submission_id: jellywibble-lora-120k-pr_7199_v6
developer_uid: Jellywibble
alignment_samples: 0
best_of: 4
celo_rating: 1224.1
display_name: jellywibble-lora-120k-pr_7199_v6
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': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 4, 'max_output_tokens': 64}
is_internal_developer: True
language_model: Jellywibble/lora_120k_pref_data_ep3_stacked_elo_only
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: Jellywibble/lora_120k_pr
model_name: jellywibble-lora-120k-pr_7199_v6
model_num_parameters: 8030261248.0
model_repo: Jellywibble/lora_120k_pref_data_ep3_stacked_elo_only
model_size: 8B
num_battles: 63476
num_wins: 34032
propriety_score: 0.6999818610556866
propriety_total_count: 5513.0
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: ChaiML/reward_gpt2_medium_preference_24m_e2
status: torndown
submission_type: basic
timestamp: 2024-07-14T19:31:13+00:00
us_pacific_date: 2024-07-14
win_ratio: 0.5361396433297624
Resubmit model
Running pipeline stage MKMLizer
Starting job with name jellywibble-lora-120k-pr-7199-v6-mkmlizer
Waiting for job on jellywibble-lora-120k-pr-7199-v6-mkmlizer to finish
jellywibble-lora-120k-pr-7199-v6-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jellywibble-lora-120k-pr-7199-v6-mkmlizer: ║ _____ __ __ ║
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jellywibble-lora-120k-pr-7199-v6-mkmlizer: ║ ║
jellywibble-lora-120k-pr-7199-v6-mkmlizer: ║ Version: 0.9.5.post2 ║
jellywibble-lora-120k-pr-7199-v6-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
jellywibble-lora-120k-pr-7199-v6-mkmlizer: ║ https://mk1.ai ║
jellywibble-lora-120k-pr-7199-v6-mkmlizer: ║ ║
jellywibble-lora-120k-pr-7199-v6-mkmlizer: ║ The license key for the current software has been verified as ║
jellywibble-lora-120k-pr-7199-v6-mkmlizer: ║ belonging to: ║
jellywibble-lora-120k-pr-7199-v6-mkmlizer: ║ ║
jellywibble-lora-120k-pr-7199-v6-mkmlizer: ║ Chai Research Corp. ║
jellywibble-lora-120k-pr-7199-v6-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
jellywibble-lora-120k-pr-7199-v6-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
jellywibble-lora-120k-pr-7199-v6-mkmlizer: ║ ║
jellywibble-lora-120k-pr-7199-v6-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jellywibble-lora-120k-pr-7199-v6-mkmlizer: Downloaded to shared memory in 61.883s
jellywibble-lora-120k-pr-7199-v6-mkmlizer: quantizing model to /dev/shm/model_cache
jellywibble-lora-120k-pr-7199-v6-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jellywibble-lora-120k-pr-7199-v6-mkmlizer: model.embed_tokens.weight torch.Size([139542528])
jellywibble-lora-120k-pr-7199-v6-mkmlizer: model.layers.0.input_layernorm.weight torch.Size([4096])
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jellywibble-lora-120k-pr-7199-v6-mkmlizer: model.layers.21.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-pr-7199-v6-mkmlizer: model.layers.21.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-pr-7199-v6-mkmlizer: model.layers.22.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-pr-7199-v6-mkmlizer: model.layers.22.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-pr-7199-v6-mkmlizer: model.layers.22.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-pr-7199-v6-mkmlizer: model.layers.22.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-pr-7199-v6-mkmlizer: model.layers.22.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-pr-7199-v6-mkmlizer: model.layers.22.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-pr-7199-v6-mkmlizer: model.layers.23.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-pr-7199-v6-mkmlizer: model.layers.23.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-pr-7199-v6-mkmlizer: model.layers.23.mlp.up_gate_proj.weight torch.Size([23855104])
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jellywibble-lora-120k-pr-7199-v6-mkmlizer: model.layers.23.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-pr-7199-v6-mkmlizer: model.layers.23.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-pr-7199-v6-mkmlizer: model.layers.24.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-pr-7199-v6-mkmlizer: model.layers.24.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-pr-7199-v6-mkmlizer: model.layers.24.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-pr-7199-v6-mkmlizer: model.layers.24.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-pr-7199-v6-mkmlizer: model.layers.24.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-pr-7199-v6-mkmlizer: model.layers.24.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-pr-7199-v6-mkmlizer: model.layers.25.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-pr-7199-v6-mkmlizer: model.layers.25.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-pr-7199-v6-mkmlizer: model.layers.25.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-pr-7199-v6-mkmlizer: lm_head.weight torch.Size([139542528])
jellywibble-lora-120k-pr-7199-v6-mkmlizer: model.layers.31.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-pr-7199-v6-mkmlizer: model.layers.31.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-pr-7199-v6-mkmlizer: model.layers.31.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-pr-7199-v6-mkmlizer: model.layers.31.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-pr-7199-v6-mkmlizer: model.norm.weight torch.Size([4096])
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jellywibble-lora-120k-pr-7199-v6-mkmlizer: quantized model in 32.388s
jellywibble-lora-120k-pr-7199-v6-mkmlizer: Processed model Jellywibble/lora_120k_pref_data_ep3_stacked_elo_only in 94.271s
jellywibble-lora-120k-pr-7199-v6-mkmlizer: creating bucket guanaco-mkml-models
jellywibble-lora-120k-pr-7199-v6-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jellywibble-lora-120k-pr-7199-v6-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jellywibble-lora-120k-pr-7199-v6
jellywibble-lora-120k-pr-7199-v6-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jellywibble-lora-120k-pr-7199-v6/config.json
jellywibble-lora-120k-pr-7199-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jellywibble-lora-120k-pr-7199-v6/tokenizer_config.json
jellywibble-lora-120k-pr-7199-v6-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jellywibble-lora-120k-pr-7199-v6/special_tokens_map.json
jellywibble-lora-120k-pr-7199-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jellywibble-lora-120k-pr-7199-v6/tokenizer.json
jellywibble-lora-120k-pr-7199-v6-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jellywibble-lora-120k-pr-7199-v6/flywheel_model.0.safetensors
jellywibble-lora-120k-pr-7199-v6-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
jellywibble-lora-120k-pr-7199-v6-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.
