submission_id: nitral-ai-hathor-l3-8b-v-02_v10
developer_uid: Nitral-AI
status: inactive
model_repo: Nitral-AI/Hathor-L3-8B-v.02
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
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', '<|end_header_id|>', '<|eot_id|>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
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}
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: 2024-06-14T17:26:05+00:00
model_name: nitral-ai-hathor-l3-8b-v-02_ok
model_eval_status: success
model_group: Nitral-AI/Hathor-L3-8B-v
num_battles: 18709
num_wins: 9792
celo_rating: 1208.8
propriety_score: 0.7090096447894613
propriety_total_count: 8502.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: nitral-ai-hathor-l3-8b-v-02_ok
ineligible_reason: None
language_model: Nitral-AI/Hathor-L3-8B-v.02
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-14
win_ratio: 0.5233844673686461
Resubmit model
Running pipeline stage MKMLizer
Starting job with name nitral-ai-hathor-l3-8b-v-02-v10-mkmlizer
Waiting for job on nitral-ai-hathor-l3-8b-v-02-v10-mkmlizer to finish
nitral-ai-hathor-l3-8b-v-02-v10-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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nitral-ai-hathor-l3-8b-v-02-v10-mkmlizer: ║ Version: 0.8.14 ║
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nitral-ai-hathor-l3-8b-v-02-v10-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
nitral-ai-hathor-l3-8b-v-02-v10-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_deprecation.py:131: FutureWarning: 'list_files_info' (from 'huggingface_hub.hf_api') is deprecated and will be removed from version '0.23'. Use `list_repo_tree` and `get_paths_info` instead.
nitral-ai-hathor-l3-8b-v-02-v10-mkmlizer: warnings.warn(warning_message, FutureWarning)
nitral-ai-hathor-l3-8b-v-02-v10-mkmlizer: Downloaded to shared memory in 53.020s
nitral-ai-hathor-l3-8b-v-02-v10-mkmlizer: quantizing model to /dev/shm/model_cache
nitral-ai-hathor-l3-8b-v-02-v10-mkmlizer: Saving flywheel model at /dev/shm/model_cache
nitral-ai-hathor-l3-8b-v-02-v10-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 1%| | 2/291 [00:04<12:01, 2.50s/it] Loading 0: 2%|▏ | 5/291 [00:05<03:56, 1.21it/s] Loading 0: 4%|▍ | 13/291 [00:05<01:06, 4.17it/s] Loading 0: 8%|▊ | 23/291 [00:05<00:29, 9.03it/s] Loading 0: 11%|█▏ | 33/291 [00:05<00:17, 15.15it/s] Loading 0: 16%|█▌ | 47/291 [00:05<00:09, 26.13it/s] Loading 0: 20%|█▉ | 58/291 [00:05<00:06, 35.34it/s] Loading 0: 23%|██▎ | 68/291 [00:06<00:08, 25.53it/s] Loading 0: 26%|██▌ | 76/291 [00:06<00:07, 27.63it/s] Loading 0: 30%|██▉ | 86/291 [00:06<00:05, 35.67it/s] Loading 0: 33%|███▎ | 96/291 [00:06<00:04, 44.35it/s] Loading 0: 38%|███▊ | 112/291 [00:06<00:02, 61.34it/s] Loading 0: 42%|████▏ | 122/291 [00:06<00:02, 67.86it/s] Loading 0: 45%|████▌ | 132/291 [00:07<00:02, 73.58it/s] Loading 0: 51%|█████ | 148/291 [00:07<00:01, 88.96it/s] Loading 0: 55%|█████▍ | 159/291 [00:07<00:01, 88.41it/s] Loading 0: 58%|█████▊ | 170/291 [00:07<00:02, 54.19it/s] Loading 0: 63%|██████▎ | 184/291 [00:07<00:01, 66.25it/s] Loading 0: 67%|██████▋ | 194/291 [00:07<00:01, 71.99it/s] Loading 0: 70%|███████ | 204/291 [00:08<00:01, 77.07it/s] Loading 0: 76%|███████▌ | 220/291 [00:08<00:00, 91.77it/s] Loading 0: 79%|███████▉ | 231/291 [00:08<00:00, 90.54it/s] Loading 0: 84%|████████▍ | 244/291 [00:08<00:00, 100.03it/s] Loading 0: 88%|████████▊ | 256/291 [00:08<00:00, 104.75it/s] Loading 0: 92%|█████████▏| 268/291 [00:09<00:00, 51.00it/s] Loading 0: 95%|█████████▌| 277/291 [00:09<00:00, 44.30it/s] Loading 0: 98%|█████████▊| 284/291 [00:09<00:00, 43.90it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
nitral-ai-hathor-l3-8b-v-02-v10-mkmlizer: quantized model in 26.740s
nitral-ai-hathor-l3-8b-v-02-v10-mkmlizer: Processed model Nitral-AI/Hathor-L3-8B-v.02 in 82.552s
nitral-ai-hathor-l3-8b-v-02-v10-mkmlizer: creating bucket guanaco-mkml-models
nitral-ai-hathor-l3-8b-v-02-v10-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
nitral-ai-hathor-l3-8b-v-02-v10-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/nitral-ai-hathor-l3-8b-v-02-v10
nitral-ai-hathor-l3-8b-v-02-v10-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/nitral-ai-hathor-l3-8b-v-02-v10/config.json
nitral-ai-hathor-l3-8b-v-02-v10-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/nitral-ai-hathor-l3-8b-v-02-v10/special_tokens_map.json
nitral-ai-hathor-l3-8b-v-02-v10-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/nitral-ai-hathor-l3-8b-v-02-v10/tokenizer_config.json
nitral-ai-hathor-l3-8b-v-02-v10-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/nitral-ai-hathor-l3-8b-v-02-v10/tokenizer.json
nitral-ai-hathor-l3-8b-v-02-v10-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/nitral-ai-hathor-l3-8b-v-02-v10/flywheel_model.0.safetensors
nitral-ai-hathor-l3-8b-v-02-v10-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
nitral-ai-hathor-l3-8b-v-02-v10-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:913: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
nitral-ai-hathor-l3-8b-v-02-v10-mkmlizer: warnings.warn(
nitral-ai-hathor-l3-8b-v-02-v10-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:757: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
nitral-ai-hathor-l3-8b-v-02-v10-mkmlizer: warnings.warn(
nitral-ai-hathor-l3-8b-v-02-v10-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.
