submission_id: jellywibble-lora-120k-p_2801_v19
developer_uid: chai_backend_admin
best_of: 16
celo_rating: 1242.68
display_name: jellywibble-lora-120k-p_2801_v19
family_friendly_score: 0.0
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|>system<|end_header_id|>\n\nrespond with intelligence<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}:', 'truncate_by_message': False}
generation_params: {'temperature': 0.95, 'top_p': 1.0, 'min_p': 0.08, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|eot_id|>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
is_internal_developer: True
language_model: Jellywibble/lora_120k_pref_data_ep3_stacked_elo_alignment
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: Jellywibble/lora_120k_pr
model_name: jellywibble-lora-120k-p_2801_v19
model_num_parameters: 8030261248.0
model_repo: Jellywibble/lora_120k_pref_data_ep3_stacked_elo_alignment
model_size: 8B
num_battles: 217532
num_wins: 117843
ranking_group: single
reward_formatter: {'bot_template': 'Bot: {message}\n', 'memory_template': '', 'prompt_template': '', 'response_template': 'Bot:', 'truncate_by_message': False, 'user_template': 'User: {message}\n'}
reward_repo: ChaiML/gpt2_xl_pairwise_89m_step_347634
status: torndown
submission_type: basic
timestamp: 2024-07-15T18:02:21+00:00
us_pacific_date: 2024-07-15
win_ratio: 0.5417271941599396
Resubmit model
Running pipeline stage MKMLizer
Starting job with name jellywibble-lora-120k-p-2801-v19-mkmlizer
Waiting for job on jellywibble-lora-120k-p-2801-v19-mkmlizer to finish
jellywibble-lora-120k-p-2801-v19-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jellywibble-lora-120k-p-2801-v19-mkmlizer: ║ _____ __ __ ║
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jellywibble-lora-120k-p-2801-v19-mkmlizer: ║ ║
jellywibble-lora-120k-p-2801-v19-mkmlizer: ║ Version: 0.9.5.post2 ║
jellywibble-lora-120k-p-2801-v19-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
jellywibble-lora-120k-p-2801-v19-mkmlizer: ║ https://mk1.ai ║
jellywibble-lora-120k-p-2801-v19-mkmlizer: ║ ║
jellywibble-lora-120k-p-2801-v19-mkmlizer: ║ The license key for the current software has been verified as ║
jellywibble-lora-120k-p-2801-v19-mkmlizer: ║ belonging to: ║
jellywibble-lora-120k-p-2801-v19-mkmlizer: ║ ║
jellywibble-lora-120k-p-2801-v19-mkmlizer: ║ Chai Research Corp. ║
jellywibble-lora-120k-p-2801-v19-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
jellywibble-lora-120k-p-2801-v19-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
jellywibble-lora-120k-p-2801-v19-mkmlizer: ║ ║
jellywibble-lora-120k-p-2801-v19-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jellywibble-lora-120k-p-2801-v19-mkmlizer: Downloaded to shared memory in 32.593s
jellywibble-lora-120k-p-2801-v19-mkmlizer: quantizing model to /dev/shm/model_cache
jellywibble-lora-120k-p-2801-v19-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jellywibble-lora-120k-p-2801-v19-mkmlizer: model.embed_tokens.weight torch.Size([139542528])
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jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.0.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.0.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.0.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.0.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.0.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.1.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.1.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.1.mlp.up_gate_proj.weight torch.Size([23855104])
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jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.1.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.1.self_attn.qkv_proj.weight torch.Size([5111808])
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jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.10.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.10.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.10.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.10.self_attn.qkv_proj.weight torch.Size([5111808])
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jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.11.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.11.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.11.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.11.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.12.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.12.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.12.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.12.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.12.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.12.self_attn.qkv_proj.weight torch.Size([5111808])
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jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.13.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.13.self_attn.qkv_proj.weight torch.Size([5111808])
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jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.14.self_attn.qkv_proj.weight torch.Size([5111808])
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jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.8.post_attention_layernorm.weight torch.Size([4096])
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jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.9.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.9.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.14.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.14.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.14.mlp.up_gate_proj.weight torch.Size([23855104])
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jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.23.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.23.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.23.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.23.self_attn.o_proj.weight torch.Size([3407872])
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jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.24.mlp.down_proj.weight torch.Size([11927552])
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jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.28.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.28.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.28.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.28.self_attn.qkv_proj.weight torch.Size([5111808])
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jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.29.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.29.mlp.up_gate_proj.weight torch.Size([23855104])
