developer_uid: rirv938
submission_id: chaiml-96p-4ff-chaiml-m_19791_v2
model_name: chaiml-96p-4ff-chaiml-m_19791_v2
model_group: ChaiML/96p_4ff_chaiml_mi
status: torndown
timestamp: 2026-01-29T16:38:37+00:00
num_battles: 11314
num_wins: 6163
celo_rating: 1337.12
family_friendly_score: 0.5126
family_friendly_standard_error: 0.007068822249851809
submission_type: basic
model_repo: ChaiML/96p_4ff_chaiml_mistral_24b_2048_63507_v3_cp624_merged
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 2048
max_output_tokens: 96
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.3435779296533457, 'latency_mean': 2.910484012365341, 'latency_p50': 2.8952921628952026, 'latency_p90': 3.120973801612854}, {'batch_size': 2, 'throughput': 0.5334064153135218, 'latency_mean': 3.749425517320633, 'latency_p50': 3.7531439065933228, 'latency_p90': 3.9643545150756836}, {'batch_size': 3, 'throughput': 0.6714998880194195, 'latency_mean': 4.4548349130153655, 'latency_p50': 4.4485379457473755, 'latency_p90': 4.759388446807861}, {'batch_size': 4, 'throughput': 0.7658897957434231, 'latency_mean': 5.201523947715759, 'latency_p50': 5.1795936822891235, 'latency_p90': 5.8534095764160154}, {'batch_size': 5, 'throughput': 0.82664321987111, 'latency_mean': 6.018506730794907, 'latency_p50': 5.9867459535598755, 'latency_p90': 6.709308815002442}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: chaiml-96p-4ff-chaiml-m_19791_v2
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/96p_4ff_chaiml_mistral_24b_2048_63507_v3_cp624_merged
model_size: 24B
ranking_group: single
throughput_3p7s: 0.52
us_pacific_date: 2026-01-19
win_ratio: 0.5447233515997879
generation_params: {'temperature': 1.0, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 60, 'presence_penalty': 0.1, 'frequency_penalty': 0.0, 'stopping_words': ['###', '</s>', '<|im_start|>', 'You:', '<|im_end|>', '\n'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 96}
formatter: {'memory_template': '', 'prompt_template': '', '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 chaiml-96p-4ff-chaiml-m-19791-v2-mkmlizer
Waiting for job on chaiml-96p-4ff-chaiml-m-19791-v2-mkmlizer to finish
chaiml-96p-4ff-chaiml-m-19791-v2-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-96p-4ff-chaiml-m-19791-v2-mkmlizer: bash: no job control in this shell
chaiml-96p-4ff-chaiml-m-19791-v2-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-96p-4ff-chaiml-m-19791-v2-mkmlizer: __import__('pkg_resources').declare_namespace(__name__)
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chaiml-96p-4ff-chaiml-m-19791-v2-mkmlizer: ║ ║
chaiml-96p-4ff-chaiml-m-19791-v2-mkmlizer: ║ Version: 0.30.6+torch280 ║
chaiml-96p-4ff-chaiml-m-19791-v2-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-96p-4ff-chaiml-m-19791-v2-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-96p-4ff-chaiml-m-19791-v2-mkmlizer: ║ https://mk1.ai ║
chaiml-96p-4ff-chaiml-m-19791-v2-mkmlizer: ║ ║
chaiml-96p-4ff-chaiml-m-19791-v2-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-96p-4ff-chaiml-m-19791-v2-mkmlizer: ║ belonging to: ║
chaiml-96p-4ff-chaiml-m-19791-v2-mkmlizer: ║ ║
chaiml-96p-4ff-chaiml-m-19791-v2-mkmlizer: ║ Chai Research Corp. ║
chaiml-96p-4ff-chaiml-m-19791-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-96p-4ff-chaiml-m-19791-v2-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-96p-4ff-chaiml-m-19791-v2-mkmlizer: ║ ║
chaiml-96p-4ff-chaiml-m-19791-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-96p-4ff-chaiml-m-19791-v2-mkmlizer: Downloaded to shared memory in 90.426s
chaiml-96p-4ff-chaiml-m-19791-v2-mkmlizer: Checking if ChaiML/96p_4ff_chaiml_mistral_24b_2048_63507_v3_cp624_merged already exists in ChaiML
chaiml-96p-4ff-chaiml-m-19791-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpn96ag5bl, device:0
chaiml-96p-4ff-chaiml-m-19791-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-96p-4ff-chaiml-m-19791-v2-mkmlizer: The tokenizer you are loading from '/tmp/tmpn96ag5bl' 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-96p-4ff-chaiml-m-19791-v2-mkmlizer: quantized model in 282.549s
chaiml-96p-4ff-chaiml-m-19791-v2-mkmlizer: Processed model ChaiML/96p_4ff_chaiml_mistral_24b_2048_63507_v3_cp624_merged in 372.976s
chaiml-96p-4ff-chaiml-m-19791-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-96p-4ff-chaiml-m-19791-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-96p-4ff-chaiml-m-19791-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-96p-4ff-chaiml-m-19791-v2/nvidia
chaiml-96p-4ff-chaiml-m-19791-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-96p-4ff-chaiml-m-19791-v2/nvidia/config.json
chaiml-96p-4ff-chaiml-m-19791-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-96p-4ff-chaiml-m-19791-v2/nvidia/special_tokens_map.json
chaiml-96p-4ff-chaiml-m-19791-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-96p-4ff-chaiml-m-19791-v2/nvidia/tokenizer_config.json
chaiml-96p-4ff-chaiml-m-19791-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-96p-4ff-chaiml-m-19791-v2/nvidia/tokenizer.json
chaiml-96p-4ff-chaiml-m-19791-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-96p-4ff-chaiml-m-19791-v2/nvidia/flywheel_model.1.safetensors
chaiml-96p-4ff-chaiml-m-19791-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-96p-4ff-chaiml-m-19791-v2/nvidia/flywheel_model.0.safetensors
Job chaiml-96p-4ff-chaiml-m-19791-v2-mkmlizer completed after 465.39s with status: succeeded
Stopping job with name chaiml-96p-4ff-chaiml-m-19791-v2-mkmlizer
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Inference service chaiml-96p-4ff-chaiml-m-19791-v2 ready after 223.25729179382324s
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5th percentile: 2.544175720214844
10th percentile: 2.5567917346954347
20th percentile: 2.582023763656616
30th percentile: 2.6460103034973144
40th percentile: 2.7487513542175295
50th percentile: 2.851492404937744
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70th percentile: 2.8671401023864744
80th percentile: 2.8832631587982176
90th percentile: 2.907685422897339
95th percentile: 2.9198965549468996
99th percentile: 2.929665460586548
mean time: 2.756170320510864
Pipeline stage StressChecker completed in 15.72s
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