jellywibble-lora-120k-p_2801

submission_id: jellywibble-lora-120k-p_2801_v15

developer_uid: szzi-ye

alignment_samples: 2211

alignment_score: 0.47599235705731535

best_of: 4

celo_rating: 1230.52

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: False

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: 64660

num_wins: 35185

propriety_score: 0.7305452620434092

propriety_total_count: 5667.0

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: 2024-07-14T19:27:41+00:00

us_pacific_date: 2024-07-14

win_ratio: 0.544154036498608

Resubmit model

Reference Models

Running pipeline stage MKMLizer
Starting job with name jellywibble-lora-120k-p-2801-v15-mkmlizer
Waiting for job on jellywibble-lora-120k-p-2801-v15-mkmlizer to finish
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jellywibble-lora-120k-p-2801-v15-mkmlizer: ║     _____            __           __                                ║
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jellywibble-lora-120k-p-2801-v15-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
jellywibble-lora-120k-p-2801-v15-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
jellywibble-lora-120k-p-2801-v15-mkmlizer: ║       /___/                                                         ║
jellywibble-lora-120k-p-2801-v15-mkmlizer: ║                                                                     ║
jellywibble-lora-120k-p-2801-v15-mkmlizer: ║  Version: 0.9.5.post2                                               ║
jellywibble-lora-120k-p-2801-v15-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
jellywibble-lora-120k-p-2801-v15-mkmlizer: ║  https://mk1.ai                                                     ║
jellywibble-lora-120k-p-2801-v15-mkmlizer: ║                                                                     ║
jellywibble-lora-120k-p-2801-v15-mkmlizer: ║  The license key for the current software has been verified as      ║
jellywibble-lora-120k-p-2801-v15-mkmlizer: ║  belonging to:                                                      ║
jellywibble-lora-120k-p-2801-v15-mkmlizer: ║                                                                     ║
jellywibble-lora-120k-p-2801-v15-mkmlizer: ║  Chai Research Corp.                                                ║
jellywibble-lora-120k-p-2801-v15-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
jellywibble-lora-120k-p-2801-v15-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
jellywibble-lora-120k-p-2801-v15-mkmlizer: ║                                                                     ║
jellywibble-lora-120k-p-2801-v15-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Job jellywibble-lora-120k-p-2801-v15-mkmlizer completed after 92.95s with status: failed
Stopping job with name jellywibble-lora-120k-p-2801-v15-mkmlizer
%s, retrying in %s seconds...
Starting job with name jellywibble-lora-120k-p-2801-v15-mkmlizer
Waiting for job on jellywibble-lora-120k-p-2801-v15-mkmlizer to finish
Connection pool is full, discarding connection: %s. Connection pool size: %s
jellywibble-lora-120k-p-2801-v15-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jellywibble-lora-120k-p-2801-v15-mkmlizer: ║     _____            __           __                                ║
jellywibble-lora-120k-p-2801-v15-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
jellywibble-lora-120k-p-2801-v15-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
jellywibble-lora-120k-p-2801-v15-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
jellywibble-lora-120k-p-2801-v15-mkmlizer: ║       /___/                                                         ║
jellywibble-lora-120k-p-2801-v15-mkmlizer: ║                                                                     ║
jellywibble-lora-120k-p-2801-v15-mkmlizer: ║  Version: 0.9.5.post2                                               ║
jellywibble-lora-120k-p-2801-v15-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
jellywibble-lora-120k-p-2801-v15-mkmlizer: ║  https://mk1.ai                                                     ║
jellywibble-lora-120k-p-2801-v15-mkmlizer: ║                                                                     ║
jellywibble-lora-120k-p-2801-v15-mkmlizer: ║  The license key for the current software has been verified as      ║
jellywibble-lora-120k-p-2801-v15-mkmlizer: ║  belonging to:                                                      ║
jellywibble-lora-120k-p-2801-v15-mkmlizer: ║                                                                     ║
jellywibble-lora-120k-p-2801-v15-mkmlizer: ║  Chai Research Corp.                                                ║
jellywibble-lora-120k-p-2801-v15-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
jellywibble-lora-120k-p-2801-v15-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
jellywibble-lora-120k-p-2801-v15-mkmlizer: ║                                                                     ║
jellywibble-lora-120k-p-2801-v15-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jellywibble-lora-120k-p-2801-v15-mkmlizer: Downloaded to shared memory in 43.969s
