submission_id: cgato-thesalt-rp-l3-8b-d_1612_v2
developer_uid: c.gato
best_of: 16
celo_rating: 1201.05
display_name: cgato-thesalt-rp-l3-8b-d_1612_v2
family_friendly_score: 0.0
formatter: {'memory_template': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{bot_name}:', 'truncate_by_message': True}
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 100, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '\\r', '\\r\n', '\n\n', 'You:'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
is_internal_developer: False
language_model: cgato/TheSalt-RP-L3-8b-DPO-v0.3.2-e0.6.2
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: cgato/TheSalt-RP-L3-8b-D
model_name: cgato-thesalt-rp-l3-8b-d_1612_v2
model_num_parameters: 8030294016.0
model_repo: cgato/TheSalt-RP-L3-8b-DPO-v0.3.2-e0.6.2
model_size: 8B
num_battles: 16673
num_wins: 8961
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': True, 'user_template': '{user_name}: {message}\n'}
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
status: torndown
submission_type: basic
timestamp: 2024-07-03T03:57:16+00:00
us_pacific_date: 2024-07-02
win_ratio: 0.5374557668086127
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer
Waiting for job on cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer to finish
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ _____ __ __ ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ /___/ ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ Version: 0.8.14 ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ https://mk1.ai ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ belonging to: ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ Chai Research Corp. ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: Downloaded to shared memory in 52.524s
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 4%|▍ | 13/291 [00:00<00:02, 119.25it/s] Loading 0: 10%|▉ | 28/291 [00:00<00:01, 135.61it/s] Loading 0: 14%|█▍ | 42/291 [00:00<00:02, 123.82it/s] Loading 0: 20%|█▉ | 57/291 [00:00<00:01, 119.09it/s] Loading 0: 24%|██▍ | 70/291 [00:00<00:01, 120.02it/s] Loading 0: 29%|██▊ | 83/291 [00:00<00:02, 70.47it/s] Loading 0: 32%|███▏ | 94/291 [00:01<00:02, 77.57it/s] Loading 0: 37%|███▋ | 108/291 [00:01<00:02, 91.32it/s] Loading 0: 42%|████▏ | 121/291 [00:01<00:01, 99.26it/s] Loading 0: 46%|████▋ | 135/291 [00:01<00:01, 108.97it/s] Loading 0: 51%|█████ | 148/291 [00:01<00:01, 112.64it/s] Loading 0: 56%|█████▌ | 162/291 [00:01<00:01, 120.00it/s] Loading 0: 60%|██████ | 176/291 [00:01<00:00, 125.24it/s] Loading 0: 65%|██████▌ | 190/291 [00:01<00:01, 76.81it/s] Loading 0: 69%|██████▉ | 202/291 [00:02<00:01, 84.43it/s] Loading 0: 74%|███████▍ | 216/291 [00:02<00:00, 95.78it/s] Loading 0: 79%|███████▊ | 229/291 [00:02<00:00, 102.47it/s] Loading 0: 84%|████████▎ | 243/291 [00:02<00:00, 111.35it/s] Loading 0: 88%|████████▊ | 256/291 [00:02<00:00, 113.56it/s] Loading 0: 93%|█████████▎| 270/291 [00:02<00:00, 120.56it/s] Loading 0: 97%|█████████▋| 283/291 [00:02<00:00, 120.02it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: quantized model in 23.228s
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: Processed model cgato/TheSalt-RP-L3-8b-DPO-v0.3.2-e0.6.2 in 75.752s
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: creating bucket guanaco-mkml-models
Failed to get response for submission blend_sepun_2024-07-02: ('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 127.0.0.1:44580->127.0.0.1:8080: read: connection reset by peer\n')
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ERROR: [Errno -3] Temporary failure in name resolution
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ERROR: Connection Error: Error resolving a server hostname.
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: Please check the servers address specified in 'host_base', 'host_bucket', 'cloudfront_host', 'website_endpoint'
Connection pool is full, discarding connection: %s
Job cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer completed after 184.1s with status: failed
Stopping job with name cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer
%s, retrying in %s seconds...
