developer_uid: zhenzhe
submission_id: white-bird-7-dpo_v2
model_name: white-bird-7-dpo_v2
model_group: white-bird/7_dpo
status: torndown
timestamp: 2025-03-03T00:39:08+00:00
num_battles: 13218
num_wins: 6360
celo_rating: 1266.47
family_friendly_score: 0.43899999999999995
family_friendly_standard_error: 0.007018247644533499
submission_type: basic
model_repo: white-bird/7_dpo
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6021381207575587, 'latency_mean': 1.6606761264801024, 'latency_p50': 1.663546085357666, 'latency_p90': 1.8257749557495118}, {'batch_size': 3, 'throughput': 1.1230120639756467, 'latency_mean': 2.6655265033245086, 'latency_p50': 2.6669490337371826, 'latency_p90': 2.881128716468811}, {'batch_size': 5, 'throughput': 1.3478899871385779, 'latency_mean': 3.689192632436752, 'latency_p50': 3.6930370330810547, 'latency_p90': 4.1189992189407345}, {'batch_size': 6, 'throughput': 1.425123433663025, 'latency_mean': 4.195896981954575, 'latency_p50': 4.2077049016952515, 'latency_p90': 4.669779491424561}, {'batch_size': 8, 'throughput': 1.4733210702119157, 'latency_mean': 5.3842077279090885, 'latency_p50': 5.433089017868042, 'latency_p90': 6.083586525917053}, {'batch_size': 10, 'throughput': 1.5352102746789726, 'latency_mean': 6.482644398212432, 'latency_p50': 6.423537969589233, 'latency_p90': 7.445907235145569}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: white-bird-7-dpo_v2
is_internal_developer: False
language_model: white-bird/7_dpo
model_size: 13B
ranking_group: single
throughput_3p7s: 1.36
us_pacific_date: 2025-03-02
win_ratio: 0.4811620517476169
generation_params: {'temperature': 0.95, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.1, 'stopping_words': ['\n', '</s>', '####', 'You:', 'Me:', 'User:', 'Bot:', 'Anonymous'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
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}
Resubmit model
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name white-bird-7-dpo-v2-mkmlizer
Waiting for job on white-bird-7-dpo-v2-mkmlizer to finish
white-bird-7-dpo-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
white-bird-7-dpo-v2-mkmlizer: ║ _____ __ __ ║
white-bird-7-dpo-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
white-bird-7-dpo-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
white-bird-7-dpo-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
white-bird-7-dpo-v2-mkmlizer: ║ /___/ ║
white-bird-7-dpo-v2-mkmlizer: ║ ║
white-bird-7-dpo-v2-mkmlizer: ║ Version: 0.12.8 ║
white-bird-7-dpo-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
white-bird-7-dpo-v2-mkmlizer: ║ https://mk1.ai ║
white-bird-7-dpo-v2-mkmlizer: ║ ║
white-bird-7-dpo-v2-mkmlizer: ║ The license key for the current software has been verified as ║
white-bird-7-dpo-v2-mkmlizer: ║ belonging to: ║
white-bird-7-dpo-v2-mkmlizer: ║ ║
white-bird-7-dpo-v2-mkmlizer: ║ Chai Research Corp. ║
white-bird-7-dpo-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
white-bird-7-dpo-v2-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
white-bird-7-dpo-v2-mkmlizer: ║ ║
white-bird-7-dpo-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
white-bird-7-dpo-v2-mkmlizer: Traceback (most recent call last):
white-bird-7-dpo-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 536, in _make_request
white-bird-7-dpo-v2-mkmlizer: response = conn.getresponse()
white-bird-7-dpo-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/connection.py", line 461, in getresponse
white-bird-7-dpo-v2-mkmlizer: httplib_response = super().getresponse()
white-bird-7-dpo-v2-mkmlizer: File "/opt/conda/lib/python3.10/http/client.py", line 1375, in getresponse