jellywibble-lora-120k-p-2801-v15-mkmlizer: quantizing model to /dev/shm/model_cache
jellywibble-lora-120k-p-2801-v15-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.embed_tokens.weight torch.Size([139542528])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.0.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.0.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.0.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.0.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.0.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.0.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.1.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.1.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.1.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.1.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.1.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.1.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.2.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.2.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.2.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.2.post_attention_layernorm.weight torch.Size([4096])
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jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.10.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.10.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.10.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.10.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.11.input_layernorm.weight torch.Size([4096])
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jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.11.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.11.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.11.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.11.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.12.input_layernorm.weight torch.Size([4096])
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jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.12.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.12.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.12.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.12.self_attn.qkv_proj.weight torch.Size([5111808])
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jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.23.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.24.input_layernorm.weight torch.Size([4096])
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jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.24.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.24.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.24.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.24.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.25.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.25.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.25.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.25.input_layernorm.weight torch.Size([4096])
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jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.26.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.26.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.26.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.26.self_attn.qkv_proj.weight torch.Size([5111808])
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jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.27.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.27.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.27.post_attention_layernorm.weight torch.Size([4096])
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jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.29.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.29.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.30.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.30.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.30.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.30.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.30.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.30.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.31.self_attn.o_proj.weight torch.Size([3407872])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.31.self_attn.qkv_proj.weight torch.Size([5111808])
jellywibble-lora-120k-p-2801-v15-mkmlizer: lm_head.weight torch.Size([139542528])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.31.input_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.31.mlp.down_proj.weight torch.Size([11927552])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.31.mlp.up_gate_proj.weight torch.Size([23855104])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.layers.31.post_attention_layernorm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v15-mkmlizer: model.norm.weight torch.Size([4096])
jellywibble-lora-120k-p-2801-v15-mkmlizer:                                              