Starting job with name cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer
Waiting for job on cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer to finish
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ _____ __ __ ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ /___/ ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ Version: 0.8.14 ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ https://mk1.ai ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ belonging to: ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ Chai Research Corp. ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: Traceback (most recent call last):
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/connection.py", line 174, in _new_conn
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: conn = connection.create_connection(
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/util/connection.py", line 72, in create_connection
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: for res in socket.getaddrinfo(host, port, family, socket.SOCK_STREAM):
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: File "/opt/conda/lib/python3.10/socket.py", line 955, in getaddrinfo
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: for res in _socket.getaddrinfo(host, port, family, type, proto, flags):
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: socket.gaierror: [Errno -3] Temporary failure in name resolution
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: During handling of the above exception, another exception occurred:
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: Traceback (most recent call last):
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 714, in urlopen
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: httplib_response = self._make_request(
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 403, in _make_request
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: self._validate_conn(conn)
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 1053, in _validate_conn
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: conn.connect()
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/connection.py", line 363, in connect
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: self.sock = conn = self._new_conn()
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/connection.py", line 186, in _new_conn
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: raise NewConnectionError(
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: urllib3.exceptions.NewConnectionError: <urllib3.connection.HTTPSConnection object at 0x7fee22361e10>: Failed to establish a new connection: [Errno -3] Temporary failure in name resolution
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: During handling of the above exception, another exception occurred:
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: Traceback (most recent call last):
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/requests/adapters.py", line 486, in send
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: resp = conn.urlopen(
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 798, in urlopen
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: retries = retries.increment(
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/util/retry.py", line 592, in increment
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: raise MaxRetryError(_pool, url, error or ResponseError(cause))
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: urllib3.exceptions.MaxRetryError: HTTPSConnectionPool(host='cdn-lfs-us-1.huggingface.co', port=443): Max retries exceeded with url: /repos/9e/3a/33eab6a350fc2817c5285/bbbd32583e033bf667e89604e09336d612987f56e5bab92af47c19b98c26a59f?response-content-disposition=inline%3B+filename*%3DUTF-8%27%27model-00004-of-00004.safetensors%3B+filename%3D%22model-00004-of-00004.safetensors%22%3B&Expires=1720238453&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTcyMDIzODQ1M319LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy11cy0xLmh1Z2dpbmdmYWNlLmNvL3JlcG9zLzllLzNhLzllM2FhOWJjYjhhNTg3YTZlYzY1Zjc4ODI3NmRlNmVjOWM4ODQ4ZjE1NGYzM2VhYjZhMzUwZmMyODE3YzUyODUvYmJiZDMyNTgzZTAzM2JmNjY3ZTg5NjA0ZTA5MzM2ZDYxMjk4N2Y1NmU1YmFiOTJhZjQ3YzE5Yjk4YzI2YTU5Zj9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSoifV19&Signature=smNWwlvinfXBKnBVJCHvcgVDR5RlWMm9YRBNAVpcGGmY36FdBQ5pmS2SiiVYpwTUogA8JrW9CjwEdDZ86JkQhXyKDNQmTy72SfgxzwKxi68CiaQo7~nA3fF3lNub55ssM7d4tnnH8UXunkVLcdihNGWbiDgw9gxNy7AlvqKiF3zFhBJRXbcNdDMLzfPHC0G3sVaXzfoijiYFS99Qvew9Y6oDCza-JdKK01DKhBZF-ToSbpP-tH0ucFaDvM6ce4B7EtaSmpp02AgkcoEoFL~wbGhAyDwX1rlVMkTzaC5FGOW~ai31UdVP~PZnuAOTx3hKGT0gf~Db3zU1KpcvtL6L-Q__&Key-Pair-Id=K24J24Z295AEI9 (Caused by NewConnectionError('<urllib3.connection.HTTPSConnection object at 0x7fee22361e10>: Failed to establish a new connection: [Errno -3] Temporary failure in name resolution'))
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: During handling of the above exception, another exception occurred:
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: Traceback (most recent call last):
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: File "/code/uploading/mkmlize.py", line 151, in <module>
