developer_uid: richhx
submission_id: chaiml-2fe5-c13f-linear-w01_v38
model_name: chaiml-2fe5-c13f-linear-w01_v38
model_group: ChaiML/2fe5-c13f-linear-
status: torndown
timestamp: 2026-01-16T23:29:02+00:00
num_battles: 11925
num_wins: 5929
celo_rating: 1294.62
family_friendly_score: 0.5318
family_friendly_standard_error: 0.0070567522274768875
submission_type: basic
model_repo: ChaiML/2fe5-c13f-linear-w01
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 10
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.9217145494735581, 'latency_mean': 1.0848705434799195, 'latency_p50': 1.0718039274215698, 'latency_p90': 1.2055843114852904}, {'batch_size': 4, 'throughput': 2.1005777534864953, 'latency_mean': 1.8891857409477233, 'latency_p50': 1.8952864408493042, 'latency_p90': 2.1413010120391847}, {'batch_size': 5, 'throughput': 2.3162383622428337, 'latency_mean': 2.1457563138008116, 'latency_p50': 2.167786121368408, 'latency_p90': 2.4073142766952516}, {'batch_size': 8, 'throughput': 2.6842976443001882, 'latency_mean': 2.954561823606491, 'latency_p50': 2.9619449377059937, 'latency_p90': 3.3439955949783324}, {'batch_size': 10, 'throughput': 2.8077165413001755, 'latency_mean': 3.5361532092094423, 'latency_p50': 3.556805968284607, 'latency_p90': 4.045292854309082}, {'batch_size': 12, 'throughput': 2.8420501652037062, 'latency_mean': 4.181497187614441, 'latency_p50': 4.220760703086853, 'latency_p90': 4.726145577430725}, {'batch_size': 15, 'throughput': 2.9149799776795713, 'latency_mean': 5.0735227847099305, 'latency_p50': 5.062867283821106, 'latency_p90': 5.872950387001038}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: chaiml-2fe5-c13f-linear-w01_v38
is_internal_developer: True
language_model: ChaiML/2fe5-c13f-linear-w01
model_size: 13B
ranking_group: single
throughput_3p7s: 2.84
us_pacific_date: 2026-01-13
win_ratio: 0.49719077568134173
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['Bot:', '</s>', '\n', '####', '<|eot_id|>', 'You:', 'User:', '<|im_end|>'], 'max_input_tokens': 1024, 'best_of': 10, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': True}
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chaiml-2fe5-c13f-linear-w01-v38-mkmlizer: Checking if ChaiML/2fe5-c13f-linear-w01 already exists in ChaiML
chaiml-2fe5-c13f-linear-w01-v38-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmph5nvjogg, device:0
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chaiml-2a6f-69d4-linear-w01-v24-mkmlizer: /root/miniconda3/envs/nvidia/lib/python3.11/site-packages/mk1/__init__.py:1: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
chaiml-2a6f-69d4-linear-w01-v24-mkmlizer: __import__('pkg_resources').declare_namespace(__name__)
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chaiml-2a6f-69d4-linear-w01-v24-mkmlizer: ║ Version: 0.30.6+torch280 ║
chaiml-ssnew-v5-dpo-lr-24415-v22-mkmlizer: ║ █████ █████ █████ ░░████ █████ ║
chaiml-2a6f-69d4-linear-w01-v24-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-ssnew-v5-dpo-lr-24415-v22-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
chaiml-2a6f-69d4-linear-w01-v24-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-ssnew-v5-dpo-lr-24415-v22-mkmlizer: ║ ║
chaiml-2a6f-69d4-linear-w01-v24-mkmlizer: ║ https://mk1.ai ║
chaiml-ssnew-v5-dpo-lr-24415-v22-mkmlizer: ║ Version: 0.30.6+torch280 ║
chaiml-2a6f-69d4-linear-w01-v24-mkmlizer: ║ ║
chaiml-ssnew-v5-dpo-lr-24415-v22-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-2a6f-69d4-linear-w01-v24-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-ssnew-v5-dpo-lr-24415-v22-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-2a6f-69d4-linear-w01-v24-mkmlizer: ║ belonging to: ║
chaiml-ssnew-v5-dpo-lr-24415-v22-mkmlizer: ║ https://mk1.ai ║
chaiml-2a6f-69d4-linear-w01-v24-mkmlizer: ║ ║
chaiml-ssnew-v5-dpo-lr-24415-v22-mkmlizer: ║ ║
chaiml-2a6f-69d4-linear-w01-v24-mkmlizer: ║ Chai Research Corp. ║