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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-v15-mkmlizer: quantized model in 32.025s
jellywibble-lora-120k-p-2801-v15-mkmlizer: Processed model Jellywibble/lora_120k_pref_data_ep3_stacked_elo_alignment in 75.995s
jellywibble-lora-120k-p-2801-v15-mkmlizer: creating bucket guanaco-mkml-models
jellywibble-lora-120k-p-2801-v15-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jellywibble-lora-120k-p-2801-v15-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jellywibble-lora-120k-p-2801-v15
jellywibble-lora-120k-p-2801-v15-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jellywibble-lora-120k-p-2801-v15/config.json
jellywibble-lora-120k-p-2801-v15-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jellywibble-lora-120k-p-2801-v15/tokenizer_config.json
jellywibble-lora-120k-p-2801-v15-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jellywibble-lora-120k-p-2801-v15/special_tokens_map.json
jellywibble-lora-120k-p-2801-v15-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jellywibble-lora-120k-p-2801-v15/tokenizer.json
jellywibble-lora-120k-p-2801-v15-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jellywibble-lora-120k-p-2801-v15/flywheel_model.0.safetensors
jellywibble-lora-120k-p-2801-v15-mkmlizer: loading reward model from ChaiML/gpt2_xl_pairwise_89m_step_347634
jellywibble-lora-120k-p-2801-v15-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-v15-mkmlizer:   warnings.warn(
jellywibble-lora-120k-p-2801-v15-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-v15-mkmlizer:   warnings.warn(
jellywibble-lora-120k-p-2801-v15-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-v15-mkmlizer:   warnings.warn(
jellywibble-lora-120k-p-2801-v15-mkmlizer: 
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jellywibble-lora-120k-p-2801-v15-mkmlizer: 
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jellywibble-lora-120k-p-2801-v15-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
jellywibble-lora-120k-p-2801-v15-mkmlizer: Saving duration: 2.211s
jellywibble-lora-120k-p-2801-v15-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 16.258s
jellywibble-lora-120k-p-2801-v15-mkmlizer: creating bucket guanaco-reward-models
jellywibble-lora-120k-p-2801-v15-mkmlizer: Bucket 's3://guanaco-reward-models/' created
jellywibble-lora-120k-p-2801-v15-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v15_reward
jellywibble-lora-120k-p-2801-v15-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v15_reward/config.json
jellywibble-lora-120k-p-2801-v15-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v15_reward/special_tokens_map.json
jellywibble-lora-120k-p-2801-v15-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v15_reward/tokenizer_config.json
jellywibble-lora-120k-p-2801-v15-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v15_reward/merges.txt
jellywibble-lora-120k-p-2801-v15-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v15_reward/vocab.json
jellywibble-lora-120k-p-2801-v15-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v15_reward/tokenizer.json
jellywibble-lora-120k-p-2801-v15-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/jellywibble-lora-120k-p-2801-v15_reward/reward.tensors
Job jellywibble-lora-120k-p-2801-v15-mkmlizer completed after 130.27s with status: succeeded
Stopping job with name jellywibble-lora-120k-p-2801-v15-mkmlizer
Pipeline stage MKMLizer completed in 224.44s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service jellywibble-lora-120k-p-2801-v15
Waiting for inference service jellywibble-lora-120k-p-2801-v15 to be ready
Inference service jellywibble-lora-120k-p-2801-v15 ready after 311.4562430381775s
Pipeline stage ISVCDeployer completed in 318.21s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1367368698120117s
Received healthy response to inference request in 1.683480978012085s
Received healthy response to inference request in 1.1547060012817383s
Received healthy response to inference request in 1.1532988548278809s
Received healthy response to inference request in 1.1510975360870361s
5 requests
0 failed requests
5th percentile: 1.151537799835205
10th percentile: 1.151978063583374
20th percentile: 1.152858591079712
30th percentile: 1.1535802841186524
40th percentile: 1.1541431427001954
50th percentile: 1.1547060012817383
60th percentile: 1.366215991973877
70th percentile: 1.5777259826660155
80th percentile: 1.7741321563720704
90th percentile: 1.955434513092041
95th percentile: 2.0460856914520265
99th percentile: 2.1186066341400145
mean time: 1.4558640480041505
Pipeline stage StressChecker completed in 8.34s
jellywibble-lora-120k-p_2801_v15 status is now deployed due to DeploymentManager action
jellywibble-lora-120k-p_2801_v15 status is now inactive due to auto deactivation removed underperforming models
jellywibble-lora-120k-p_2801_v15 status is now deployed due to admin request
jellywibble-lora-120k-p_2801_v15 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of jellywibble-lora-120k-p_2801_v15
Running pipeline stage ISVCDeleter
Checking if service jellywibble-lora-120k-p-2801-v15 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 4.15s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key jellywibble-lora-120k-p-2801-v15/config.json from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-p-2801-v15/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-p-2801-v15/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-p-2801-v15/tokenizer.json from bucket guanaco-mkml-models
Deleting key jellywibble-lora-120k-p-2801-v15/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key jellywibble-lora-120k-p-2801-v15_reward/config.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-p-2801-v15_reward/merges.txt from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-p-2801-v15_reward/reward.tensors from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-p-2801-v15_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-p-2801-v15_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-p-2801-v15_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key jellywibble-lora-120k-p-2801-v15_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 6.51s
jellywibble-lora-120k-p_2801_v15 status is now torndown due to DeploymentManager action

