submission_id: jellywibble-lora-120k-p_2801_v13
developer_uid: Jellywibble
alignment_samples: 0
best_of: 4
celo_rating: 1232.08
display_name: nitral-ai-hathor-l3-8b-v-01_v1
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}
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': 4, '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: nitral-ai-hathor-l3-8b-v-01_v1
model_num_parameters: 8030261248.0
model_repo: Jellywibble/lora_120k_pref_data_ep3_stacked_elo_alignment
model_size: 8B
num_battles: 90932
num_wins: 49915
propriety_score: 0.7257614213197969
propriety_total_count: 7880.0
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/gpt2_xl_pairwise_89m_step_347634
status: torndown
submission_type: basic
timestamp: 2024-07-14T03:52:26+00:00
us_pacific_date: 2024-07-13
win_ratio: 0.5489266704790393
Resubmit model
Running pipeline stage MKMLizer
Starting job with name jellywibble-lora-120k-p-2801-v13-mkmlizer
Waiting for job on jellywibble-lora-120k-p-2801-v13-mkmlizer to finish
jellywibble-lora-120k-p-2801-v13-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jellywibble-lora-120k-p-2801-v13-mkmlizer: ║     _____            __           __                                ║
jellywibble-lora-120k-p-2801-v13-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
jellywibble-lora-120k-p-2801-v13-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
jellywibble-lora-120k-p-2801-v13-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
jellywibble-lora-120k-p-2801-v13-mkmlizer: ║       /___/                                                         ║
jellywibble-lora-120k-p-2801-v13-mkmlizer: ║                                                                     ║
jellywibble-lora-120k-p-2801-v13-mkmlizer: ║  Version: 0.9.5.post2                                               ║
jellywibble-lora-120k-p-2801-v13-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
jellywibble-lora-120k-p-2801-v13-mkmlizer: ║  https://mk1.ai                                                     ║
jellywibble-lora-120k-p-2801-v13-mkmlizer: ║                                                                     ║
jellywibble-lora-120k-p-2801-v13-mkmlizer: ║  The license key for the current software has been verified as      ║
jellywibble-lora-120k-p-2801-v13-mkmlizer: ║  belonging to:                                                      ║
jellywibble-lora-120k-p-2801-v13-mkmlizer: ║                                                                     ║
jellywibble-lora-120k-p-2801-v13-mkmlizer: ║  Chai Research Corp.                                                ║
jellywibble-lora-120k-p-2801-v13-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
jellywibble-lora-120k-p-2801-v13-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
jellywibble-lora-120k-p-2801-v13-mkmlizer: ║                                                                     ║
jellywibble-lora-120k-p-2801-v13-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jellywibble-lora-120k-p-2801-v13-mkmlizer: Downloaded to shared memory in 53.514s
jellywibble-lora-120k-p-2801-v13-mkmlizer: quantizing model to /dev/shm/model_cache
jellywibble-lora-120k-p-2801-v13-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.embed_tokens.weight torch.Size([139542528])
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jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.0.mlp.down_proj.weight torch.Size([11927552])
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jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.17.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.17.self_attn.o_proj.weight torch.Size([3407872])
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jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.18.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.18.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.18.self_attn.qkv_proj.weight torch.Size([5111808])
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jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.19.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.19.post_attention_layernorm.weight torch.Size([4096])
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jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.19.self_attn.qkv_proj.weight torch.Size([5111808])
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jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.20.input_layernorm.weight torch.Size([4096])
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jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.20.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.20.post_attention_layernorm.weight torch.Size([4096])
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jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.21.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.21.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.21.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.21.self_attn.o_proj.weight torch.Size([3407872])
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             model.layers.23.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.23.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.23.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.23.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.24.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.24.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.24.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.24.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.24.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.24.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.25.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.25.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.25.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.25.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.25.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.25.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.26.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.26.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.26.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.26.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.26.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.26.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.27.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.27.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.27.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.27.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.27.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.27.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.28.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.28.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.28.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.28.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.28.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.28.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.29.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.29.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.29.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.29.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.29.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.29.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.30.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.30.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.30.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.30.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.30.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.30.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.31.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v13-mkmlizer: model.layers.31.self_attn.qkv_proj.weight torch.Size([5111808])