white-bird-7-dpo-v2-mkmlizer: response.begin()
white-bird-7-dpo-v2-mkmlizer: File "/opt/conda/lib/python3.10/http/client.py", line 318, in begin
white-bird-7-dpo-v2-mkmlizer: version, status, reason = self._read_status()
white-bird-7-dpo-v2-mkmlizer: File "/opt/conda/lib/python3.10/http/client.py", line 279, in _read_status
white-bird-7-dpo-v2-mkmlizer: line = str(self.fp.readline(_MAXLINE + 1), "iso-8859-1")
white-bird-7-dpo-v2-mkmlizer: File "/opt/conda/lib/python3.10/socket.py", line 705, in readinto
white-bird-7-dpo-v2-mkmlizer: return self._sock.recv_into(b)
white-bird-7-dpo-v2-mkmlizer: File "/opt/conda/lib/python3.10/ssl.py", line 1307, in recv_into
white-bird-7-dpo-v2-mkmlizer: return self.read(nbytes, buffer)
white-bird-7-dpo-v2-mkmlizer: File "/opt/conda/lib/python3.10/ssl.py", line 1163, in read
white-bird-7-dpo-v2-mkmlizer: return self._sslobj.read(len, buffer)
white-bird-7-dpo-v2-mkmlizer: TimeoutError: The read operation timed out
white-bird-7-dpo-v2-mkmlizer: The above exception was the direct cause of the following exception:
white-bird-7-dpo-v2-mkmlizer: Traceback (most recent call last):
white-bird-7-dpo-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/requests/adapters.py", line 667, in send
white-bird-7-dpo-v2-mkmlizer: resp = conn.urlopen(
white-bird-7-dpo-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 844, in urlopen
white-bird-7-dpo-v2-mkmlizer: retries = retries.increment(
white-bird-7-dpo-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/util/retry.py", line 470, in increment
white-bird-7-dpo-v2-mkmlizer: raise reraise(type(error), error, _stacktrace)
white-bird-7-dpo-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/util/util.py", line 39, in reraise
white-bird-7-dpo-v2-mkmlizer: raise value
white-bird-7-dpo-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 790, in urlopen
white-bird-7-dpo-v2-mkmlizer: response = self._make_request(
white-bird-7-dpo-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 538, in _make_request
white-bird-7-dpo-v2-mkmlizer: self._raise_timeout(err=e, url=url, timeout_value=read_timeout)
white-bird-7-dpo-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/urllib3/connectionpool.py", line 370, in _raise_timeout
white-bird-7-dpo-v2-mkmlizer: raise ReadTimeoutError(
white-bird-7-dpo-v2-mkmlizer: urllib3.exceptions.ReadTimeoutError: HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)
white-bird-7-dpo-v2-mkmlizer: During handling of the above exception, another exception occurred:
white-bird-7-dpo-v2-mkmlizer: Traceback (most recent call last):
white-bird-7-dpo-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1374, in _get_metadata_or_catch_error
white-bird-7-dpo-v2-mkmlizer: metadata = get_hf_file_metadata(
white-bird-7-dpo-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
white-bird-7-dpo-v2-mkmlizer: return fn(*args, **kwargs)
white-bird-7-dpo-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1294, in get_hf_file_metadata
white-bird-7-dpo-v2-mkmlizer: r = _request_wrapper(
white-bird-7-dpo-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 278, in _request_wrapper
white-bird-7-dpo-v2-mkmlizer: response = _request_wrapper(
white-bird-7-dpo-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 301, in _request_wrapper
white-bird-7-dpo-v2-mkmlizer: response = get_session().request(method=method, url=url, **params)
white-bird-7-dpo-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/requests/sessions.py", line 589, in request
white-bird-7-dpo-v2-mkmlizer: resp = self.send(prep, **send_kwargs)
white-bird-7-dpo-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/requests/sessions.py", line 703, in send