chaiml-ssnew-v5-dpo-lr-24415-v22-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-2a6f-69d4-linear-w01-v24-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-ssnew-v5-dpo-lr-24415-v22-mkmlizer: ║ belonging to: ║
chaiml-2a6f-69d4-linear-w01-v24-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-ssnew-v5-dpo-lr-24415-v22-mkmlizer: ║ ║
chaiml-2a6f-69d4-linear-w01-v24-mkmlizer: ║ ║
chaiml-ssnew-v5-dpo-lr-24415-v22-mkmlizer: ║ Chai Research Corp. ║
chaiml-2a6f-69d4-linear-w01-v24-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-ssnew-v5-dpo-lr-24415-v22-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-ssnew-v5-dpo-lr-24415-v22-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-ssnew-v5-dpo-lr-24415-v22-mkmlizer: ║ ║
chaiml-ssnew-v5-dpo-lr-24415-v22-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-2a6f-69d4-linear-w01-v24-mkmlizer: Downloaded to shared memory in 49.218s
chaiml-2a6f-69d4-linear-w01-v24-mkmlizer: Checking if ChaiML/2a6f-69d4-linear-w01 already exists in ChaiML
chaiml-2a6f-69d4-linear-w01-v24-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpwlstf01d, device:0
chaiml-2a6f-69d4-linear-w01-v24-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-ssnew-v5-dpo-lr-24415-v22-mkmlizer: Downloaded to shared memory in 45.605s
chaiml-ssnew-v5-dpo-lr-24415-v22-mkmlizer: Checking if ChaiML/ssnew-v5-dpo-lr5e6b01-lora already exists in ChaiML
chaiml-ssnew-v5-dpo-lr-24415-v22-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpv80yc7l_, device:0
chaiml-ssnew-v5-dpo-lr-24415-v22-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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chaiml-2fe5-c13f-linear-w01-v38-mkmlizer: The tokenizer you are loading from '/tmp/tmph5nvjogg' with an incorrect regex pattern: https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503/discussions/84#69121093e8b480e709447d5e. This will lead to incorrect tokenization. You should set the `fix_mistral_regex=True` flag when loading this tokenizer to fix this issue.
chaiml-2fe5-c13f-linear-w01-v38-mkmlizer: quantized model in 162.337s
chaiml-2fe5-c13f-linear-w01-v38-mkmlizer: Processed model ChaiML/2fe5-c13f-linear-w01 in 190.956s
chaiml-2fe5-c13f-linear-w01-v38-mkmlizer: creating bucket guanaco-mkml-models
chaiml-2fe5-c13f-linear-w01-v38-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-2fe5-c13f-linear-w01-v38-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-2fe5-c13f-linear-w01-v38/nvidia
chaiml-2fe5-c13f-linear-w01-v38-mkmlizer: cp /dev/shm/model_cache/chat_template.jinja s3://guanaco-mkml-models/chaiml-2fe5-c13f-linear-w01-v38/nvidia/chat_template.jinja
chaiml-2fe5-c13f-linear-w01-v38-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-2fe5-c13f-linear-w01-v38/nvidia/special_tokens_map.json
chaiml-2fe5-c13f-linear-w01-v38-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-2fe5-c13f-linear-w01-v38/nvidia/config.json
chaiml-2fe5-c13f-linear-w01-v38-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-2fe5-c13f-linear-w01-v38/nvidia/tokenizer_config.json
chaiml-2fe5-c13f-linear-w01-v38-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-2fe5-c13f-linear-w01-v38/nvidia/tokenizer.json
chaiml-7b07-69d4-linear-w01-v33-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-7b07-69d4-linear-w01-v33-mkmlizer: bash: no job control in this shell
chaiml-7b07-69d4-linear-w01-v33-mkmlizer: /root/miniconda3/envs/nvidia/lib/python3.11/site-packages/mk1/__init__.py:1: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
chaiml-7b07-69d4-linear-w01-v33-mkmlizer: __import__('pkg_resources').declare_namespace(__name__)
chaiml-2fe5-c13f-linear-w01-v38-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-2fe5-c13f-linear-w01-v38/nvidia/flywheel_model.0.safetensors
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chaiml-7b07-69d4-linear-w01-v33-mkmlizer: ║ ║
chaiml-7b07-69d4-linear-w01-v33-mkmlizer: ║ Version: 0.30.6+torch280 ║