jellywibble-lora-120k-pr-7199-v6-mkmlizer: warnings.warn(
jellywibble-lora-120k-pr-7199-v6-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.
jellywibble-lora-120k-pr-7199-v6-mkmlizer: warnings.warn(
jellywibble-lora-120k-pr-7199-v6-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.
jellywibble-lora-120k-pr-7199-v6-mkmlizer: warnings.warn(
jellywibble-lora-120k-pr-7199-v6-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
jellywibble-lora-120k-pr-7199-v6-mkmlizer: Saving duration: 0.525s
jellywibble-lora-120k-pr-7199-v6-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 6.771s
jellywibble-lora-120k-pr-7199-v6-mkmlizer: creating bucket guanaco-reward-models
jellywibble-lora-120k-pr-7199-v6-mkmlizer: Bucket 's3://guanaco-reward-models/' created
jellywibble-lora-120k-pr-7199-v6-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/jellywibble-lora-120k-pr-7199-v6_reward
jellywibble-lora-120k-pr-7199-v6-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/jellywibble-lora-120k-pr-7199-v6_reward/tokenizer_config.json
jellywibble-lora-120k-pr-7199-v6-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/jellywibble-lora-120k-pr-7199-v6_reward/special_tokens_map.json
jellywibble-lora-120k-pr-7199-v6-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/jellywibble-lora-120k-pr-7199-v6_reward/merges.txt
jellywibble-lora-120k-pr-7199-v6-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/jellywibble-lora-120k-pr-7199-v6_reward/config.json
jellywibble-lora-120k-pr-7199-v6-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/jellywibble-lora-120k-pr-7199-v6_reward/vocab.json
jellywibble-lora-120k-pr-7199-v6-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/jellywibble-lora-120k-pr-7199-v6_reward/tokenizer.json
Job jellywibble-lora-120k-pr-7199-v6-mkmlizer completed after 130.97s with status: succeeded
Stopping job with name jellywibble-lora-120k-pr-7199-v6-mkmlizer
Pipeline stage MKMLizer completed in 131.76s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service jellywibble-lora-120k-pr-7199-v6
Waiting for inference service jellywibble-lora-120k-pr-7199-v6 to be ready
Inference service jellywibble-lora-120k-pr-7199-v6 ready after 190.98860669136047s
Pipeline stage ISVCDeployer completed in 197.95s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.0258090496063232s
Received healthy response to inference request in 1.0896942615509033s
Received healthy response to inference request in 1.2292845249176025s
Received healthy response to inference request in 1.0929534435272217s
Received healthy response to inference request in 1.153376817703247s
5 requests
0 failed requests
5th percentile: 1.090346097946167
10th percentile: 1.0909979343414307
20th percentile: 1.092301607131958
30th percentile: 1.1050381183624267
40th percentile: 1.129207468032837
50th percentile: 1.153376817703247
60th percentile: 1.1837399005889893
70th percentile: 1.2141029834747314
80th percentile: 1.3885894298553467
90th percentile: 1.707199239730835
95th percentile: 1.866504144668579
99th percentile: 1.9939480686187743
mean time: 1.3182236194610595
Pipeline stage StressChecker completed in 7.81s
jellywibble-lora-120k-pr_7199_v6 status is now deployed due to DeploymentManager action
jellywibble-lora-120k-pr_7199_v6 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of jellywibble-lora-120k-pr_7199_v6
Running pipeline stage ISVCDeleter
Checking if service jellywibble-lora-120k-pr-7199-v6 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 6.29s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key jellywibble-lora-120k-pr-7199-v6/config.json from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-pr-7199-v6/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-pr-7199-v6/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-pr-7199-v6/tokenizer.json from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-pr-7199-v6/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key jellywibble-lora-120k-pr-7199-v6_reward/config.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-pr-7199-v6_reward/merges.txt from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-pr-7199-v6_reward/reward.tensors from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-pr-7199-v6_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-pr-7199-v6_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-pr-7199-v6_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-pr-7199-v6_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 6.55s
jellywibble-lora-120k-pr_7199_v6 status is now torndown due to DeploymentManager action

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