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Usage Metrics

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Model Developer	Developer Rank	Model Rank	Model Rank By Developer	Elo Rating	Elo Rating By Developer	Alignment Score	Alignment Samples	User Alignment Score	User Alignment Question Responses	Submission ID	Parameters	Huggingface Repository	Variant	Number of Battles	Number of Battles By Developer	Win Ratio	Win Ratio By Developer	Type	Best of	Max Input Tokens	Max Output Tokens	Model Architecture	Model Group	Date	Overall Norm	Elo Norm	Alignment Norm	User Alignment Norm	Alt Ranking	Alt Ranking By Developer	Elo Rank	Alignment Rank	Ranking Group	Thoughput	GPU Counts
zonemercy	1	1.0	1.0	1301.46	1301.46	4.3	30214	0.71	3122.0	zonemercy-graft-cogent-v_7573_v6	13B	zonemercy/Graft-Cogent-v1-Acute-Nemo-v0-5e6ep1	0815v1-7	30214	49272173	0.58	0.64	basic	16.0	512.0	64.0	MistralForCausalLM	zonemercy/Graft-Cogent-v	2024-08-15	2.01	2.29	1.5	0.24	2.0	1.0	2.0	41.0	single	0.94	{'NVIDIA RTX A5000': 1}
zonemercy	1	2.0	1.0	1292.84	1301.46	4.33	30926	0.73	3160.0	zonemercy-cogent-nemo-v1_3266_v8	13B	zonemercy/Cogent-Nemo-v1-1k1e5	0815v1-3	30926	49272173	0.56	0.64	basic	16.0	512.0	64.0	MistralForCausalLM	zonemercy/Cogent-Nemo-v1	2024-08-15	1.89	2.1	1.51	0.34	1.0	1.0	4.0	38.0	single	0.95	{'NVIDIA RTX A5000': 1}
zonemercy	1	3.0	1.0	1294.81	1301.46	4.09	11643	0.75	1177.0	zonemercy-cogent-nemo-v2-5e6_v13	13B	zonemercy/Cogent-Nemo-v2-5e6	0815v1-0	11643	49272173	0.57	0.64	basic	16.0	512.0	64.0	MistralForCausalLM	zonemercy/Cogent-Nemo-v2	2024-08-15	1.89	2.14	1.42	0.43	5.0	1.0	3.0	46.0	single
zonemercy	1	4.0	1.0	1273.7	1301.46	6.07	12026	0.67	1150.0	zonemercy-graft-cogent-v_7573_v2	13B	zonemercy/Graft-Cogent-v1-Acute-Nemo-v0-5e6ep1	zonemercy-graft-cogent-v_7573_v2	12026	49272173	0.58	0.64	basic	16.0	512.0	64.0	MistralForCausalLM	zonemercy/Graft-Cogent-v	2024-08-14	1.85	1.67	2.19	0.02	4.0	1.0	36.5	10.0	single
zonemercy	1	5.0	1.0	1270.85	1301.46	6.18	12379	0.68	1334.0	zonemercy-graft-cogent-v_7573_v5	13B	zonemercy/Graft-Cogent-v1-Acute-Nemo-v0-5e6ep1	zonemercy-graft-cogent-v_7573_v5	12379	49272173	0.56	0.64	basic	8.0	1024.0	64.0	MistralForCausalLM	zonemercy/Graft-Cogent-v	2024-08-14	1.83	1.61	2.23	0.06	11.0	1.0	54.0	8.0	single
zonemercy	1	6.0	1.0	1285.61	1301.46	4.44	30852	0.72	3156.0	zonemercy-graft-cogent-n_9815_v2	13B	zonemercy/Graft-Cogent-Nemo-v2.1-5e6	0815v1-8	30852	49272173	0.55	0.64	basic	16.0	512.0	64.0	MistralForCausalLM	zonemercy/Graft-Cogent-N	2024-08-15	1.8	1.94	1.56	0.28	3.0	1.0	12.0	33.0	single
