developer_uid: shiroe40
submission_id: cycy233-l3-bdpo-v7-c3_v1
model_name: auto
model_group: cycy233/L3-bdpo-v7-c3
status: torndown
timestamp: 2024-07-14T02:31:48+00:00
num_battles: 97655
num_wins: 45338
celo_rating: 1174.15
family_friendly_score: 0.0
submission_type: basic
model_repo: cycy233/L3-bdpo-v7-c3
model_architecture: LlamaForCausalLM
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
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-v7-c3
model_size: 8B
ranking_group: single
us_pacific_date: 2024-07-13
win_ratio: 0.4642670626184015
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-v7-c3-v1-mkmlizer
Waiting for job on cycy233-l3-bdpo-v7-c3-v1-mkmlizer to finish
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: ║ _____ __ __ ║
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: ║ /___/ ║
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: ║ ║
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: ║ Version: 0.9.5.post2 ║
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: ║ https://mk1.ai ║
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: ║ ║
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: ║ The license key for the current software has been verified as ║
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: ║ belonging to: ║
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: ║ ║
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: ║ Chai Research Corp. ║
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: ║ ║
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: Downloaded to shared memory in 38.808s
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.embed_tokens.weight torch.Size([139542528])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.0.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.0.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.0.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.0.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.0.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.0.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.1.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.1.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.1.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.1.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.1.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.1.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.2.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.2.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.2.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.2.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.2.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.2.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.3.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.3.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.3.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.3.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.3.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.3.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.4.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.4.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.4.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.4.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.4.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.4.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.5.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.5.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.5.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.5.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.5.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.5.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.6.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.6.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.9.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.9.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.9.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.9.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.9.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.20.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.20.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.20.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.20.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.21.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.21.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.21.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.21.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.21.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.21.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.22.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.22.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.22.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.22.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.22.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.22.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.23.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.23.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.23.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.23.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.23.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.23.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.24.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.24.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.24.mlp.up_gate_proj.weight torch.Size([23855104])
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cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.24.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.24.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.25.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.25.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.25.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.25.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.25.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.25.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.26.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.26.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.26.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.26.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.26.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.26.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.27.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.27.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.27.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.27.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.27.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.27.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.28.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.28.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.28.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.28.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.28.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.28.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.29.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.29.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.29.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.29.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.29.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.29.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.30.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.30.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.30.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.30.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.30.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.30.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.31.mlp.up_gate_proj.weight torch.Size([23855104])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.31.self_attn.o_proj.weight torch.Size([3407872])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.31.self_attn.qkv_proj.weight torch.Size([5111808])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: lm_head.weight torch.Size([139542528])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.31.input_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.31.mlp.down_proj.weight torch.Size([11927552])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.layers.31.post_attention_layernorm.weight torch.Size([4096])
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: model.norm.weight torch.Size([4096])
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cycy233-l3-bdpo-v7-c3-v1-mkmlizer: quantized model in 30.688s
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: Processed model cycy233/L3-bdpo-v7-c3 in 69.497s
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-bdpo-v7-c3-v1/config.json
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-bdpo-v7-c3-v1/tokenizer_config.json
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-bdpo-v7-c3-v1/tokenizer.json
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-bdpo-v7-c3-v1/flywheel_model.0.safetensors
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-l3-bdpo-v7-c3-v1-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-v7-c3-v1-mkmlizer: warnings.warn(
cycy233-l3-bdpo-v7-c3-v1-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-v7-c3-v1-mkmlizer: warnings.warn(
cycy233-l3-bdpo-v7-c3-v1-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-v7-c3-v1-mkmlizer: warnings.warn(
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: Saving duration: 0.608s
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.840s
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-bdpo-v7-c3-v1_reward
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-bdpo-v7-c3-v1_reward/config.json
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-bdpo-v7-c3-v1_reward/special_tokens_map.json
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-bdpo-v7-c3-v1_reward/tokenizer_config.json
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-bdpo-v7-c3-v1_reward/merges.txt
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-bdpo-v7-c3-v1_reward/vocab.json
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-bdpo-v7-c3-v1_reward/tokenizer.json
cycy233-l3-bdpo-v7-c3-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-bdpo-v7-c3-v1_reward/reward.tensors
Job cycy233-l3-bdpo-v7-c3-v1-mkmlizer completed after 108.44s with status: succeeded
Stopping job with name cycy233-l3-bdpo-v7-c3-v1-mkmlizer
Pipeline stage MKMLizer completed in 109.37s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-bdpo-v7-c3-v1
Waiting for inference service cycy233-l3-bdpo-v7-c3-v1 to be ready
Inference service cycy233-l3-bdpo-v7-c3-v1 ready after 40.23745274543762s
Pipeline stage ISVCDeployer completed in 47.10s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.131279706954956s
Received healthy response to inference request in 1.2864890098571777s
Received healthy response to inference request in 1.2624242305755615s
Received healthy response to inference request in 1.2453858852386475s
Received healthy response to inference request in 1.3171555995941162s
5 requests
0 failed requests
5th percentile: 1.2487935543060302
10th percentile: 1.252201223373413
20th percentile: 1.2590165615081788
30th percentile: 1.2672371864318848
40th percentile: 1.2768630981445312
50th percentile: 1.2864890098571777
60th percentile: 1.2987556457519531
70th percentile: 1.3110222816467285
80th percentile: 1.4799804210662844
90th percentile: 1.8056300640106202
95th percentile: 1.968454885482788
99th percentile: 2.0987147426605226
mean time: 1.4485468864440918
Pipeline stage StressChecker completed in 8.61s
cycy233-l3-bdpo-v7-c3_v1 status is now deployed due to DeploymentManager action
cycy233-l3-bdpo-v7-c3_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cycy233-l3-bdpo-v7-c3_v1
Running pipeline stage ISVCDeleter
Checking if service cycy233-l3-bdpo-v7-c3-v1 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 5.42s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cycy233-l3-bdpo-v7-c3-v1/config.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v7-c3-v1/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v7-c3-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v7-c3-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-bdpo-v7-c3-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cycy233-l3-bdpo-v7-c3-v1_reward/config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v7-c3-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v7-c3-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v7-c3-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v7-c3-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v7-c3-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-bdpo-v7-c3-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 6.32s
cycy233-l3-bdpo-v7-c3_v1 status is now torndown due to DeploymentManager action