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: cli()
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1128, in __call__
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: return self.main(*args, **kwargs)
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1053, in main
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: rv = self.invoke(ctx)
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1659, in invoke
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: return _process_result(sub_ctx.command.invoke(sub_ctx))
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1395, in invoke
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: return ctx.invoke(self.callback, **ctx.params)
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 754, in invoke
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: return __callback(*args, **kwargs)
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: File "/code/uploading/mkmlize.py", line 38, in quantize
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: temp_folder = download_to_shared_memory(repo_id, revision, hf_auth_token)
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: File "/code/uploading/mkmlize.py", line 65, in download_to_shared_memory
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: snapshot_download(
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: return fn(*args, **kwargs)
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line 292, in snapshot_download
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: _inner_hf_hub_download(file)
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line 268, in _inner_hf_hub_download
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: return hf_hub_download(
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: return fn(*args, **kwargs)
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1202, in hf_hub_download
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: return _hf_hub_download_to_local_dir(
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1487, in _hf_hub_download_to_local_dir
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: _download_to_tmp_and_move(
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1884, in _download_to_tmp_and_move
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: http_get(
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 459, in http_get
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: r = _request_wrapper(
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 395, in _request_wrapper
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: response = get_session().request(method=method, url=url, **params)
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/requests/sessions.py", line 589, in request
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: resp = self.send(prep, **send_kwargs)
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/requests/sessions.py", line 703, in send
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: r = adapter.send(request, **kwargs)
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_http.py", line 66, in send
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: return super().send(request, *args, **kwargs)
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/requests/adapters.py", line 519, in send
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: raise ConnectionError(e, request=request)
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: requests.exceptions.ConnectionError: (MaxRetryError("HTTPSConnectionPool(host='cdn-lfs-us-1.huggingface.co', port=443): Max retries exceeded with url: /repos/9e/3a/33eab6a350fc2817c5285/bbbd32583e033bf667e89604e09336d612987f56e5bab92af47c19b98c26a59f?response-content-disposition=inline%3B+filename*%3DUTF-8%27%27model-00004-of-00004.safetensors%3B+filename%3D%22model-00004-of-00004.safetensors%22%3B&Expires=1720238453&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTcyMDIzODQ1M319LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy11cy0xLmh1Z2dpbmdmYWNlLmNvL3JlcG9zLzllLzNhLzllM2FhOWJjYjhhNTg3YTZlYzY1Zjc4ODI3NmRlNmVjOWM4ODQ4ZjE1NGYzM2VhYjZhMzUwZmMyODE3YzUyODUvYmJiZDMyNTgzZTAzM2JmNjY3ZTg5NjA0ZTA5MzM2ZDYxMjk4N2Y1NmU1YmFiOTJhZjQ3YzE5Yjk4YzI2YTU5Zj9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSoifV19&Signature=smNWwlvinfXBKnBVJCHvcgVDR5RlWMm9YRBNAVpcGGmY36FdBQ5pmS2SiiVYpwTUogA8JrW9CjwEdDZ86JkQhXyKDNQmTy72SfgxzwKxi68CiaQo7~nA3fF3lNub55ssM7d4tnnH8UXunkVLcdihNGWbiDgw9gxNy7AlvqKiF3zFhBJRXbcNdDMLzfPHC0G3sVaXzfoijiYFS99Qvew9Y6oDCza-JdKK01DKhBZF-ToSbpP-tH0ucFaDvM6ce4B7EtaSmpp02AgkcoEoFL~wbGhAyDwX1rlVMkTzaC5FGOW~ai31UdVP~PZnuAOTx3hKGT0gf~Db3zU1KpcvtL6L-Q__&Key-Pair-Id=K24J24Z295AEI9 (Caused by NewConnectionError('<urllib3.connection.HTTPSConnection object at 0x7fee22361e10>: Failed to establish a new connection: [Errno -3] Temporary failure in name resolution'))"), '(Request ID: b2d5ea07-7cd3-4245-88d2-63bbfc570aa0)')
Job cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer completed after 115.99s with status: failed
Stopping job with name cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer
%s, retrying in %s seconds...
