chaiml-melkor250707160829-sft

developer_uid: chai_backend_admin

submission_id: chaiml-melkor250707160829-sft_v1

model_name: chaiml-melkor250707160829-sft_v1

model_group: ChaiML/Melkor25070716082

status: torndown

timestamp: 2025-07-07T23:30:42+00:00

num_battles: 6690

num_wins: 3383

celo_rating: 1289.86

family_friendly_score: 0.5118

family_friendly_standard_error: 0.007069098386640265

submission_type: basic

model_repo: ChaiML/Melkor250707160829_sft

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': 0.5302342252243202, 'latency_mean': 1.885859409570694, 'latency_p50': 1.8942402601242065, 'latency_p90': 2.107763957977295}, {'batch_size': 3, 'throughput': 1.0692665360278613, 'latency_mean': 2.7961388397216798, 'latency_p50': 2.773056745529175, 'latency_p90': 3.106626510620117}, {'batch_size': 5, 'throughput': 1.363503752750931, 'latency_mean': 3.6421317899227144, 'latency_p50': 3.6633764505386353, 'latency_p90': 4.121085500717163}, {'batch_size': 6, 'throughput': 1.4709256461068845, 'latency_mean': 4.065636521577835, 'latency_p50': 4.075841903686523, 'latency_p90': 4.5602415084838865}, {'batch_size': 8, 'throughput': 1.5958293325714898, 'latency_mean': 4.964972021579743, 'latency_p50': 4.987593173980713, 'latency_p90': 5.628916811943054}, {'batch_size': 10, 'throughput': 1.6868614369809218, 'latency_mean': 5.86998709321022, 'latency_p50': 5.893022179603577, 'latency_p90': 6.545515990257263}]

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

display_name: chaiml-melkor250707160829-sft_v1

is_internal_developer: True

language_model: ChaiML/Melkor250707160829_sft

model_size: 24B

ranking_group: single

throughput_3p7s: 1.39

us_pacific_date: 2025-07-07

win_ratio: 0.5056801195814649

generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['You:', '</s>', '####', '####\n', '\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}

formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}</s>\n', 'user_template': 'You: {message}\n', 'response_template': '{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
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Running pipeline stage MKMLizer
Starting job with name chaiml-melkor250707160829-sft-v1-mkmlizer
Waiting for job on chaiml-melkor250707160829-sft-v1-mkmlizer to finish
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chaiml-melkor250707160829-sft-v1-mkmlizer: ║                                                                     ║
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chaiml-melkor250707160829-sft-v1-mkmlizer: ║                                                                     ║
chaiml-melkor250707160829-sft-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
chaiml-melkor250707160829-sft-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-melkor250707160829-sft-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-melkor250707160829-sft-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-melkor250707160829-sft-v1-mkmlizer: ║                                                                     ║
chaiml-melkor250707160829-sft-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-melkor250707160829-sft-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-melkor250707160829-sft-v1-mkmlizer: ║                                                                     ║
chaiml-melkor250707160829-sft-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-melkor250707160829-sft-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-melkor250707160829-sft-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-melkor250707160829-sft-v1-mkmlizer: ║                                                                     ║
chaiml-melkor250707160829-sft-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-melkor250707160829-sft-v1-mkmlizer: Downloaded to shared memory in 77.341s
chaiml-melkor250707160829-sft-v1-mkmlizer: Checking if ChaiML/Melkor250707160829_sft already exists in ChaiML
chaiml-melkor250707160829-sft-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpyf84ibs9, device:0
chaiml-melkor250707160829-sft-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-melkor250707160829-sft-v1-mkmlizer: quantized model in 50.054s
chaiml-melkor250707160829-sft-v1-mkmlizer: Processed model ChaiML/Melkor250707160829_sft in 127.395s
chaiml-melkor250707160829-sft-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-melkor250707160829-sft-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-melkor250707160829-sft-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-melkor250707160829-sft-v1/nvidia
chaiml-melkor250707160829-sft-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-melkor250707160829-sft-v1/nvidia/config.json
chaiml-melkor250707160829-sft-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-melkor250707160829-sft-v1/nvidia/special_tokens_map.json
chaiml-melkor250707160829-sft-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-melkor250707160829-sft-v1/nvidia/tokenizer_config.json
chaiml-melkor250707160829-sft-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-melkor250707160829-sft-v1/nvidia/tokenizer.json
chaiml-melkor250707160829-sft-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-melkor250707160829-sft-v1/nvidia/flywheel_model.1.safetensors
chaiml-melkor250707160829-sft-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-melkor250707160829-sft-v1/nvidia/flywheel_model.0.safetensors
chaiml-melkor250707160829-sft-v1-mkmlizer: 
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Job chaiml-melkor250707160829-sft-v1-mkmlizer completed after 156.87s with status: succeeded
Stopping job with name chaiml-melkor250707160829-sft-v1-mkmlizer
Pipeline stage MKMLizer completed in 157.46s
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Creating inference service chaiml-melkor250707160829-sft-v1
Waiting for inference service chaiml-melkor250707160829-sft-v1 to be ready
Inference service chaiml-melkor250707160829-sft-v1 ready after 181.50427412986755s
Pipeline stage MKMLDeployer completed in 182.04s
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Received healthy response to inference request in 2.6737751960754395s
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Received healthy response to inference request in 1.8298559188842773s
Received healthy response to inference request in 2.106210708618164s
5 requests
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5th percentile: 1.87190580368042
10th percentile: 1.9139556884765625
20th percentile: 1.9980554580688477
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99th percentile: 2.663864212036133
mean time: 2.215189552307129
Pipeline stage StressChecker completed in 12.62s
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