white-bird-7-dpo-v2-mkmlizer: r = adapter.send(request, **kwargs)
white-bird-7-dpo-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_http.py", line 93, in send
white-bird-7-dpo-v2-mkmlizer: return super().send(request, *args, **kwargs)
white-bird-7-dpo-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/requests/adapters.py", line 713, in send
white-bird-7-dpo-v2-mkmlizer: raise ReadTimeout(e, request=request)
white-bird-7-dpo-v2-mkmlizer: requests.exceptions.ReadTimeout: (ReadTimeoutError("HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)"), '(Request ID: 5be1dbfd-a801-4854-9a4c-b0146f7af6d7)')
white-bird-7-dpo-v2-mkmlizer: The above exception was the direct cause of the following exception:
white-bird-7-dpo-v2-mkmlizer: Traceback (most recent call last):
white-bird-7-dpo-v2-mkmlizer: File "/code/uploading/mkmlize.py", line 193, in <module>
white-bird-7-dpo-v2-mkmlizer: cli()
white-bird-7-dpo-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1157, in __call__
white-bird-7-dpo-v2-mkmlizer: return self.main(*args, **kwargs)
white-bird-7-dpo-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1078, in main
white-bird-7-dpo-v2-mkmlizer: rv = self.invoke(ctx)
white-bird-7-dpo-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1688, in invoke
white-bird-7-dpo-v2-mkmlizer: return _process_result(sub_ctx.command.invoke(sub_ctx))
white-bird-7-dpo-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1434, in invoke
white-bird-7-dpo-v2-mkmlizer: return ctx.invoke(self.callback, **ctx.params)
white-bird-7-dpo-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 783, in invoke
white-bird-7-dpo-v2-mkmlizer: return __callback(*args, **kwargs)
white-bird-7-dpo-v2-mkmlizer: File "/code/uploading/mkmlize.py", line 39, in quantize
white-bird-7-dpo-v2-mkmlizer: temp_folder = download_to_shared_memory(repo_id, revision, hf_auth_token)
white-bird-7-dpo-v2-mkmlizer: File "/code/uploading/mkmlize.py", line 86, in download_to_shared_memory
white-bird-7-dpo-v2-mkmlizer: snapshot_download(
white-bird-7-dpo-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
white-bird-7-dpo-v2-mkmlizer: return fn(*args, **kwargs)
white-bird-7-dpo-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line 294, in snapshot_download
white-bird-7-dpo-v2-mkmlizer: _inner_hf_hub_download(file)
white-bird-7-dpo-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line 270, in _inner_hf_hub_download
white-bird-7-dpo-v2-mkmlizer: return hf_hub_download(
white-bird-7-dpo-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
white-bird-7-dpo-v2-mkmlizer: return fn(*args, **kwargs)
white-bird-7-dpo-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 840, in hf_hub_download
white-bird-7-dpo-v2-mkmlizer: return _hf_hub_download_to_local_dir(
white-bird-7-dpo-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1089, in _hf_hub_download_to_local_dir
white-bird-7-dpo-v2-mkmlizer: _raise_on_head_call_error(head_call_error, force_download, local_files_only)
white-bird-7-dpo-v2-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1485, in _raise_on_head_call_error
white-bird-7-dpo-v2-mkmlizer: raise LocalEntryNotFoundError(
white-bird-7-dpo-v2-mkmlizer: huggingface_hub.errors.LocalEntryNotFoundError: An error happened while trying to locate the file on the Hub and we cannot find the requested files in the local cache. Please check your connection and try again or make sure your Internet connection is on.
Job white-bird-7-dpo-v2-mkmlizer completed after 36.71s with status: failed
Stopping job with name white-bird-7-dpo-v2-mkmlizer
%s, retrying in %s seconds...
