developer_uid: NischayDnk
submission_id: chaiml-mistral32-deepse_89261_v3
model_name: chaiml-mistral32-deepse_89261_v3
model_group: ChaiML/mistral32_deepsee
status: torndown
timestamp: 2025-07-09T13:26:19+00:00
num_battles: 7576
num_wins: 4255
celo_rating: 1338.53
family_friendly_score: 0.4858
family_friendly_standard_error: 0.0070682156164056
submission_type: basic
model_repo: ChaiML/mistral32_deepseek_cpos3_cpos21322_sfts11306_seq96_exp6
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 5
max_input_tokens: 1280
max_output_tokens: 88
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.3913046820022358, 'latency_mean': 2.5554321610927584, 'latency_p50': 2.5423972606658936, 'latency_p90': 2.7519466638565064}, {'batch_size': 3, 'throughput': 0.8434698541405561, 'latency_mean': 3.5433257961273195, 'latency_p50': 3.5410077571868896, 'latency_p90': 3.7795177936553954}, {'batch_size': 5, 'throughput': 1.1275193429007517, 'latency_mean': 4.409664194583893, 'latency_p50': 4.426709055900574, 'latency_p90': 4.90852689743042}, {'batch_size': 6, 'throughput': 1.2284903550470083, 'latency_mean': 4.857547016143799, 'latency_p50': 4.841674208641052, 'latency_p90': 5.317359185218811}, {'batch_size': 8, 'throughput': 1.3693215089727773, 'latency_mean': 5.803623285293579, 'latency_p50': 5.795018315315247, 'latency_p90': 6.398184299468994}, {'batch_size': 10, 'throughput': 1.451127091738347, 'latency_mean': 6.831424943208694, 'latency_p50': 6.792433142662048, 'latency_p90': 7.502026510238648}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: chaiml-mistral32-deepse_89261_v3
ineligible_reason: max_output_tokens!=64
is_internal_developer: False
language_model: ChaiML/mistral32_deepseek_cpos3_cpos21322_sfts11306_seq96_exp6
model_size: 24B
ranking_group: single
throughput_3p7s: 0.91
us_pacific_date: 2025-07-09
win_ratio: 0.5616420274551215
generation_params: {'temperature': 0.725, 'top_p': 0.95, 'min_p': 0.025, 'top_k': 80, 'presence_penalty': 0.4, 'frequency_penalty': 0.4, 'stopping_words': ['\n', '<|im_end|>', '###', '<|im_start|>', '</s>'], 'max_input_tokens': 1280, 'best_of': 5, 'max_output_tokens': 88}
formatter: {'memory_template': '<|system|>Family Friendly{memory}\n', 'prompt_template': '', 'bot_template': '<|im_start|>assistant\n{message}<|im_end|>\n', 'user_template': '<|im_start|>user\nYou:{message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n', 'truncate_by_message': True}
Resubmit model
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
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Running pipeline stage MKMLizer
Starting job with name chaiml-mistral32-deepse-89261-v3-mkmlizer
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chaiml-mistral32-deepse-89261-v3-mkmlizer: ║ ║
chaiml-mistral32-deepse-89261-v3-mkmlizer: ║ Version: 0.29.15 ║
chaiml-mistral32-deepse-89261-v3-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-mistral32-deepse-89261-v3-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-mistral32-deepse-89261-v3-mkmlizer: ║ https://mk1.ai ║
chaiml-mistral32-deepse-89261-v3-mkmlizer: ║ ║
chaiml-mistral32-deepse-89261-v3-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-mistral32-deepse-89261-v3-mkmlizer: ║ belonging to: ║
chaiml-mistral32-deepse-89261-v3-mkmlizer: ║ ║
chaiml-mistral32-deepse-89261-v3-mkmlizer: ║ Chai Research Corp. ║
chaiml-mistral32-deepse-89261-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-mistral32-deepse-89261-v3-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-mistral32-deepse-89261-v3-mkmlizer: ║ ║
chaiml-mistral32-deepse-89261-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral32-deepse-89261-v3-mkmlizer: Downloaded to shared memory in 58.033s
chaiml-mistral32-deepse-89261-v3-mkmlizer: Checking if ChaiML/mistral32_deepseek_cpos3_cpos21322_sfts11306_seq96_exp6 already exists in ChaiML
chaiml-mistral32-deepse-89261-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpehdhap36, device:0
chaiml-mistral32-deepse-89261-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission chaiml-gy-exp134-dpo-ex_41829_v1: HTTPConnectionPool(host='chaiml-gy-exp134-dpo-ex-41829-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
chaiml-mistral32-deepse-89261-v3-mkmlizer: quantized model in 48.683s
chaiml-mistral32-deepse-89261-v3-mkmlizer: Processed model ChaiML/mistral32_deepseek_cpos3_cpos21322_sfts11306_seq96_exp6 in 106.716s
chaiml-mistral32-deepse-89261-v3-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral32-deepse-89261-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral32-deepse-89261-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral32-deepse-89261-v3/nvidia
chaiml-mistral32-deepse-89261-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral32-deepse-89261-v3/nvidia/config.json
chaiml-mistral32-deepse-89261-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral32-deepse-89261-v3/nvidia/special_tokens_map.json
chaiml-mistral32-deepse-89261-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral32-deepse-89261-v3/nvidia/tokenizer_config.json
chaiml-mistral32-deepse-89261-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral32-deepse-89261-v3/nvidia/tokenizer.json
chaiml-mistral32-deepse-89261-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-mistral32-deepse-89261-v3/nvidia/flywheel_model.1.safetensors
chaiml-mistral32-deepse-89261-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral32-deepse-89261-v3/nvidia/flywheel_model.0.safetensors
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Job chaiml-mistral32-deepse-89261-v3-mkmlizer completed after 137.07s with status: succeeded
Stopping job with name chaiml-mistral32-deepse-89261-v3-mkmlizer
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Inference service chaiml-mistral32-deepse-89261-v3 ready after 191.00284624099731s
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Received healthy response to inference request in 2.95729923248291s
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Received healthy response to inference request in 2.536498785018921s
Received healthy response to inference request in 2.4589242935180664s
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5th percentile: 2.46474871635437
10th percentile: 2.470573139190674
20th percentile: 2.482221984863281
30th percentile: 2.4977368831634523
40th percentile: 2.5171178340911866
50th percentile: 2.536498785018921
60th percentile: 2.583840322494507
70th percentile: 2.6311818599700927
80th percentile: 2.7153419494628905
90th percentile: 2.8363205909729006
95th percentile: 2.8968099117279054
99th percentile: 2.9452013683319094
mean time: 2.6191242694854737
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