submission_id: trace2333-rolebench-llama2-v1_v1
developer_uid: Trace2333
status: inactive
model_repo: Trace2333/rolebench_llama2_v1
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
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}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}####", '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}
reward_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}
timestamp: 2024-07-02T03:38:12+00:00
model_name: trace2333-rolebench-llama2-v1_v1
model_group: Trace2333/rolebench_llam
num_battles: 10443
num_wins: 3998
celo_rating: 1091.51
propriety_score: 0.7083333333333334
propriety_total_count: 5160.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 6738415616.0
best_of: 4
max_input_tokens: 512
max_output_tokens: 64
display_name: trace2333-rolebench-llama2-v1_v1
ineligible_reason: None
language_model: Trace2333/rolebench_llama2_v1
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-07-01
win_ratio: 0.38284018002489706
Resubmit model
Running pipeline stage MKMLizer
Starting job with name trace2333-rolebench-llama2-v1-v1-mkmlizer
Waiting for job on trace2333-rolebench-llama2-v1-v1-mkmlizer to finish
trace2333-rolebench-llama2-v1-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
trace2333-rolebench-llama2-v1-v1-mkmlizer: ║ _____ __ __ ║
trace2333-rolebench-llama2-v1-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
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trace2333-rolebench-llama2-v1-v1-mkmlizer: ║ /___/ ║
trace2333-rolebench-llama2-v1-v1-mkmlizer: ║ ║
trace2333-rolebench-llama2-v1-v1-mkmlizer: ║ Version: 0.8.14 ║
trace2333-rolebench-llama2-v1-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
trace2333-rolebench-llama2-v1-v1-mkmlizer: ║ https://mk1.ai ║
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trace2333-rolebench-llama2-v1-v1-mkmlizer: ║ The license key for the current software has been verified as ║
trace2333-rolebench-llama2-v1-v1-mkmlizer: ║ belonging to: ║
trace2333-rolebench-llama2-v1-v1-mkmlizer: ║ ║
trace2333-rolebench-llama2-v1-v1-mkmlizer: ║ Chai Research Corp. ║
trace2333-rolebench-llama2-v1-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
trace2333-rolebench-llama2-v1-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
trace2333-rolebench-llama2-v1-v1-mkmlizer: ║ ║
trace2333-rolebench-llama2-v1-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
trace2333-rolebench-llama2-v1-v1-mkmlizer: Downloaded to shared memory in 53.908s
trace2333-rolebench-llama2-v1-v1-mkmlizer: quantizing model to /dev/shm/model_cache
trace2333-rolebench-llama2-v1-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
trace2333-rolebench-llama2-v1-v1-mkmlizer: quantized model in 16.241s
trace2333-rolebench-llama2-v1-v1-mkmlizer: Processed model Trace2333/rolebench_llama2_v1 in 70.149s
trace2333-rolebench-llama2-v1-v1-mkmlizer: creating bucket guanaco-mkml-models
trace2333-rolebench-llama2-v1-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
trace2333-rolebench-llama2-v1-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/trace2333-rolebench-llama2-v1-v1
trace2333-rolebench-llama2-v1-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/trace2333-rolebench-llama2-v1-v1/config.json
trace2333-rolebench-llama2-v1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/trace2333-rolebench-llama2-v1-v1/tokenizer.model
trace2333-rolebench-llama2-v1-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/trace2333-rolebench-llama2-v1-v1/special_tokens_map.json
trace2333-rolebench-llama2-v1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/trace2333-rolebench-llama2-v1-v1/tokenizer_config.json
trace2333-rolebench-llama2-v1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/trace2333-rolebench-llama2-v1-v1/tokenizer.json
trace2333-rolebench-llama2-v1-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/trace2333-rolebench-llama2-v1-v1/flywheel_model.0.safetensors
trace2333-rolebench-llama2-v1-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 3%|▎ | 10/291 [00:00<00:03, 93.21it/s] Loading 0: 7%|▋ | 21/291 [00:00<00:02, 91.63it/s] Loading 0: 11%|█ | 31/291 [00:00<00:02, 87.52it/s] Loading 0: 14%|█▎ | 40/291 [00:00<00:02, 85.53it/s] Loading 0: 18%|█▊ | 51/291 [00:00<00:05, 47.41it/s] Loading 0: 20%|█▉ | 58/291 [00:00<00:04, 48.69it/s] Loading 0: 22%|██▏ | 65/291 [00:01<00:04, 53.01it/s] Loading 0: 25%|██▍ | 72/291 [00:01<00:04, 53.92it/s] Loading 0: 28%|██▊ | 81/291 [00:01<00:03, 60.21it/s] Loading 0: 31%|███ | 90/291 [00:01<00:03, 66.16it/s] Loading 0: 34%|███▍ | 99/291 [00:01<00:02, 70.45it/s] Loading 0: 37%|███▋ | 107/291 [00:01<00:04, 42.70it/s] Loading 0: 40%|███▉ | 115/291 [00:02<00:03, 49.00it/s] Loading 0: 43%|████▎ | 124/291 [00:02<00:02, 56.70it/s] Loading 0: 45%|████▌ | 132/291 [00:02<00:02, 61.27it/s] Loading 0: 48%|████▊ | 140/291 [00:02<00:02, 63.25it/s] Loading 0: 51%|█████ | 149/291 [00:02<00:02, 68.30it/s] Loading 0: 55%|█████▍ | 159/291 [00:02<00:02, 45.44it/s] Loading 0: 57%|█████▋ | 166/291 [00:02<00:02, 47.80it/s] Loading 0: 60%|██████ | 175/291 [00:03<00:02, 55.12it/s] Loading 0: 63%|██████▎ | 184/291 [00:03<00:01, 61.78it/s] Loading 0: 66%|██████▋ | 193/291 [00:03<00:01, 67.33it/s] Loading 0: 69%|██████▉ | 202/291 [00:03<00:01, 70.63it/s] Loading 0: 73%|███████▎ | 213/291 [00:03<00:01, 46.51it/s] Loading 0: 76%|███████▌ | 220/291 [00:03<00:01, 47.95it/s] Loading 0: 78%|███████▊ | 228/291 [00:04<00:01, 54.03it/s] Loading 0: 81%|████████▏ | 237/291 [00:04<00:00, 59.04it/s] Loading 0: 85%|████████▍ | 246/291 [00:04<00:00, 63.54it/s] Loading 0: 88%|████████▊ | 256/291 [00:04<00:00, 69.08it/s] Loading 0: 92%|█████████▏| 267/291 [00:06<00:01, 15.96it/s] Loading 0: 95%|█████████▍| 275/291 [00:06<00:00, 20.06it/s] Loading 0: 98%|█████████▊| 285/291 [00:06<00:00, 26.47it/s] /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:919: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
