developer_uid: chai_backend_admin
submission_id: chaiml-1107-quang-ir-mi_88889_v1
model_name: training123
model_group: ChaiML/1107-quang-ir-mix
status: torndown
timestamp: 2025-11-11T10:26:45+00:00
num_battles: 5360
num_wins: 2544
celo_rating: 1289.17
family_friendly_score: 0.5576
family_friendly_standard_error: 0.007023990888376778
submission_type: basic
model_repo: ChaiML/1107-quang-ir-mixall-cld-i8a8-hl-mult-sth-f10000-dpo_multsth25k_0164641ep_2e6ct
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 2048
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.3797025929024153, 'latency_mean': 2.633513015508652, 'latency_p50': 2.6482110023498535, 'latency_p90': 2.8785621166229247}, {'batch_size': 2, 'throughput': 0.5796116017143677, 'latency_mean': 3.445844842195511, 'latency_p50': 3.433573603630066, 'latency_p90': 3.7321749210357664}, {'batch_size': 3, 'throughput': 0.7196441277651084, 'latency_mean': 4.1626991784572605, 'latency_p50': 4.178054571151733, 'latency_p90': 4.853590488433838}, {'batch_size': 4, 'throughput': 0.8179904102607458, 'latency_mean': 4.860242989063263, 'latency_p50': 4.88353955745697, 'latency_p90': 5.588827991485595}, {'batch_size': 5, 'throughput': 0.881760547460537, 'latency_mean': 5.643255697488785, 'latency_p50': 5.657612562179565, 'latency_p90': 6.444426727294922}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: training123
is_internal_developer: True
language_model: ChaiML/1107-quang-ir-mixall-cld-i8a8-hl-mult-sth-f10000-dpo_multsth25k_0164641ep_2e6ct
model_size: 24B
ranking_group: single
throughput_3p7s: 0.64
us_pacific_date: 2025-11-08
win_ratio: 0.4746268656716418
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': ['####', '\n', 'You:', '</s>'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s persona: {memory}", 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': 'You: {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-1107-quang-ir-mi-88889-v1-mkmlizer
Waiting for job on chaiml-1107-quang-ir-mi-88889-v1-mkmlizer to finish
chaiml-1107-quang-ir-mi-88889-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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chaiml-1107-quang-ir-mi-88889-v1-mkmlizer: ║ ║
chaiml-1107-quang-ir-mi-88889-v1-mkmlizer: ║ Version: 0.30.2 ║
chaiml-1107-quang-ir-mi-88889-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-1107-quang-ir-mi-88889-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-1107-quang-ir-mi-88889-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-1107-quang-ir-mi-88889-v1-mkmlizer: ║ ║
chaiml-1107-quang-ir-mi-88889-v1-mkmlizer: ║ The license key for the current software has been verified as ║
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chaiml-1107-quang-ir-mi-88889-v1-mkmlizer: ║ ║
chaiml-1107-quang-ir-mi-88889-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-1107-quang-ir-mi-88889-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-1107-quang-ir-mi-88889-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-1107-quang-ir-mi-88889-v1-mkmlizer: ║ ║
chaiml-1107-quang-ir-mi-88889-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-1107-quang-ir-mi-88889-v1-mkmlizer: Downloaded to shared memory in 60.160s
chaiml-1107-quang-ir-mi-88889-v1-mkmlizer: Checking if ChaiML/1107-quang-ir-mixall-cld-i8a8-hl-mult-sth-f10000-dpo_multsth25k_0164641ep_2e6ct already exists in ChaiML
chaiml-1107-quang-ir-mi-88889-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpagsqzzo1, device:0
chaiml-1107-quang-ir-mi-88889-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission mistralai-mistral-nem_93303_v569: ('http://mistralai-mistral-nem-93303-v569-predictor.tenant-chaiml-guanaco.k2.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
chaiml-1107-quang-ir-mi-88889-v1-mkmlizer: quantized model in 41.967s
chaiml-1107-quang-ir-mi-88889-v1-mkmlizer: Processed model ChaiML/1107-quang-ir-mixall-cld-i8a8-hl-mult-sth-f10000-dpo_multsth25k_0164641ep_2e6ct in 102.128s
chaiml-1107-quang-ir-mi-88889-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-1107-quang-ir-mi-88889-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-1107-quang-ir-mi-88889-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-1107-quang-ir-mi-88889-v1/nvidia
chaiml-1107-quang-ir-mi-88889-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-1107-quang-ir-mi-88889-v1/nvidia/config.json
chaiml-1107-quang-ir-mi-88889-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-1107-quang-ir-mi-88889-v1/nvidia/special_tokens_map.json
chaiml-1107-quang-ir-mi-88889-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-1107-quang-ir-mi-88889-v1/nvidia/tokenizer_config.json
chaiml-1107-quang-ir-mi-88889-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-1107-quang-ir-mi-88889-v1/nvidia/tokenizer.json
chaiml-1107-quang-ir-mi-88889-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-1107-quang-ir-mi-88889-v1/nvidia/flywheel_model.1.safetensors
chaiml-1107-quang-ir-mi-88889-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-1107-quang-ir-mi-88889-v1/nvidia/flywheel_model.0.safetensors
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Job chaiml-1107-quang-ir-mi-88889-v1-mkmlizer completed after 145.5s with status: succeeded
Stopping job with name chaiml-1107-quang-ir-mi-88889-v1-mkmlizer
Pipeline stage MKMLizer completed in 146.07s
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Creating inference service chaiml-1107-quang-ir-mi-88889-v1
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Inference service chaiml-1107-quang-ir-mi-88889-v1 ready after 171.1707808971405s
Pipeline stage MKMLDeployer completed in 171.73s
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Running pipeline stage StressChecker
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Received healthy response to inference request in 2.5944199562072754s
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5th percentile: 2.4980967044830322
10th percentile: 2.51399564743042
20th percentile: 2.5457935333251953
30th percentile: 2.5682379722595217
40th percentile: 2.5813289642333985
50th percentile: 2.5944199562072754
60th percentile: 2.614583873748779
70th percentile: 2.634747791290283
80th percentile: 2.6750351428985595
90th percentile: 2.7354459285736086
95th percentile: 2.765651321411133
99th percentile: 2.7898156356811525
mean time: 2.615799331665039
Pipeline stage StressChecker completed in 14.30s
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