627731323242188
40th percentile: 1.2652371406555176
50th percentile: 1.2677011489868164
60th percentile: 1.2683881759643554
70th percentile: 1.2690752029418946
80th percentile: 1.413926887512207
90th percentile: 1.702943229675293
95th percentile: 1.847451400756836
99th percentile: 1.9630579376220703
mean time: 1.4089432239532471
Pipeline stage StressChecker completed in 8.41s
cycy233-l3-bdpo-v3-c2_v4 status is now deployed due to DeploymentManager action
cycy233-l3-bdpo-v3-c2_v4 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cycy233-l3-bdpo-v3-c2_v4
Running pipeline stage ISVCDeleter
Checking if service cycy233-l3-bdpo-v3-c2-v4 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 4.41s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cycy233-l3-bdpo-v3-c2-v4/config.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v3-c2-v4/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v3-c2-v4/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v3-c2-v4/tokenizer.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v3-c2-v4/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cycy233-l3-bdpo-v3-c2-v4_reward/config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v3-c2-v4_reward/merges.txt from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v3-c2-v4_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v3-c2-v4_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v3-c2-v4_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v3-c2-v4_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v3-c2-v4_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 6.72s
cycy233-l3-bdpo-v3-c2_v4 status is now torndown due to DeploymentManager action

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