zonemercy	1	7.0	1.0	1284.56	1301.46	4.42	28821	0.71	2895.0	zonemercy-graft-cogent-n_9815_v5	13B	zonemercy/Graft-Cogent-Nemo-v2.1-5e6	0815v1-3	28821	49272173	0.55	0.64	basic	16.0	512.0	64.0	MistralForCausalLM	zonemercy/Graft-Cogent-N	2024-08-15	1.79	1.91	1.55	0.25	6.0	1.0	15.0	36.0	single
zonemercy	1	8.0	1.0	1290.49	1301.46	3.68	10195	0.7	912.0	zonemercy-graft-cogent-v_7573_v7	13B	zonemercy/Graft-Cogent-v1-Acute-Nemo-v0-5e6ep1	0815v1-7	10195	49272173	0.57	0.64	basic	16.0	512.0	64.0	MistralForCausalLM	zonemercy/Graft-Cogent-v	2024-08-21	1.77	2.04	1.26	0.18	13.0	1.0	7.0	60.0	single
zonemercy	1	9.0	1.0	1269.88	1301.46	5.73	10662	0.68	1236.0	zonemercy-graft-cogent-v_7573_v4	13B	zonemercy/Graft-Cogent-v1-Acute-Nemo-v0-5e6ep1	zonemercy-graft-cogent-v_7573_v4	10662	49272173	0.56	0.64	basic	16.0	512.0	64.0	MistralForCausalLM	zonemercy/Graft-Cogent-v	2024-08-14	1.75	1.59	2.06	0.07	17.0	1.0	66.0	15.0	single
zonemercy	1	10.0	1.0	1284.52	1301.46	4.17	9822	0.72	899.0	zonemercy-cogent-nemo-v2-5e6_v14	13B	zonemercy/Cogent-Nemo-v2-5e6	0815v1-1	9822	49272173	0.56	0.64	basic	16.0	512.0	64.0	MistralForCausalLM	zonemercy/Cogent-Nemo-v2	2024-08-15	1.75	1.91	1.45	0.29	8.0	1.0	16.0	43.0	single
zonemercy	1	11.0	1.0	1269.02	1301.46	5.73	11079	0.7	1211.0	zonemercy-graft-cogent-v_7573_v3	13B	zonemercy/Graft-Cogent-v1-Acute-Nemo-v0-5e6ep1	zonemercy-graft-cogent-v_7573_v3	11079	49272173	0.56	0.64	basic	16.0	512.0	64.0	MistralForCausalLM	zonemercy/Graft-Cogent-v	2024-08-14	1.74	1.57	2.06	0.21	19.0	1.0	70.0	14.0	single
zonemercy	1	12.0	1.0	1278.53	1301.46	4.58	9715	0.68	893.0	zonemercy-lexical-nemo-_1518_v20	13B	zonemercy/Lexical-Nemo-v4-1k1e5	0815v2-0	9715	49272173	0.56	0.64	basic	16.0	512.0	64.0	MistralForCausalLM	zonemercy/Lexical-Nemo-v	2024-08-15	1.72	1.78	1.61	0.09	7.0	1.0	27.0	28.0	single
zonemercy	1	13.0	1.0	1280.15	1301.46	4.34	16560	0.7	1711.0	zonemercy-cogent-nemo-v2-5e6_v15	13B	zonemercy/Cogent-Nemo-v2-5e6	0815v1-2	16560	49272173	0.55	0.64	basic	8.0	1024.0	64.0	MistralForCausalLM	zonemercy/Cogent-Nemo-v2	2024-08-15	1.71	1.81	1.52	0.19	11.0	1.0	25.0	37.0	single
zonemercy	1	14.0	1.0	1277.75	1301.46	4.44	9736	0.71	904.0	zonemercy-acute-nemo-v1-_4488_v7	13B	zonemercy/Acute-Nemo-v1-1e5ep1	0815v1-2	9736	49272173	0.56	0.64	basic	16.0	512.0	64.0	MistralForCausalLM	zonemercy/Acute-Nemo-v1-	2024-08-15	1.69	1.76	1.56	0.24	11.0	1.0	28.0	34.0	single