trace2333-rolebench-llama2-v1-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
trace2333-rolebench-llama2-v1-v1-mkmlizer: warnings.warn(
trace2333-rolebench-llama2-v1-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
trace2333-rolebench-llama2-v1-v1-mkmlizer: warnings.warn(
trace2333-rolebench-llama2-v1-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:769: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
trace2333-rolebench-llama2-v1-v1-mkmlizer: warnings.warn(
trace2333-rolebench-llama2-v1-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:468: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
trace2333-rolebench-llama2-v1-v1-mkmlizer: warnings.warn(
Failed to get response for submission neversleep-noromaid-v0-_8068_v108: no entry with id "neversleep-noromaid-v0-_8068_v108" found on database!
trace2333-rolebench-llama2-v1-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
trace2333-rolebench-llama2-v1-v1-mkmlizer: return self.fget.__get__(instance, owner)()
trace2333-rolebench-llama2-v1-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
trace2333-rolebench-llama2-v1-v1-mkmlizer: Saving duration: 1.485s
trace2333-rolebench-llama2-v1-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 5.395s
trace2333-rolebench-llama2-v1-v1-mkmlizer: creating bucket guanaco-reward-models
trace2333-rolebench-llama2-v1-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
trace2333-rolebench-llama2-v1-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/trace2333-rolebench-llama2-v1-v1_reward
trace2333-rolebench-llama2-v1-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/trace2333-rolebench-llama2-v1-v1_reward/config.json
trace2333-rolebench-llama2-v1-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/trace2333-rolebench-llama2-v1-v1_reward/tokenizer_config.json
trace2333-rolebench-llama2-v1-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/trace2333-rolebench-llama2-v1-v1_reward/special_tokens_map.json
trace2333-rolebench-llama2-v1-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/trace2333-rolebench-llama2-v1-v1_reward/merges.txt
trace2333-rolebench-llama2-v1-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/trace2333-rolebench-llama2-v1-v1_reward/vocab.json
trace2333-rolebench-llama2-v1-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/trace2333-rolebench-llama2-v1-v1_reward/tokenizer.json
trace2333-rolebench-llama2-v1-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/trace2333-rolebench-llama2-v1-v1_reward/reward.tensors
Failed to get response for submission neversleep-noromaid-v0-_8068_v105: no entry with id "neversleep-noromaid-v0-_8068_v105" found on database!
Failed to get response for submission mistralai-mixtral-8x7b-_3473_v33: ('http://mistralai-mixtral-8x7b-3473-v33-predictor-default.tenant-chaiml-guanaco.knative.ord1.coreweave.cloud/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:41236->127.0.0.1:8080: read: connection reset by peer\n')
Job trace2333-rolebench-llama2-v1-v1-mkmlizer completed after 182.49s with status: succeeded
Stopping job with name trace2333-rolebench-llama2-v1-v1-mkmlizer
Pipeline stage MKMLizer completed in 183.46s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service trace2333-rolebench-llama2-v1-v1
Waiting for inference service trace2333-rolebench-llama2-v1-v1 to be ready
Failed to get response for submission neversleep-noromaid-v0-_8068_v107: no entry with id "neversleep-noromaid-v0-_8068_v107" found on database!
Failed to get response for submission neversleep-noromaid-v0-_8068_v107: no entry with id "neversleep-noromaid-v0-_8068_v107" found on database!
Inference service trace2333-rolebench-llama2-v1-v1 ready after 100.45682048797607s
Pipeline stage ISVCDeployer completed in 107.57s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.7057104110717773s
Received healthy response to inference request in 1.0013458728790283s
Received healthy response to inference request in 1.0681264400482178s
Received healthy response to inference request in 1.0357928276062012s
Received healthy response to inference request in 1.0118815898895264s
5 requests
0 failed requests
5th percentile: 1.003453016281128
10th percentile: 1.0055601596832275
20th percentile: 1.0097744464874268
30th percentile: 1.0166638374328614
40th percentile: 1.0262283325195312
50th percentile: 1.0357928276062012
60th percentile: 1.0487262725830078
70th percentile: 1.0616597175598144
80th percentile: 1.1956432342529297
90th percentile: 1.4506768226623536
95th percentile: 1.5781936168670654
99th percentile: 1.680207052230835
mean time: 1.16457142829895
Pipeline stage StressChecker completed in 6.69s
trace2333-rolebench-llama2-v1_v1 status is now deployed due to DeploymentManager action
trace2333-rolebench-llama2-v1_v1 status is now inactive due to auto deactivation removed underperforming models

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