chaiml-7b07-69d4-linear-w01-v33-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-ca18-c13f-linear-w01-v38-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
Job chaiml-2fe5-c13f-linear-w01-v38-mkmlizer completed after 294.38s with status: succeeded
chaiml-7b07-69d4-linear-w01-v33-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-ca18-c13f-linear-w01-v38-mkmlizer: bash: no job control in this shell
Stopping job with name chaiml-2fe5-c13f-linear-w01-v38-mkmlizer
chaiml-7b07-69d4-linear-w01-v33-mkmlizer: ║ https://mk1.ai ║
chaiml-7b07-69d4-linear-w01-v33-mkmlizer: ║ ║
Pipeline stage MKMLizer completed in 297.71s
chaiml-7b07-69d4-linear-w01-v33-mkmlizer: ║ The license key for the current software has been verified as ║
run pipeline stage %s
chaiml-7b07-69d4-linear-w01-v33-mkmlizer: ║ belonging to: ║
Running pipeline stage MKMLTemplater
chaiml-7b07-69d4-linear-w01-v33-mkmlizer: ║ ║
Pipeline stage MKMLTemplater completed in 1.00s
chaiml-7b07-69d4-linear-w01-v33-mkmlizer: ║ Chai Research Corp. ║
run pipeline stage %s
chaiml-7b07-69d4-linear-w01-v33-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
Running pipeline stage MKMLDeployer
chaiml-7b07-69d4-linear-w01-v33-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
Creating inference service chaiml-2fe5-c13f-linear-w01-v38
chaiml-7b07-69d4-linear-w01-v33-mkmlizer: ║ ║
Waiting for inference service chaiml-2fe5-c13f-linear-w01-v38 to be ready
chaiml-7b07-69d4-linear-w01-v33-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-7b07-69d4-linear-w01-v33-mkmlizer: Downloaded to shared memory in 45.925s
chaiml-7b07-69d4-linear-w01-v33-mkmlizer: Checking if ChaiML/7b07-69d4-linear-w01 already exists in ChaiML
chaiml-ca18-c13f-linear-w01-v38-mkmlizer: Downloaded to shared memory in 23.899s
chaiml-7b07-69d4-linear-w01-v33-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpfkv5l4a_, device:0
chaiml-ca18-c13f-linear-w01-v38-mkmlizer: Checking if ChaiML/ca18-c13f-linear-w01 already exists in ChaiML
chaiml-7b07-69d4-linear-w01-v33-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-ca18-c13f-linear-w01-v38-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpr07yf5pi, device:0
chaiml-ca18-c13f-linear-w01-v38-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-4d70-fd43-linear-w01-v29-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-4d70-fd43-linear-w01-v29-mkmlizer: bash: no job control in this shell
chaiml-02f4-69d4-linear-w01-v51-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-02f4-69d4-linear-w01-v51-mkmlizer: bash: no job control in this shell
chaiml-02f4-69d4-linear-w01-v51-mkmlizer: /root/miniconda3/envs/nvidia/lib/python3.11/site-packages/mk1/__init__.py:1: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
chaiml-02f4-69d4-linear-w01-v51-mkmlizer: __import__('pkg_resources').declare_namespace(__name__)
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chaiml-csfs-v3-3-dpo-l-86358-v21-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-02f4-69d4-linear-w01-v51-mkmlizer: ║ ░███ ░░░ ░███ ░███░░███ ░███ ║
chaiml-csfs-v3-3-dpo-l-86358-v21-mkmlizer: bash: no job control in this shell
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chaiml-csfs-v3-3-dpo-l-86358-v21-mkmlizer: /root/miniconda3/envs/nvidia/lib/python3.11/site-packages/mk1/__init__.py:1: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
chaiml-02f4-69d4-linear-w01-v51-mkmlizer: ║ █████ █████ █████ ░░████ █████ ║
chaiml-csfs-v3-3-dpo-l-86358-v21-mkmlizer: __import__('pkg_resources').declare_namespace(__name__)
chaiml-02f4-69d4-linear-w01-v51-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
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chaiml-02f4-69d4-linear-w01-v51-mkmlizer: ║ ║
chaiml-csfs-v3-3-dpo-l-86358-v21-mkmlizer: ║ ║
chaiml-02f4-69d4-linear-w01-v51-mkmlizer: ║ Version: 0.30.6+torch280 ║