zonemercy	1	15.0	1.0	1276.0	1301.46	4.51	9384	0.73	953.0	zonemercy-lexical-nemov8_5966_v4	13B	zonemercy/Lexical-Nemov8-1k1e5	0815v2-1	9384	49272173	0.56	0.64	basic	16.0	512.0	64.0	MistralForCausalLM	zonemercy/Lexical-Nemov8	2024-08-15	1.67	1.72	1.59	0.34	9.0	1.0	31.0	30.0	single
zonemercy	1	16.0	1.0	1280.76	1301.46	3.94	10939	0.75	985.0	zonemercy-lexical-nemov8_5966_v6	13B	zonemercy/Lexical-Nemov8-1k1e5	0815v2-3	10939	49272173	0.57	0.64	basic	16.0	512.0	64.0	MistralForCausalLM	zonemercy/Lexical-Nemov8	2024-08-16	1.66	1.83	1.36	0.44	15.0	1.0	22.0	54.0	single
zonemercy	1	17.0	1.0	1264.13	1301.46	5.71	13378	0.72	1224.0	zonemercy-cogent-nemo-v1_3266_v6	13B	zonemercy/Cogent-Nemo-v1-1k1e5	zonemercy-cogent-nemo-v1_3266_v6	13378	49272173	0.56	0.64	basic	8.0	1024.0	64.0	MistralForCausalLM	zonemercy/Cogent-Nemo-v1	2024-08-14	1.66	1.46	2.05	0.32	25.0	1.0	121.0	16.0	single
zonemercy	1	18.0	1.0	1271.01	1301.46	4.88	11842	0.67	1121.0	zonemercy-graft-cogent-v_7573_v1	13B	zonemercy/Graft-Cogent-v1-Acute-Nemo-v0-5e6ep1	0814v1-5	11842	49272173	0.56	0.64	basic	16.0	512.0	64.0	MistralForCausalLM	zonemercy/Graft-Cogent-v	2024-08-14	1.65	1.61	1.73	0.04	14.0	1.0	51.0	24.0	single
zonemercy	1	19.0	1.0	1256.9	1301.46	6.24	11538	0.7	1049.0	zonemercy-cogent-nemo-v1_4327_v4	13B	zonemercy/Cogent-Nemo-v1-1k1e5-ep1	zonemercy-cogent-nemo-v1_4327_v4	11538	49272173	0.54	0.64	basic	8.0	1024.0	64.0	MistralForCausalLM	zonemercy/Cogent-Nemo-v1	2024-08-10	1.63	1.3	2.25	0.17	39.0	1.0	240.0	7.0	single
zonemercy	1	20.0	1.0	1261.43	1301.46	5.68	13593	0.74	1206.0	zonemercy-cogent-nemo-v1_4327_v5	13B	zonemercy/Cogent-Nemo-v1-1k1e5-ep1	zonemercy-cogent-nemo-v1_4327_v5	13593	49272173	0.55	0.64	basic	8.0	1024.0	64.0	MistralForCausalLM	zonemercy/Cogent-Nemo-v1	2024-08-14	1.62	1.4	2.04	0.39	34.0	1.0	161.0	17.0	single
zonemercy	1	21.0	1.0	1272.13	1301.46	4.46	16913	0.73	1699.0	zonemercy-graft-cogent-n_9815_v9	13B	zonemercy/Graft-Cogent-Nemo-v2.1-5e6	0815v1-3	16913	49272173	0.54	0.64	basic	8.0	1024.0	64.0	MistralForCausalLM	zonemercy/Graft-Cogent-N	2024-08-15	1.61	1.64	1.56	0.36	16.0	1.0	45.5	32.0	single
zonemercy	1	22.0	1.0	1277.43	1301.46	3.74	10445	0.76	907.0	zonemercy-lexical-nemo-_1518_v22	13B	zonemercy/Lexical-Nemo-v4-1k1e5	0815v2-2	10445	49272173	0.56	0.64	basic	16.0	512.0	64.0	MistralForCausalLM	zonemercy/Lexical-Nemo-v	2024-08-16	1.59	1.75	1.28	0.49	20.0	1.0	29.0	58.0	single