Starting job with name cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer
Waiting for job on cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer to finish
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ _____ __ __ ║
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cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ /___/ ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ Version: 0.8.14 ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ https://mk1.ai ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ belonging to: ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ Chai Research Corp. ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ║ ║
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: Downloaded to shared memory in 16.350s
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 4%|▍ | 12/291 [00:00<00:02, 111.70it/s] Loading 0: 8%|▊ | 24/291 [00:00<00:02, 100.70it/s] Loading 0: 12%|█▏ | 36/291 [00:00<00:02, 108.68it/s] Loading 0: 16%|█▋ | 48/291 [00:00<00:02, 108.40it/s] Loading 0: 20%|██ | 59/291 [00:00<00:02, 101.13it/s] Loading 0: 26%|██▌ | 75/291 [00:00<00:01, 112.30it/s] Loading 0: 30%|██▉ | 87/291 [00:01<00:02, 70.45it/s] Loading 0: 35%|███▌ | 102/291 [00:01<00:02, 83.90it/s] Loading 0: 39%|███▉ | 113/291 [00:01<00:02, 85.52it/s] Loading 0: 43%|████▎ | 126/291 [00:01<00:01, 95.74it/s] Loading 0: 47%|████▋ | 138/291 [00:01<00:01, 99.48it/s] Loading 0: 51%|█████ | 149/291 [00:01<00:01, 96.53it/s] Loading 0: 57%|█████▋ | 165/291 [00:01<00:01, 109.63it/s] Loading 0: 62%|██████▏ | 179/291 [00:01<00:00, 112.46it/s] Loading 0: 66%|██████▌ | 191/291 [00:02<00:01, 79.11it/s] Loading 0: 69%|██████▉ | 201/291 [00:02<00:01, 82.35it/s] Loading 0: 73%|███████▎ | 211/291 [00:02<00:00, 85.97it/s] Loading 0: 76%|███████▌ | 221/291 [00:02<00:00, 89.18it/s] Loading 0: 81%|████████▏ | 237/291 [00:02<00:00, 105.00it/s] Loading 0: 86%|████████▌ | 249/291 [00:02<00:00, 103.03it/s] Loading 0: 89%|████████▉ | 260/291 [00:02<00:00, 103.96it/s] Loading 0: 94%|█████████▍| 273/291 [00:02<00:00, 107.42it/s] Loading 0: 98%|█████████▊| 284/291 [00:02<00:00, 103.24it/s]
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: unable to retrieve container logs for containerd://a0043beb720580727101f
Failed to get response for submission cycy233-l3-base-v7-c2_v1: ('http://cycy233-l3-base-v7-c2-v1-predictor-default.tenant-chaiml-guanaco.knative.ord1.coreweave.cloud/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:48594->127.0.0.1:8080: read: connection reset by peer\n')
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: Downloaded to shared memory in 177.074s
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: quantized model in 26.715s
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: Processed model cgato/TheSalt-RP-L3-8b-DPO-v0.3.2-e0.6.2 in 203.790s
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: creating bucket guanaco-mkml-models
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-thesalt-rp-l3-8b-d-1612-v2
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-thesalt-rp-l3-8b-d-1612-v2/special_tokens_map.json
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-thesalt-rp-l3-8b-d-1612-v2/config.json
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-thesalt-rp-l3-8b-d-1612-v2/tokenizer_config.json
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-thesalt-rp-l3-8b-d-1612-v2/tokenizer.json
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-thesalt-rp-l3-8b-d-1612-v2/flywheel_model.0.safetensors
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: /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.
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: warnings.warn(
cgato-thesalt-rp-l3-8b-d-1612-v2-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`.
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: warnings.warn(
cgato-thesalt-rp-l3-8b-d-1612-v2-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.