chaiml-4d70-fd43-linear-w01-v29-mkmlizer: Downloaded to shared memory in 24.021s
chaiml-csfs-v3-3-dpo-l-86358-v21-mkmlizer: ║ ██████ ██████ █████ ████ ████ ║
chaiml-02f4-69d4-linear-w01-v51-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-4d70-fd43-linear-w01-v29-mkmlizer: Checking if ChaiML/4d70-fd43-linear-w01 already exists in ChaiML
chaiml-csfs-v3-3-dpo-l-86358-v21-mkmlizer: ║ ░░██████ ██████ ░░███ ███░ ░░███ ║
chaiml-02f4-69d4-linear-w01-v51-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-4d70-fd43-linear-w01-v29-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpuh2m92ld, device:0
chaiml-csfs-v3-3-dpo-l-86358-v21-mkmlizer: ║ ░███░█████░███ ░███ ███ ░███ ║
chaiml-02f4-69d4-linear-w01-v51-mkmlizer: ║ https://mk1.ai ║
chaiml-4d70-fd43-linear-w01-v29-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-csfs-v3-3-dpo-l-86358-v21-mkmlizer: ║ ░███░░███ ░███ ░███████ ░███ ║
chaiml-02f4-69d4-linear-w01-v51-mkmlizer: ║ ║
chaiml-csfs-v3-3-dpo-l-86358-v21-mkmlizer: ║ ░███ ░░░ ░███ ░███░░███ ░███ ║
chaiml-02f4-69d4-linear-w01-v51-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-csfs-v3-3-dpo-l-86358-v21-mkmlizer: ║ ░███ ░███ ░███ ░░███ ░███ ║
chaiml-02f4-69d4-linear-w01-v51-mkmlizer: ║ belonging to: ║
chaiml-csfs-v3-3-dpo-l-86358-v21-mkmlizer: ║ █████ █████ █████ ░░████ █████ ║
chaiml-02f4-69d4-linear-w01-v51-mkmlizer: ║ ║
chaiml-csfs-v3-3-dpo-l-86358-v21-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
chaiml-02f4-69d4-linear-w01-v51-mkmlizer: ║ Chai Research Corp. ║
chaiml-csfs-v3-3-dpo-l-86358-v21-mkmlizer: ║ ║
chaiml-02f4-69d4-linear-w01-v51-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-csfs-v3-3-dpo-l-86358-v21-mkmlizer: ║ Version: 0.30.6+torch280 ║
chaiml-02f4-69d4-linear-w01-v51-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-csfs-v3-3-dpo-l-86358-v21-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-02f4-69d4-linear-w01-v51-mkmlizer: ║ ║
chaiml-csfs-v3-3-dpo-l-86358-v21-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-02f4-69d4-linear-w01-v51-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-csfs-v3-3-dpo-l-86358-v21-mkmlizer: ║ https://mk1.ai ║
chaiml-csfs-v3-3-dpo-l-86358-v21-mkmlizer: ║ ║
chaiml-csfs-v3-3-dpo-l-86358-v21-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-csfs-v3-3-dpo-l-86358-v21-mkmlizer: ║ belonging to: ║
chaiml-csfs-v3-3-dpo-l-86358-v21-mkmlizer: ║ ║
chaiml-csfs-v3-3-dpo-l-86358-v21-mkmlizer: ║ Chai Research Corp. ║
chaiml-csfs-v3-3-dpo-l-86358-v21-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-csfs-v3-3-dpo-l-86358-v21-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-csfs-v3-3-dpo-l-86358-v21-mkmlizer: ║ ║
chaiml-csfs-v3-3-dpo-l-86358-v21-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-02f4-69d4-linear-w01-v51-mkmlizer: Downloaded to shared memory in 44.352s
chaiml-02f4-69d4-linear-w01-v51-mkmlizer: Checking if ChaiML/02f4-69d4-linear-w01 already exists in ChaiML
chaiml-02f4-69d4-linear-w01-v51-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpaxwec01f, device:0
chaiml-02f4-69d4-linear-w01-v51-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-csfs-v3-3-dpo-l-86358-v21-mkmlizer: Downloaded to shared memory in 47.960s
chaiml-csfs-v3-3-dpo-l-86358-v21-mkmlizer: Checking if ChaiML/csfs-v3-3-dpo-lr5e6b01-lora already exists in ChaiML
chaiml-csfs-v3-3-dpo-l-86358-v21-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpjuyoa30u, device:0
chaiml-csfs-v3-3-dpo-l-86358-v21-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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chaiml-ca18-c13f-linear-w01-v38-mkmlizer: The tokenizer you are loading from '/tmp/tmpr07yf5pi' with an incorrect regex pattern: https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503/discussions/84#69121093e8b480e709447d5e. This will lead to incorrect tokenization. You should set the `fix_mistral_regex=True` flag when loading this tokenizer to fix this issue.