zonemercy	1	23.0	1.0	1273.46	1301.46	4.12	10476	0.7	958.0	zonemercy-lexical-nemo-_1518_v21	13B	zonemercy/Lexical-Nemo-v4-1k1e5	0815v2-0	10476	49272173	0.55	0.64	basic	8.0	1024.0	64.0	MistralForCausalLM	zonemercy/Lexical-Nemo-v	2024-08-16	1.58	1.67	1.43	0.17	18.0	1.0	38.0	45.0	single
zonemercy	1	24.0	1.0	1270.37	1301.46	4.44	9935	0.72	1002.0	zonemercy-acute-nemo-v1-_4488_v6	13B	zonemercy/Acute-Nemo-v1-1e5ep1	0815v1-1	9935	49272173	0.55	0.64	basic	16.0	512.0	64.0	MistralForCausalLM	zonemercy/Acute-Nemo-v1-	2024-08-15	1.58	1.6	1.56	0.31	21.0	1.0	59.0	35.0	single
zonemercy	1	25.0	1.0	1268.9	1301.46	4.47	9890	0.73	1015.0	zonemercy-lexical-nemov8_5966_v8	13B	zonemercy/Lexical-Nemov8-1k1e5	0815v2-1	9890	49272173	0.55	0.64	basic	8.0	1024.0	64.0	MistralForCausalLM	zonemercy/Lexical-Nemov8	2024-08-21	1.57	1.56	1.57	0.34	22.0	1.0	72.5	31.0	single
zonemercy	1	26.0	1.0	1253.1	1301.46	6.09	9499	0.71	1087.0	zonemercy-acute-nemo-v1-_4488_v3	13B	zonemercy/Acute-Nemo-v1-1e5ep1	zonemercy-acute-nemo-v1-_4488_v3	9499	49272173	0.54	0.64	basic	16.0	512.0	64.0	MistralForCausalLM	zonemercy/Acute-Nemo-v1-	2024-08-14	1.56	1.21	2.2	0.26	48.0	1.0	308.0	9.0	single
zonemercy	1	27.0	1.0	1269.68	1301.46	4.31	10233	0.73	960.0	zonemercy-graft-virgo-v1_3528_v1	13B	zonemercy/Graft-Virgo-v1-Acute-v1	zonemercy-graft-virgo-v1_3528_v1	10233	49272173	0.55	0.64	basic	8.0	1024.0	64.0	MistralForCausalLM	zonemercy/Graft-Virgo-v1	2024-08-21	1.56	1.58	1.51	0.34	23.5	1.0	67.0	40.0	single
zonemercy	1	28.0	1.0	1270.72	1301.46	4.03	10540	0.74	966.0	zonemercy-lexical-nemov8_5966_v5	13B	zonemercy/Lexical-Nemov8-1k1e5	0815v2-1	10540	49272173	0.55	0.64	basic	8.0	1024.0	64.0	MistralForCausalLM	zonemercy/Lexical-Nemov8	2024-08-16	1.53	1.61	1.4	0.41	23.5	1.0	55.0	52.0	single
zonemercy	1	29.0	1.0	1256.33	1301.46	5.55	9360	0.69	891.0	zonemercy-cogent-nemo-v1_3266_v7	13B	zonemercy/Cogent-Nemo-v1-1k1e5	0814v1-7	9360	49272173	0.54	0.64	basic	16.0	512.0	64.0	MistralForCausalLM	zonemercy/Cogent-Nemo-v1	2024-08-14	1.53	1.29	1.99	0.13	42.0	1.0	250.0	20.0	single
zonemercy	1	30.0	1.0	1292.06	1301.46	1.72	106640	0.71	11368.0	zonemercy-cogent-nemo-v2-5e6_v18	13B	zonemercy/Cogent-Nemo-v2-5e6	0815v3-2	106640	49272173	0.5	0.64	basic	16.0	1024.0	64.0	MistralForCausalLM	zonemercy/Cogent-Nemo-v2	2024-08-16	1.53	2.08	0.5	0.26	31.0	1.0	5.0	161.0	single
zonemercy	1	31.0	1.0	1291.25	1301.46	1.77	108706	0.71	10227.0	zonemercy-cogent-nemo-v2-5e6_v17	13B	zonemercy/Cogent-Nemo-v2-5e6	0815v3-2	108706	49272173	0.5	0.64	basic	16.0	1024.0	64.0	MistralForCausalLM	zonemercy/Cogent-Nemo-v2	2024-08-16	1.52	2.06	0.52	0.23	30.0	1.0	6.0	156.0	single