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Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
jellywibble-lora-120k-p-2801-v13-mkmlizer: quantized model in 34.274s
jellywibble-lora-120k-p-2801-v13-mkmlizer: Processed model Jellywibble/lora_120k_pref_data_ep3_stacked_elo_alignment in 87.788s
jellywibble-lora-120k-p-2801-v13-mkmlizer: creating bucket guanaco-mkml-models
jellywibble-lora-120k-p-2801-v13-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jellywibble-lora-120k-p-2801-v13-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jellywibble-lora-120k-p-2801-v13
jellywibble-lora-120k-p-2801-v13-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jellywibble-lora-120k-p-2801-v13/tokenizer_config.json
jellywibble-lora-120k-p-2801-v13-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jellywibble-lora-120k-p-2801-v13/special_tokens_map.json
jellywibble-lora-120k-p-2801-v13-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jellywibble-lora-120k-p-2801-v13/config.json
jellywibble-lora-120k-p-2801-v13-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jellywibble-lora-120k-p-2801-v13/tokenizer.json
jellywibble-lora-120k-p-2801-v13-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jellywibble-lora-120k-p-2801-v13/flywheel_model.0.safetensors
jellywibble-lora-120k-p-2801-v13-mkmlizer: loading reward model from ChaiML/gpt2_xl_pairwise_89m_step_347634
jellywibble-lora-120k-p-2801-v13-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-p-2801-v13-mkmlizer:   warnings.warn(
jellywibble-lora-120k-p-2801-v13-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-p-2801-v13-mkmlizer:   warnings.warn(
jellywibble-lora-120k-p-2801-v13-mkmlizer: 
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jellywibble-lora-120k-p-2801-v13-mkmlizer: 
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jellywibble-lora-120k-p-2801-v13-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
jellywibble-lora-120k-p-2801-v13-mkmlizer: Saving duration: 2.538s
jellywibble-lora-120k-p-2801-v13-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 14.996s
jellywibble-lora-120k-p-2801-v13-mkmlizer: creating bucket guanaco-reward-models
jellywibble-lora-120k-p-2801-v13-mkmlizer: Bucket 's3://guanaco-reward-models/' created
jellywibble-lora-120k-p-2801-v13-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v13_reward
jellywibble-lora-120k-p-2801-v13-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v13_reward/special_tokens_map.json
jellywibble-lora-120k-p-2801-v13-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v13_reward/tokenizer_config.json
jellywibble-lora-120k-p-2801-v13-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v13_reward/config.json
jellywibble-lora-120k-p-2801-v13-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v13_reward/vocab.json
jellywibble-lora-120k-p-2801-v13-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v13_reward/merges.txt
jellywibble-lora-120k-p-2801-v13-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v13_reward/tokenizer.json
jellywibble-lora-120k-p-2801-v13-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v13_reward/reward.tensors
Job jellywibble-lora-120k-p-2801-v13-mkmlizer completed after 181.04s with status: succeeded
Stopping job with name jellywibble-lora-120k-p-2801-v13-mkmlizer
Pipeline stage MKMLizer completed in 181.77s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service jellywibble-lora-120k-p-2801-v13
Waiting for inference service jellywibble-lora-120k-p-2801-v13 to be ready
Inference service jellywibble-lora-120k-p-2801-v13 ready after 40.28862547874451s
Pipeline stage ISVCDeployer completed in 47.07s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1120247840881348s
Received healthy response to inference request in 1.2186837196350098s
Received healthy response to inference request in 1.1621849536895752s
Received healthy response to inference request in 1.1443703174591064s
Received healthy response to inference request in 1.1478900909423828s
5 requests
0 failed requests
5th percentile: 1.1450742721557616
10th percentile: 1.145778226852417
20th percentile: 1.1471861362457276
30th percentile: 1.1507490634918214
40th percentile: 1.1564670085906983
50th percentile: 1.1621849536895752
60th percentile: 1.184784460067749
70th percentile: 1.207383966445923
80th percentile: 1.397351932525635
90th percentile: 1.7546883583068849
95th percentile: 1.9333565711975096
99th percentile: 2.07629114151001
mean time: 1.3570307731628417
Pipeline stage StressChecker completed in 8.06s
jellywibble-lora-120k-p_2801_v13 status is now deployed due to DeploymentManager action
jellywibble-lora-120k-p_2801_v13 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of jellywibble-lora-120k-p_2801_v13
Running pipeline stage ISVCDeleter
Checking if service jellywibble-lora-120k-p-2801-v13 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 4.54s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key jellywibble-lora-120k-p-2801-v13/config.json from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-p-2801-v13/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-p-2801-v13/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-p-2801-v13/tokenizer.json from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-p-2801-v13/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key jellywibble-lora-120k-p-2801-v13_reward/config.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-p-2801-v13_reward/merges.txt from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-p-2801-v13_reward/reward.tensors from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-p-2801-v13_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-p-2801-v13_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-p-2801-v13_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-p-2801-v13_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 7.93s
jellywibble-lora-120k-p_2801_v13 status is now torndown due to DeploymentManager action

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