developer_uid: zonemercy
submission_id: chaiml-kimid-v1-cosine_v8
model_name: test
model_group: ChaiML/kimid-v1_cosine
status: inactive
timestamp: 2025-12-04T09:26:08+00:00
num_battles: 20822
num_wins: 10695
celo_rating: 1303.09
family_friendly_score: 0.503
family_friendly_standard_error: 0.007070940531499328
submission_type: basic
model_repo: ChaiML/kimid-v1_cosine
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 2048
max_output_tokens: 72
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.429091221726133, 'latency_mean': 2.330440902709961, 'latency_p50': 2.3306314945220947, 'latency_p90': 2.5078547716140744}, {'batch_size': 2, 'throughput': 0.6414290583521564, 'latency_mean': 3.1138321685791017, 'latency_p50': 3.1024208068847656, 'latency_p90': 3.3775156259536745}, {'batch_size': 3, 'throughput': 0.7846832446220676, 'latency_mean': 3.816650604009628, 'latency_p50': 3.8319979906082153, 'latency_p90': 4.2000202417373655}, {'batch_size': 4, 'throughput': 0.8893592798123297, 'latency_mean': 4.48541263461113, 'latency_p50': 4.492248058319092, 'latency_p90': 5.137309837341308}, {'batch_size': 5, 'throughput': 0.9469507104283051, 'latency_mean': 5.261188766956329, 'latency_p50': 5.279471516609192, 'latency_p90': 5.978286480903625}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: test
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/kimid-v1_cosine
model_size: 24B
ranking_group: single
throughput_3p7s: 0.77
us_pacific_date: 2025-12-04
win_ratio: 0.5136394198443953
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['User:', '</s>', 'You:'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 72}
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': '####\n{bot_name}:', 'truncate_by_message': True}
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-kimid-v1-cosine-v8-mkmlizer
Waiting for job on chaiml-kimid-v1-cosine-v8-mkmlizer to finish
chaiml-kimid-v1-cosine-v8-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v1-cosine-v8-mkmlizer: bash: no job control in this shell
chaiml-kimid-v1-cosine-v8-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-kimid-v1-cosine-v8-mkmlizer: __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v1-cosine-v8-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v1-cosine-v8-mkmlizer: ║ ║
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chaiml-kimid-v1-cosine-v8-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
chaiml-kimid-v1-cosine-v8-mkmlizer: ║ ║
chaiml-kimid-v1-cosine-v8-mkmlizer: ║ Version: 0.30.6+torch280 ║
chaiml-kimid-v1-cosine-v8-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-kimid-v1-cosine-v8-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-kimid-v1-cosine-v8-mkmlizer: ║ https://mk1.ai ║
chaiml-kimid-v1-cosine-v8-mkmlizer: ║ ║
chaiml-kimid-v1-cosine-v8-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-kimid-v1-cosine-v8-mkmlizer: ║ belonging to: ║
chaiml-kimid-v1-cosine-v8-mkmlizer: ║ ║
chaiml-kimid-v1-cosine-v8-mkmlizer: ║ Chai Research Corp. ║
chaiml-kimid-v1-cosine-v8-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-kimid-v1-cosine-v8-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-kimid-v1-cosine-v8-mkmlizer: ║ ║
chaiml-kimid-v1-cosine-v8-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v1-cosine-v8-mkmlizer: Downloaded to shared memory in 38.186s
chaiml-kimid-v1-cosine-v8-mkmlizer: Checking if ChaiML/kimid-v1_cosine already exists in ChaiML
chaiml-kimid-v1-cosine-v8-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpvdps_gvv, device:0
chaiml-kimid-v1-cosine-v8-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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chaiml-kimid-v1-cosine-v8-mkmlizer: The tokenizer you are loading from '/tmp/tmpvdps_gvv' 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-kimid-v1-cosine-v8-mkmlizer: quantized model in 276.905s
chaiml-kimid-v1-cosine-v8-mkmlizer: Processed model ChaiML/kimid-v1_cosine in 315.091s
chaiml-kimid-v1-cosine-v8-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v1-cosine-v8-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v1-cosine-v8-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v8/nvidia
chaiml-kimid-v1-cosine-v8-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v8/nvidia/special_tokens_map.json
chaiml-kimid-v1-cosine-v8-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v8/nvidia/config.json
chaiml-kimid-v1-cosine-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v8/nvidia/tokenizer_config.json
chaiml-kimid-v1-cosine-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v8/nvidia/tokenizer.json
chaiml-kimid-v1-cosine-v8-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v8/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v1-cosine-v8-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v8/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v1-cosine-v8-mkmlizer completed after 388.21s with status: succeeded
Stopping job with name chaiml-kimid-v1-cosine-v8-mkmlizer
Pipeline stage MKMLizer completed in 388.74s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.14s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-kimid-v1-cosine-v8
Waiting for inference service chaiml-kimid-v1-cosine-v8 to be ready
Inference service chaiml-kimid-v1-cosine-v8 ready after 170.73836731910706s
Pipeline stage MKMLDeployer completed in 171.26s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2510223388671875s
Received healthy response to inference request in 2.2237298488616943s
Received healthy response to inference request in 2.1678476333618164s
Received healthy response to inference request in 2.0945606231689453s
Received healthy response to inference request in 2.292499542236328s
5 requests
0 failed requests
5th percentile: 2.1092180252075194
10th percentile: 2.1238754272460936
20th percentile: 2.1531902313232423
30th percentile: 2.179024076461792
40th percentile: 2.201376962661743
50th percentile: 2.2237298488616943
60th percentile: 2.2346468448638914
70th percentile: 2.245563840866089
80th percentile: 2.2593177795410155
90th percentile: 2.275908660888672
95th percentile: 2.2842041015625
99th percentile: 2.2908404541015623
mean time: 2.2059319972991944
Pipeline stage StressChecker completed in 12.34s
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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 0.62s
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 0.62s
Shutdown handler de-registered
chaiml-kimid-v1-cosine_v8 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 0.10s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.08s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-kimid-v1-cosine-v8-profiler
Waiting for inference service chaiml-kimid-v1-cosine-v8-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
Generating Leaderboard row for %s
Generated Leaderboard row for %s
Pipeline stage OfflineFamilyFriendlyScorer completed in 3797.08s
Shutdown handler de-registered