chaiml-mistral-nemo-simp_7503

developer_uid: azuruce

submission_id: chaiml-mistral-nemo-simp_7503_v4

model_name: chaiml-mistral-nemo-simp_7503_v4

model_group: ChaiML/mistral_nemo_simp

status: inactive

timestamp: 2024-12-15T23:18:29+00:00

num_battles: 8458

num_wins: 3161

celo_rating: 1141.0

family_friendly_score: 0.5462

family_friendly_standard_error: 0.007040817566163747

submission_type: basic

model_repo: ChaiML/mistral_nemo_simpo_baseline_albert_20241213_v2_mad-checkpoint-1872

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 4

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.6410140680973554, 'latency_mean': 1.5599682891368867, 'latency_p50': 1.5683743953704834, 'latency_p90': 1.7086413383483887}, {'batch_size': 4, 'throughput': 1.4899697252387152, 'latency_mean': 2.682475017309189, 'latency_p50': 2.691136360168457, 'latency_p90': 3.018851351737976}, {'batch_size': 5, 'throughput': 1.6410675167860158, 'latency_mean': 3.0376181972026823, 'latency_p50': 3.022893786430359, 'latency_p90': 3.4532058954238893}, {'batch_size': 8, 'throughput': 1.9029961791704288, 'latency_mean': 4.180486240386963, 'latency_p50': 4.18738055229187, 'latency_p90': 4.669799065589904}, {'batch_size': 10, 'throughput': 2.007226318920881, 'latency_mean': 4.9427220046520235, 'latency_p50': 4.935956954956055, 'latency_p90': 5.707175087928772}, {'batch_size': 12, 'throughput': 2.0516740794366863, 'latency_mean': 5.810086200237274, 'latency_p50': 5.818430066108704, 'latency_p90': 6.526220703125}, {'batch_size': 15, 'throughput': 2.111330720629288, 'latency_mean': 7.032636160850525, 'latency_p50': 7.042567491531372, 'latency_p90': 8.020081830024719}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: chaiml-mistral-nemo-simp_7503_v4

is_internal_developer: True

language_model: ChaiML/mistral_nemo_simpo_baseline_albert_20241213_v2_mad-checkpoint-1872

model_size: 13B

ranking_group: single

throughput_3p7s: 1.82

us_pacific_date: 2024-12-15

win_ratio: 0.3737290139512887

generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 100, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', '####', 'Bot:', 'User:', 'You:', '<|im_end|>', '<|eot_id|>'], 'max_input_tokens': 1024, 'best_of': 4, 'max_output_tokens': 64}

formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}

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-mistral-nemo-simp-7503-v4-mkmlizer
Waiting for job on chaiml-mistral-nemo-simp-7503-v4-mkmlizer to finish
chaiml-mistral-nemo-simp-7503-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mistral-nemo-simp-7503-v4-mkmlizer: ║     _____            __           __                                ║
chaiml-mistral-nemo-simp-7503-v4-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
chaiml-mistral-nemo-simp-7503-v4-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
chaiml-mistral-nemo-simp-7503-v4-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
chaiml-mistral-nemo-simp-7503-v4-mkmlizer: ║       /___/                                                         ║
chaiml-mistral-nemo-simp-7503-v4-mkmlizer: ║                                                                     ║
chaiml-mistral-nemo-simp-7503-v4-mkmlizer: ║  Version: 0.11.12                                                   ║
chaiml-mistral-nemo-simp-7503-v4-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
chaiml-mistral-nemo-simp-7503-v4-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-mistral-nemo-simp-7503-v4-mkmlizer: ║                                                                     ║
chaiml-mistral-nemo-simp-7503-v4-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-mistral-nemo-simp-7503-v4-mkmlizer: ║  belonging to:                                                      ║
chaiml-mistral-nemo-simp-7503-v4-mkmlizer: ║                                                                     ║
chaiml-mistral-nemo-simp-7503-v4-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-mistral-nemo-simp-7503-v4-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-mistral-nemo-simp-7503-v4-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
chaiml-mistral-nemo-simp-7503-v4-mkmlizer: ║                                                                     ║
chaiml-mistral-nemo-simp-7503-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mistral-nemo-simp-7503-v4-mkmlizer: Downloaded to shared memory in 31.787s
chaiml-mistral-nemo-simp-7503-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp934sxqz9, device:0
chaiml-mistral-nemo-simp-7503-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mistral-nemo-simp-7503-v4-mkmlizer: quantized model in 36.115s
chaiml-mistral-nemo-simp-7503-v4-mkmlizer: Processed model ChaiML/mistral_nemo_simpo_baseline_albert_20241213_v2_mad-checkpoint-1872 in 67.902s
chaiml-mistral-nemo-simp-7503-v4-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mistral-nemo-simp-7503-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mistral-nemo-simp-7503-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mistral-nemo-simp-7503-v4
chaiml-mistral-nemo-simp-7503-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mistral-nemo-simp-7503-v4/config.json
chaiml-mistral-nemo-simp-7503-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mistral-nemo-simp-7503-v4/special_tokens_map.json
chaiml-mistral-nemo-simp-7503-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mistral-nemo-simp-7503-v4/tokenizer_config.json
chaiml-mistral-nemo-simp-7503-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mistral-nemo-simp-7503-v4/tokenizer.json
chaiml-mistral-nemo-simp-7503-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mistral-nemo-simp-7503-v4/flywheel_model.0.safetensors
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Job chaiml-mistral-nemo-simp-7503-v4-mkmlizer completed after 94.64s with status: succeeded
Stopping job with name chaiml-mistral-nemo-simp-7503-v4-mkmlizer
Pipeline stage MKMLizer completed in 95.27s
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-mistral-nemo-simp-7503-v4
Waiting for inference service chaiml-mistral-nemo-simp-7503-v4 to be ready
Failed to get response for submission chaiml-mistral-nemo-simp_3795_v1: ('http://chaiml-llama-8b-multihea-7878-v5-predictor.tenant-chaiml-guanaco.k2.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:43286->127.0.0.1:8080: read: connection reset by peer\n')
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Inference service chaiml-mistral-nemo-simp-7503-v4 ready after 220.9531970024109s
Pipeline stage MKMLDeployer completed in 221.55s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.7595014572143555s
Received healthy response to inference request in 1.7047083377838135s
Received healthy response to inference request in 1.4233620166778564s
Received healthy response to inference request in 1.3898320198059082s
Received healthy response to inference request in 1.3690919876098633s
5 requests
0 failed requests
5th percentile: 1.3732399940490723
10th percentile: 1.3773880004882812
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95th percentile: 1.7485428333282471
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mean time: 1.5292991638183593
Pipeline stage StressChecker completed in 9.19s
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Pipeline stage OfflineFamilyFriendlyScorer completed in 2395.55s
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chaiml-mistral-nemo-simp_7503_v4 status is now inactive due to auto deactivation removed underperforming models