zonemercy	1	32.0	1.0	1248.17	1301.46	6.26	165840	0.73	16061.0	zonemercy-lexical-nemov8_5966_v1	13B	zonemercy/Lexical-Nemov8-1k1e5	0805v2-4	175556	49272173	0.54	0.64	basic	4.0	1024.0	64.0	MistralForCausalLM	zonemercy/Lexical-Nemov8	2024-08-05	1.51	1.11	2.26	0.33	62.0	1.0	397.5	6.0	single
chai_backend_admin	2	33.0	33.0	1303.02	1303.02	0.01	5613	0.72	1655.0	blend_porer_2024-07-23	n/a		fourier-routed_blend	18746	210497178	0.63	1.0	routed_blend						2024-07-23	1.45	2.32	-0.16	0.29	57.0	28.0	1.0	389.0	blended
chai_backend_admin	2	34.0	33.0	1266.28	1303.02	3.88	10609	0.74	984.0	blend_domul_2024-08-22	n/a		blend_domul_2024-08-22	10609	210497178	0.54	1.0	blend						2024-08-21	1.45	1.51	1.34	0.38	28.0	28.0	96.0	55.0	blended
zonemercy	1	35.0	1.0	1256.36	1301.46	4.81	9553	0.71	830.0	zonemercy-lexical-nemov8_5966_v7	13B	zonemercy/Lexical-Nemov8-1k1e5	0815v2-1	9553	49272173	0.53	0.64	basic	8.0	1024.0	64.0	MistralForCausalLM	zonemercy/Lexical-Nemov8	2024-08-20	1.43	1.29	1.7	0.23	43.0	1.0	248.0	26.0	single
zonemercy	1	36.0	1.0	1248.17	1301.46	5.59	12094	0.68	1111.0	zonemercy-graft-cogent-v_3240_v1	13B	zonemercy/Graft-Cogent-v1-Acute-Nemo-v1-1e5ep1	0814v1-6	12094	49272173	0.53	0.64	basic	16.0	512.0	64.0	MistralForCausalLM	zonemercy/Graft-Cogent-v	2024-08-14	1.42	1.11	2.0	0.07	64.0	1.0	397.5	18.0	single
zonemercy	1	37.0	1.0	1268.95	1301.46	3.31	10529	0.73	1021.0	zonemercy-graft-virgo-v1_16_v1	13B	zonemercy/Graft-Virgo-v1-base-v1	zonemercy-graft-virgo-v1_16_v1	10529	49272173	0.55	0.64	basic	8.0	1024.0	64.0	MistralForCausalLM	zonemercy/Graft-Virgo-v1	2024-08-22	1.41	1.57	1.12	0.34	26.0	1.0	71.0	72.0	single
zonemercy	1	38.0	1.0	1280.35	1301.46	2.08	153293	0.72	14605.0	zonemercy-acute-nemo-v1-_4488_v4	13B	zonemercy/Acute-Nemo-v1-1e5ep1	0815v1-1	153293	49272173	0.51	0.64	basic	16.0	512.0	64.0	MistralForCausalLM	zonemercy/Acute-Nemo-v1-	2024-08-15	1.41	1.82	0.64	0.28	27.0	1.0	23.0	127.0	single
zonemercy	1	39.0	1.0	1248.93	1301.46	5.38	12373	0.71	1412.0	zonemercy-acute-nemo-v1-_4488_v1	13B	zonemercy/Acute-Nemo-v1-1e5ep1	0814v1-2	12373	49272173	0.53	0.64	basic	16.0	512.0	64.0	MistralForCausalLM	zonemercy/Acute-Nemo-v1-	2024-08-14	1.4	1.12	1.92	0.26	60.0	1.0	378.0	21.0	single
zonemercy	1	40.0	1.0	1279.87	1301.46	2.07	152943	0.72	14466.0	zonemercy-acute-nemo-v1-_4488_v5	13B	zonemercy/Acute-Nemo-v1-1e5ep1	0815v1-2	152943	49272173	0.51	0.64	basic	16.0	512.0	64.0	MistralForCausalLM	zonemercy/Acute-Nemo-v1-	2024-08-15	1.4	1.81	0.64	0.27	29.0	1.0	26.0	131.0	single