chaiml-ca18-c13f-linear-w01-v38-mkmlizer: quantized model in 141.785s
chaiml-ca18-c13f-linear-w01-v38-mkmlizer: Processed model ChaiML/ca18-c13f-linear-w01 in 165.684s
chaiml-ca18-c13f-linear-w01-v38-mkmlizer: creating bucket guanaco-mkml-models
chaiml-ca18-c13f-linear-w01-v38-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-ca18-c13f-linear-w01-v38-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-ca18-c13f-linear-w01-v38/nvidia
chaiml-ca18-c13f-linear-w01-v38-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-ca18-c13f-linear-w01-v38/nvidia/config.json
chaiml-ca18-c13f-linear-w01-v38-mkmlizer: cp /dev/shm/model_cache/chat_template.jinja s3://guanaco-mkml-models/chaiml-ca18-c13f-linear-w01-v38/nvidia/chat_template.jinja
chaiml-ca18-c13f-linear-w01-v38-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-ca18-c13f-linear-w01-v38/nvidia/special_tokens_map.json
chaiml-ca18-c13f-linear-w01-v38-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-ca18-c13f-linear-w01-v38/nvidia/tokenizer_config.json
chaiml-ca18-c13f-linear-w01-v38-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-ca18-c13f-linear-w01-v38/nvidia/tokenizer.json
Inference service chaiml-2fe5-c13f-linear-w01-v38 ready after 182.57392191886902s
Pipeline stage MKMLDeployer completed in 187.85s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.8155004978179932s
Received healthy response to inference request in 1.5893335342407227s
Received healthy response to inference request in 1.1920185089111328s
chaiml-ssnew-v5-dpo-lr-24415-v22-mkmlizer: The tokenizer you are loading from '/tmp/tmpv80yc7l_' with an incorrect regex pattern: https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503/discussions/84#69121093e8b480e709447d5e. This will lead to incorrect tokenization. You should set the `fix_mistral_regex=True` flag when loading this tokenizer to fix this issue.