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jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.29.self_attn.qkv_proj.weight torch.Size([5111808])
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jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.30.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.30.self_attn.qkv_proj.weight torch.Size([5111808])
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jellywibble-lora-120k-p-2801-v19-mkmlizer: model.layers.31.self_attn.qkv_proj.weight torch.Size([5111808])
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jellywibble-lora-120k-p-2801-v19-mkmlizer: quantized model in 27.200s
jellywibble-lora-120k-p-2801-v19-mkmlizer: Processed model Jellywibble/lora_120k_pref_data_ep3_stacked_elo_alignment in 59.793s
jellywibble-lora-120k-p-2801-v19-mkmlizer: creating bucket guanaco-mkml-models
jellywibble-lora-120k-p-2801-v19-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jellywibble-lora-120k-p-2801-v19-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jellywibble-lora-120k-p-2801-v19
jellywibble-lora-120k-p-2801-v19-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jellywibble-lora-120k-p-2801-v19/tokenizer_config.json
jellywibble-lora-120k-p-2801-v19-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jellywibble-lora-120k-p-2801-v19/config.json
jellywibble-lora-120k-p-2801-v19-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jellywibble-lora-120k-p-2801-v19/special_tokens_map.json
jellywibble-lora-120k-p-2801-v19-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jellywibble-lora-120k-p-2801-v19/tokenizer.json
jellywibble-lora-120k-p-2801-v19-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jellywibble-lora-120k-p-2801-v19/flywheel_model.0.safetensors
jellywibble-lora-120k-p-2801-v19-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-p-2801-v19-mkmlizer: warnings.warn(
jellywibble-lora-120k-p-2801-v19-mkmlizer: Downloading shards: 0%| | 0/2 [00:00<?, ?it/s] Downloading shards: 50%|█████ | 1/2 [00:05<00:05, 5.36s/it] Downloading shards: 100%|██████████| 2/2 [00:10<00:00, 5.26s/it] Downloading shards: 100%|██████████| 2/2 [00:10<00:00, 5.27s/it]
jellywibble-lora-120k-p-2801-v19-mkmlizer: Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s] Loading checkpoint shards: 50%|█████ | 1/2 [00:00<00:00, 1.90it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 2.86it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 2.66it/s]
jellywibble-lora-120k-p-2801-v19-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
jellywibble-lora-120k-p-2801-v19-mkmlizer: Saving duration: 1.091s
jellywibble-lora-120k-p-2801-v19-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 13.872s
jellywibble-lora-120k-p-2801-v19-mkmlizer: creating bucket guanaco-reward-models
jellywibble-lora-120k-p-2801-v19-mkmlizer: Bucket 's3://guanaco-reward-models/' created
jellywibble-lora-120k-p-2801-v19-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v19_reward
jellywibble-lora-120k-p-2801-v19-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v19_reward/config.json
jellywibble-lora-120k-p-2801-v19-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v19_reward/merges.txt
jellywibble-lora-120k-p-2801-v19-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v19_reward/tokenizer_config.json
jellywibble-lora-120k-p-2801-v19-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v19_reward/vocab.json
jellywibble-lora-120k-p-2801-v19-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v19_reward/special_tokens_map.json
jellywibble-lora-120k-p-2801-v19-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v19_reward/tokenizer.json
jellywibble-lora-120k-p-2801-v19-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v19_reward/reward.tensors
Job jellywibble-lora-120k-p-2801-v19-mkmlizer completed after 122.31s with status: succeeded
Stopping job with name jellywibble-lora-120k-p-2801-v19-mkmlizer
Pipeline stage MKMLizer completed in 123.19s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.13s
Running pipeline stage ISVCDeployer
Creating inference service jellywibble-lora-120k-p-2801-v19
Waiting for inference service jellywibble-lora-120k-p-2801-v19 to be ready
Inference service jellywibble-lora-120k-p-2801-v19 ready after 50.297590017318726s
Pipeline stage ISVCDeployer completed in 57.13s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3145945072174072s
Received healthy response to inference request in 1.3367514610290527s
Received healthy response to inference request in 1.304649829864502s
Received healthy response to inference request in 1.3695178031921387s
Received healthy response to inference request in 1.3532426357269287s
5 requests
0 failed requests
5th percentile: 1.311070156097412
10th percentile: 1.3174904823303222
20th percentile: 1.3303311347961426
30th percentile: 1.3400496959686279
40th percentile: 1.3466461658477784
50th percentile: 1.3532426357269287
60th percentile: 1.3597527027130127
70th percentile: 1.3662627696990968
80th percentile: 1.5585331439971926
90th percentile: 1.9365638256073
95th percentile: 2.1255791664123533
99th percentile: 2.2767914390563964
mean time: 1.5357512474060058
Pipeline stage StressChecker completed in 9.10s
jellywibble-lora-120k-p_2801_v19 status is now deployed due to DeploymentManager action
jellywibble-lora-120k-p_2801_v19 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of jellywibble-lora-120k-p_2801_v19
Running pipeline stage ISVCDeleter
Checking if service jellywibble-lora-120k-p-2801-v19 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 5.14s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key jellywibble-lora-120k-p-2801-v19/config.json from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-p-2801-v19/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-p-2801-v19/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-p-2801-v19/tokenizer.json from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-p-2801-v19/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key jellywibble-lora-120k-p-2801-v19_reward/config.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-p-2801-v19_reward/merges.txt from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-p-2801-v19_reward/reward.tensors from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-p-2801-v19_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-p-2801-v19_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-p-2801-v19_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-p-2801-v19_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 6.90s
jellywibble-lora-120k-p_2801_v19 status is now torndown due to DeploymentManager action