Starting job with name white-bird-7-dpo-v2-mkmlizer
Waiting for job on white-bird-7-dpo-v2-mkmlizer to finish
white-bird-7-dpo-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
white-bird-7-dpo-v2-mkmlizer: ║ _____ __ __ ║
white-bird-7-dpo-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
white-bird-7-dpo-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
white-bird-7-dpo-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
white-bird-7-dpo-v2-mkmlizer: ║ /___/ ║
white-bird-7-dpo-v2-mkmlizer: ║ ║
white-bird-7-dpo-v2-mkmlizer: ║ Version: 0.12.8 ║
white-bird-7-dpo-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
white-bird-7-dpo-v2-mkmlizer: ║ https://mk1.ai ║
white-bird-7-dpo-v2-mkmlizer: ║ ║
white-bird-7-dpo-v2-mkmlizer: ║ The license key for the current software has been verified as ║
white-bird-7-dpo-v2-mkmlizer: ║ belonging to: ║
white-bird-7-dpo-v2-mkmlizer: ║ ║
white-bird-7-dpo-v2-mkmlizer: ║ Chai Research Corp. ║
white-bird-7-dpo-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
white-bird-7-dpo-v2-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
white-bird-7-dpo-v2-mkmlizer: ║ ║
white-bird-7-dpo-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
white-bird-7-dpo-v2-mkmlizer: Downloaded to shared memory in 36.037s
white-bird-7-dpo-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpb0uip74g, device:0
white-bird-7-dpo-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Unable to record family friendly update due to error: Invalid JSON input: JSON must contain 'User Safety' and 'Response Safety' fields
white-bird-7-dpo-v2-mkmlizer: quantized model in 35.855s
white-bird-7-dpo-v2-mkmlizer: Processed model white-bird/7_dpo in 71.893s
white-bird-7-dpo-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
white-bird-7-dpo-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/white-bird-7-dpo-v2
white-bird-7-dpo-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/white-bird-7-dpo-v2/config.json
white-bird-7-dpo-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/white-bird-7-dpo-v2/special_tokens_map.json
white-bird-7-dpo-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/white-bird-7-dpo-v2/tokenizer_config.json
white-bird-7-dpo-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/white-bird-7-dpo-v2/tokenizer.json
white-bird-7-dpo-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/white-bird-7-dpo-v2/flywheel_model.0.safetensors
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Job white-bird-7-dpo-v2-mkmlizer completed after 104.26s with status: succeeded
Stopping job with name white-bird-7-dpo-v2-mkmlizer
Pipeline stage MKMLizer completed in 141.91s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service white-bird-7-dpo-v2
Waiting for inference service white-bird-7-dpo-v2 to be ready
Inference service white-bird-7-dpo-v2 ready after 140.5934739112854s
Pipeline stage MKMLDeployer completed in 141.12s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.296753168106079s
Received healthy response to inference request in 1.7164371013641357s
Received healthy response to inference request in 1.7788910865783691s
Received healthy response to inference request in 1.5344796180725098s
Received healthy response to inference request in 1.9224803447723389s
5 requests
0 failed requests
5th percentile: 1.570871114730835
10th percentile: 1.6072626113891602
20th percentile: 1.6800456047058105
30th percentile: 1.7289278984069825
40th percentile: 1.7539094924926757
50th percentile: 1.7788910865783691
60th percentile: 1.836326789855957
70th percentile: 1.8937624931335448
80th percentile: 1.997334909439087
90th percentile: 2.147044038772583
95th percentile: 2.221898603439331
99th percentile: 2.2817822551727294
mean time: 1.8498082637786866
Pipeline stage StressChecker completed in 10.65s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.73s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 0.70s
Shutdown handler de-registered
white-bird-7-dpo_v2 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.15s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service white-bird-7-dpo-v2-profiler
Waiting for inference service white-bird-7-dpo-v2-profiler to be ready
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 4477.70s
Shutdown handler de-registered
white-bird-7-dpo_v2 status is now inactive due to auto deactivation removed underperforming models
white-bird-7-dpo_v2 status is now torndown due to DeploymentManager action