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: warnings.warn(
cgato-thesalt-rp-l3-8b-d-1612-v2-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.
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: warnings.warn(
cgato-thesalt-rp-l3-8b-d-1612-v2-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()
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: return self.fget.__get__(instance, owner)()
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: Saving duration: 0.432s
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 12.349s
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: creating bucket guanaco-reward-models
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-thesalt-rp-l3-8b-d-1612-v2_reward
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-thesalt-rp-l3-8b-d-1612-v2_reward/config.json
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-thesalt-rp-l3-8b-d-1612-v2_reward/tokenizer_config.json
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-thesalt-rp-l3-8b-d-1612-v2_reward/special_tokens_map.json
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-thesalt-rp-l3-8b-d-1612-v2_reward/merges.txt
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-thesalt-rp-l3-8b-d-1612-v2_reward/vocab.json
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-thesalt-rp-l3-8b-d-1612-v2_reward/tokenizer.json
cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-thesalt-rp-l3-8b-d-1612-v2_reward/reward.tensors
Job cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer completed after 295.27s with status: succeeded
Stopping job with name cgato-thesalt-rp-l3-8b-d-1612-v2-mkmlizer
Pipeline stage MKMLizer completed in 597.01s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service cgato-thesalt-rp-l3-8b-d-1612-v2
Waiting for inference service cgato-thesalt-rp-l3-8b-d-1612-v2 to be ready
Inference service cgato-thesalt-rp-l3-8b-d-1612-v2 ready after 60.300806522369385s
Pipeline stage ISVCDeployer completed in 67.12s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.9462170600891113s
Received healthy response to inference request in 1.2967753410339355s
Received healthy response to inference request in 1.165879726409912s
Received healthy response to inference request in 1.2844188213348389s
Received healthy response to inference request in 1.238760232925415s
5 requests
0 failed requests
5th percentile: 1.1804558277130126
10th percentile: 1.1950319290161133
20th percentile: 1.2241841316223145
30th percentile: 1.2478919506072998
40th percentile: 1.2661553859710692
50th percentile: 1.2844188213348389
60th percentile: 1.2893614292144775
70th percentile: 1.2943040370941161
80th percentile: 1.4266636848449707
90th percentile: 1.6864403724670411
95th percentile: 1.8163287162780761
99th percentile: 1.9202393913269042
mean time: 1.3864102363586426
Pipeline stage StressChecker completed in 8.04s
cgato-thesalt-rp-l3-8b-d_1612_v2 status is now deployed due to DeploymentManager action
cgato-thesalt-rp-l3-8b-d_1612_v2 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cgato-thesalt-rp-l3-8b-d_1612_v2
Running pipeline stage ISVCDeleter
Checking if service cgato-thesalt-rp-l3-8b-d-1612-v2 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 5.88s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cgato-thesalt-rp-l3-8b-d-1612-v2/config.json from bucket guanaco-mkml-models
Deleting key cgato-thesalt-rp-l3-8b-d-1612-v2/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cgato-thesalt-rp-l3-8b-d-1612-v2/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cgato-thesalt-rp-l3-8b-d-1612-v2/tokenizer.json from bucket guanaco-mkml-models
Deleting key cgato-thesalt-rp-l3-8b-d-1612-v2/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cgato-thesalt-rp-l3-8b-d-1612-v2_reward/config.json from bucket guanaco-reward-models
Deleting key cgato-thesalt-rp-l3-8b-d-1612-v2_reward/merges.txt from bucket guanaco-reward-models
Deleting key cgato-thesalt-rp-l3-8b-d-1612-v2_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cgato-thesalt-rp-l3-8b-d-1612-v2_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cgato-thesalt-rp-l3-8b-d-1612-v2_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cgato-thesalt-rp-l3-8b-d-1612-v2_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cgato-thesalt-rp-l3-8b-d-1612-v2_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 6.47s
cgato-thesalt-rp-l3-8b-d_1612_v2 status is now torndown due to DeploymentManager action