nitral-ai-hathor-l3-8b-v-02-v10-mkmlizer: warnings.warn(
nitral-ai-hathor-l3-8b-v-02-v10-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()
nitral-ai-hathor-l3-8b-v-02-v10-mkmlizer: return self.fget.__get__(instance, owner)()
nitral-ai-hathor-l3-8b-v-02-v10-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
nitral-ai-hathor-l3-8b-v-02-v10-mkmlizer: creating bucket guanaco-reward-models
nitral-ai-hathor-l3-8b-v-02-v10-mkmlizer: Bucket 's3://guanaco-reward-models/' created
nitral-ai-hathor-l3-8b-v-02-v10-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/nitral-ai-hathor-l3-8b-v-02-v10_reward
nitral-ai-hathor-l3-8b-v-02-v10-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/nitral-ai-hathor-l3-8b-v-02-v10_reward/tokenizer_config.json
nitral-ai-hathor-l3-8b-v-02-v10-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/nitral-ai-hathor-l3-8b-v-02-v10_reward/special_tokens_map.json
nitral-ai-hathor-l3-8b-v-02-v10-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/nitral-ai-hathor-l3-8b-v-02-v10_reward/config.json
nitral-ai-hathor-l3-8b-v-02-v10-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/nitral-ai-hathor-l3-8b-v-02-v10_reward/vocab.json
nitral-ai-hathor-l3-8b-v-02-v10-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/nitral-ai-hathor-l3-8b-v-02-v10_reward/merges.txt
nitral-ai-hathor-l3-8b-v-02-v10-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/nitral-ai-hathor-l3-8b-v-02-v10_reward/tokenizer.json
nitral-ai-hathor-l3-8b-v-02-v10-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/nitral-ai-hathor-l3-8b-v-02-v10_reward/reward.tensors
Job nitral-ai-hathor-l3-8b-v-02-v10-mkmlizer completed after 124.52s with status: succeeded
Stopping job with name nitral-ai-hathor-l3-8b-v-02-v10-mkmlizer
Pipeline stage MKMLizer completed in 127.78s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service nitral-ai-hathor-l3-8b-v-02-v10
Waiting for inference service nitral-ai-hathor-l3-8b-v-02-v10 to be ready
Inference service nitral-ai-hathor-l3-8b-v-02-v10 ready after 40.36107063293457s
Pipeline stage ISVCDeployer completed in 48.40s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2006137371063232s
Received healthy response to inference request in 1.352588176727295s
Received healthy response to inference request in 1.3473765850067139s
Received healthy response to inference request in 1.3087785243988037s
Received healthy response to inference request in 1.3679354190826416s
5 requests
0 failed requests
5th percentile: 1.3164981365203858
10th percentile: 1.3242177486419677
20th percentile: 1.3396569728851317
30th percentile: 1.34841890335083
40th percentile: 1.3505035400390626
50th percentile: 1.352588176727295
60th percentile: 1.3587270736694337
70th percentile: 1.3648659706115722
80th percentile: 1.5344710826873782
90th percentile: 1.8675424098968507
95th percentile: 2.0340780735015866
99th percentile: 2.167306604385376
mean time: 1.5154584884643554
Pipeline stage StressChecker completed in 8.19s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.04s
M-Eval Dataset for topic stay_in_character is loaded
nitral-ai-hathor-l3-8b-v-02_v10 status is now deployed due to DeploymentManager action
nitral-ai-hathor-l3-8b-v-02_v10 status is now inactive due to auto deactivation removed underperforming models

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