chaiml-mistral32-sft-to_87519

developer_uid: NischayDnk

submission_id: chaiml-mistral32-sft-to_87519_v1

model_name: chaiml-mistral32-sft-to_87519_v1

model_group: ChaiML/mistral32-sft-top

status: torndown

timestamp: 2025-07-06T16:08:18+00:00

num_battles: 10349

num_wins: 5351

celo_rating: 1303.68

family_friendly_score: 0.489

family_friendly_standard_error: 0.007069356406349874

submission_type: basic

model_repo: ChaiML/mistral32-sft-top10klex-cpos1-try1-lorav2-2e-deepseek

model_architecture: MistralForCausalLM

model_num_parameters: 24096691200.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

reward_model: default

latencies: [{'batch_size': 1, 'throughput': 0.520466806870477, 'latency_mean': 1.92125084400177, 'latency_p50': 1.9212132692337036, 'latency_p90': 2.112724280357361}, {'batch_size': 3, 'throughput': 1.042078459742374, 'latency_mean': 2.8725922322273254, 'latency_p50': 2.857957124710083, 'latency_p90': 3.1420756578445435}, {'batch_size': 5, 'throughput': 1.3385916491639238, 'latency_mean': 3.7209528601169586, 'latency_p50': 3.7324206829071045, 'latency_p90': 4.085456490516663}, {'batch_size': 6, 'throughput': 1.4433539037766634, 'latency_mean': 4.124985866546631, 'latency_p50': 4.112215280532837, 'latency_p90': 4.578264164924621}, {'batch_size': 8, 'throughput': 1.5757720005595726, 'latency_mean': 5.039752023220062, 'latency_p50': 5.045787930488586, 'latency_p90': 5.614422035217285}, {'batch_size': 10, 'throughput': 1.6587581067112878, 'latency_mean': 5.962990988492965, 'latency_p50': 5.930751442909241, 'latency_p90': 6.66878833770752}]

gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}

display_name: chaiml-mistral32-sft-to_87519_v1

is_internal_developer: False

language_model: ChaiML/mistral32-sft-top10klex-cpos1-try1-lorav2-2e-deepseek

model_size: 24B

ranking_group: single

throughput_3p7s: 1.34

us_pacific_date: 2025-07-06

win_ratio: 0.5170547879022128

generation_params: {'temperature': 0.55, 'top_p': 0.95, 'min_p': 0.025, 'top_k': 60, 'presence_penalty': 0.4, 'frequency_penalty': 0.4, 'stopping_words': ['<|im_end|>', '<|im_start|>', '\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}

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-sft-to-87519-v1-mkmlizer
Waiting for job on chaiml-mistral32-sft-to-87519-v1-mkmlizer to finish
chaiml-mistral32-sft-to-87519-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral32-sft-to-87519-v1-mkmlizer: ║                                                                     ║
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chaiml-mistral32-sft-to-87519-v1-mkmlizer: ║                                                                     ║
chaiml-mistral32-sft-to-87519-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
chaiml-mistral32-sft-to-87519-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-mistral32-sft-to-87519-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-mistral32-sft-to-87519-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-mistral32-sft-to-87519-v1-mkmlizer: ║                                                                     ║
chaiml-mistral32-sft-to-87519-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-mistral32-sft-to-87519-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-mistral32-sft-to-87519-v1-mkmlizer: ║                                                                     ║
chaiml-mistral32-sft-to-87519-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-mistral32-sft-to-87519-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-mistral32-sft-to-87519-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-mistral32-sft-to-87519-v1-mkmlizer: ║                                                                     ║
chaiml-mistral32-sft-to-87519-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral32-sft-to-87519-v1-mkmlizer: Downloaded to shared memory in 82.882s
chaiml-mistral32-sft-to-87519-v1-mkmlizer: Checking if ChaiML/mistral32-sft-top10klex-cpos1-try1-lorav2-2e-deepseek already exists in ChaiML
chaiml-mistral32-sft-to-87519-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpfwgah8ut, device:0
chaiml-mistral32-sft-to-87519-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission blend_hunen_2025-06-23: HTTPConnectionPool(host='guanaco-model-mesh.k2.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Connection pool is full, discarding connection: %s. Connection pool size: %s
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chaiml-mistral32-sft-to-87519-v1-mkmlizer: quantized model in 48.429s
chaiml-mistral32-sft-to-87519-v1-mkmlizer: Processed model ChaiML/mistral32-sft-top10klex-cpos1-try1-lorav2-2e-deepseek in 131.312s
chaiml-mistral32-sft-to-87519-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral32-sft-to-87519-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral32-sft-to-87519-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral32-sft-to-87519-v1/nvidia
chaiml-mistral32-sft-to-87519-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral32-sft-to-87519-v1/nvidia/config.json
chaiml-mistral32-sft-to-87519-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral32-sft-to-87519-v1/nvidia/special_tokens_map.json
chaiml-mistral32-sft-to-87519-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral32-sft-to-87519-v1/nvidia/tokenizer_config.json
chaiml-mistral32-sft-to-87519-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral32-sft-to-87519-v1/nvidia/tokenizer.json
Connection pool is full, discarding connection: %s. Connection pool size: %s
chaiml-mistral32-sft-to-87519-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-mistral32-sft-to-87519-v1/nvidia/flywheel_model.1.safetensors
chaiml-mistral32-sft-to-87519-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral32-sft-to-87519-v1/nvidia/flywheel_model.0.safetensors
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Job chaiml-mistral32-sft-to-87519-v1-mkmlizer completed after 167.47s with status: succeeded
Stopping job with name chaiml-mistral32-sft-to-87519-v1-mkmlizer
Pipeline stage MKMLizer completed in 167.97s
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Creating inference service chaiml-mistral32-sft-to-87519-v1
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Inference service chaiml-mistral32-sft-to-87519-v1 ready after 210.76061844825745s
Pipeline stage MKMLDeployer completed in 211.39s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.668360948562622s
Received healthy response to inference request in 2.4051132202148438s
Received healthy response to inference request in 2.7091362476348877s
Received healthy response to inference request in 1.916123867034912s
Received healthy response to inference request in 1.9036831855773926s
5 requests
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5th percentile: 1.9061713218688965
10th percentile: 1.9086594581604004
20th percentile: 1.9136357307434082
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