chaiml-ssnew-v5-dpo-lr-24415-v22-mkmlizer: quantized model in 277.543s
Received healthy response to inference request in 1.3988900184631348s
chaiml-ssnew-v5-dpo-lr-24415-v22-mkmlizer: Processed model ChaiML/ssnew-v5-dpo-lr5e6b01-lora in 323.148s
chaiml-ssnew-v5-dpo-lr-24415-v22-mkmlizer: creating bucket guanaco-mkml-models
Received healthy response to inference request in 1.5542151927947998s
chaiml-ssnew-v5-dpo-lr-24415-v22-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
5 requests
chaiml-ssnew-v5-dpo-lr-24415-v22-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-ssnew-v5-dpo-lr-24415-v22/nvidia
0 failed requests
chaiml-ssnew-v5-dpo-lr-24415-v22-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-ssnew-v5-dpo-lr-24415-v22/nvidia/config.json
5th percentile: 1.2333928108215333
chaiml-ssnew-v5-dpo-lr-24415-v22-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-ssnew-v5-dpo-lr-24415-v22/nvidia/special_tokens_map.json
10th percentile: 1.2747671127319335
chaiml-ssnew-v5-dpo-lr-24415-v22-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-ssnew-v5-dpo-lr-24415-v22/nvidia/tokenizer_config.json
20th percentile: 1.3575157165527343
chaiml-ssnew-v5-dpo-lr-24415-v22-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-ssnew-v5-dpo-lr-24415-v22/nvidia/tokenizer.json
30th percentile: 1.4299550533294678
40th percentile: 1.4920851230621337
50th percentile: 1.5542151927947998
60th percentile: 1.568262529373169
70th percentile: 1.582309865951538
80th percentile: 1.634566926956177
90th percentile: 1.725033712387085
95th percentile: 1.770267105102539
99th percentile: 1.8064538192749022
mean time: 1.5099915504455566
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Pipeline stage StressChecker completed in 28.19s
chaiml-ca18-c13f-linear-w01-v38-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-ca18-c13f-linear-w01-v38/nvidia/flywheel_model.0.safetensors
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Running pipeline stage TriggerMKMLProfilingPipeline
chaiml-4d70-fd43-linear-w01-v29-mkmlizer: The tokenizer you are loading from '/tmp/tmpuh2m92ld' with an incorrect regex pattern: https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503/discussions/84#69121093e8b480e709447d5e. This will lead to incorrect tokenization. You should set the `fix_mistral_regex=True` flag when loading this tokenizer to fix this issue.
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chaiml-ssnew-v5-dpo-lr-24415-v22-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-ssnew-v5-dpo-lr-24415-v22/nvidia/flywheel_model.1.safetensors
chaiml-4d70-fd43-linear-w01-v29-mkmlizer: quantized model in 141.669s
Job chaiml-ca18-c13f-linear-w01-v38-mkmlizer completed after 530.13s with status: succeeded
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chaiml-4d70-fd43-linear-w01-v29-mkmlizer: Processed model ChaiML/4d70-fd43-linear-w01 in 165.690s
Stopping job with name chaiml-ca18-c13f-linear-w01-v38-mkmlizer
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chaiml-4d70-fd43-linear-w01-v29-mkmlizer: creating bucket guanaco-mkml-models
Pipeline stage MKMLizer completed in 534.35s
Pipeline stage TriggerMKMLProfilingPipeline completed in 5.87s
chaiml-4d70-fd43-linear-w01-v29-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
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Shutdown handler de-registered
chaiml-4d70-fd43-linear-w01-v29-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-4d70-fd43-linear-w01-v29/nvidia
chaiml-2a6f-69d4-linear-w01-v24-mkmlizer: The tokenizer you are loading from '/tmp/tmpwlstf01d' with an incorrect regex pattern: https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503/discussions/84#69121093e8b480e709447d5e. This will lead to incorrect tokenization. You should set the `fix_mistral_regex=True` flag when loading this tokenizer to fix this issue.
Running pipeline stage MKMLTemplater
chaiml-4d70-fd43-linear-w01-v29-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-4d70-fd43-linear-w01-v29/nvidia
chaiml-2a6f-69d4-linear-w01-v24-mkmlizer: The tokenizer you are loading from '/tmp/tmpwlstf01d' with an incorrect regex pattern: https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503/discussions/84#69121093e8b480e709447d5e. This will lead to incorrect tokenization. You should set the `fix_mistral_regex=True` flag when loading this tokenizer to fix this issue.
Running pipeline stage MKMLTemplater
chaiml-2fe5-c13f-linear-w01_v38 status is now deployed due to DeploymentManager action
Shutdown handler registered
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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 0.12s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-2fe5-c13f-linear-w01-v38-profiler
Waiting for inference service chaiml-2fe5-c13f-linear-w01-v38-profiler to be ready
Shutdown handler registered
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Generating Leaderboard row for %s
Generated Leaderboard row for %s
Pipeline stage OfflineFamilyFriendlyScorer completed in 2120.87s
Shutdown handler de-registered
chaiml-2fe5-c13f-linear-w01_v38 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of chaiml-2fe5-c13f-linear-w01_v38
Shutdown handler not registered because Python interpreter is not running in the main thread
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Pipeline stage MKMLDeleter completed in 63.24s
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Pipeline stage MKMLModelDeleter completed in 184.47s
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Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Shutdown handler de-registered
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation