developer_uid: cloudyu
submission_id: cloudyu-chaiml-nemo-dpo-v6_v13
model_name: cloudyu-chaiml-nemo-dpo-v6_v11
model_group: cloudyu/ChaiML-Nemo-DPO-
status: inactive
timestamp: 2024-12-03T03:52:41+00:00
num_battles: 13734
num_wins: 6874
celo_rating: 1264.57
family_friendly_score: 0.5656
family_friendly_standard_error: 0.007009944935589723
submission_type: basic
model_repo: cloudyu/ChaiML-Nemo-DPO-V6
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.612010033581434, 'latency_mean': 1.633898664712906, 'latency_p50': 1.6445022821426392, 'latency_p90': 1.806356143951416}, {'batch_size': 3, 'throughput': 1.1335012259201467, 'latency_mean': 2.63762672662735, 'latency_p50': 2.6099308729171753, 'latency_p90': 2.8755412101745605}, {'batch_size': 5, 'throughput': 1.3740620175713743, 'latency_mean': 3.6248438477516176, 'latency_p50': 3.6414971351623535, 'latency_p90': 4.021663069725037}, {'batch_size': 6, 'throughput': 1.4367291961893003, 'latency_mean': 4.15177610039711, 'latency_p50': 4.13879656791687, 'latency_p90': 4.66409969329834}, {'batch_size': 8, 'throughput': 1.5029557609068378, 'latency_mean': 5.291572699546814, 'latency_p50': 5.338207364082336, 'latency_p90': 5.921755051612854}, {'batch_size': 10, 'throughput': 1.5344349391106062, 'latency_mean': 6.468019903898239, 'latency_p50': 6.433431506156921, 'latency_p90': 7.284650230407715}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: cloudyu-chaiml-nemo-dpo-v6_v11
is_internal_developer: False
language_model: cloudyu/ChaiML-Nemo-DPO-V6
model_size: 13B
ranking_group: single
throughput_3p7s: 1.39
us_pacific_date: 2024-12-02
win_ratio: 0.5005096839959225
generation_params: {'temperature': 0.96, 'top_p': 0.96, 'min_p': 0.04, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', '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
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Running pipeline stage MKMLizer
Starting job with name cloudyu-chaiml-nemo-dpo-v6-v13-mkmlizer
Waiting for job on cloudyu-chaiml-nemo-dpo-v6-v13-mkmlizer to finish
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cloudyu-chaiml-nemo-dpo-v6-v13-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cloudyu-chaiml-nemo-dpo-v6-v13-mkmlizer: ║ _____ __ __ ║
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cloudyu-chaiml-nemo-dpo-v6-v13-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cloudyu-chaiml-nemo-dpo-v6-v13-mkmlizer: ║ /___/ ║
cloudyu-chaiml-nemo-dpo-v6-v13-mkmlizer: ║ ║
cloudyu-chaiml-nemo-dpo-v6-v13-mkmlizer: ║ Version: 0.11.12 ║
cloudyu-chaiml-nemo-dpo-v6-v13-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cloudyu-chaiml-nemo-dpo-v6-v13-mkmlizer: ║ https://mk1.ai ║
cloudyu-chaiml-nemo-dpo-v6-v13-mkmlizer: ║ ║
cloudyu-chaiml-nemo-dpo-v6-v13-mkmlizer: ║ The license key for the current software has been verified as ║
cloudyu-chaiml-nemo-dpo-v6-v13-mkmlizer: ║ belonging to: ║
cloudyu-chaiml-nemo-dpo-v6-v13-mkmlizer: ║ ║
cloudyu-chaiml-nemo-dpo-v6-v13-mkmlizer: ║ Chai Research Corp. ║
cloudyu-chaiml-nemo-dpo-v6-v13-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cloudyu-chaiml-nemo-dpo-v6-v13-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
cloudyu-chaiml-nemo-dpo-v6-v13-mkmlizer: ║ ║
cloudyu-chaiml-nemo-dpo-v6-v13-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cloudyu-chaiml-nemo-dpo-v6-v13-mkmlizer: Downloaded to shared memory in 31.443s
cloudyu-chaiml-nemo-dpo-v6-v13-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpwh6abax1, device:0
cloudyu-chaiml-nemo-dpo-v6-v13-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cloudyu-chaiml-nemo-dpo-v6-v13-mkmlizer: quantized model in 35.770s
cloudyu-chaiml-nemo-dpo-v6-v13-mkmlizer: Processed model cloudyu/ChaiML-Nemo-DPO-V6 in 67.213s
cloudyu-chaiml-nemo-dpo-v6-v13-mkmlizer: creating bucket guanaco-mkml-models
cloudyu-chaiml-nemo-dpo-v6-v13-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cloudyu-chaiml-nemo-dpo-v6-v13-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cloudyu-chaiml-nemo-dpo-v6-v13
cloudyu-chaiml-nemo-dpo-v6-v13-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cloudyu-chaiml-nemo-dpo-v6-v13/config.json
cloudyu-chaiml-nemo-dpo-v6-v13-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cloudyu-chaiml-nemo-dpo-v6-v13/special_tokens_map.json
cloudyu-chaiml-nemo-dpo-v6-v13-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cloudyu-chaiml-nemo-dpo-v6-v13/tokenizer_config.json
cloudyu-chaiml-nemo-dpo-v6-v13-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cloudyu-chaiml-nemo-dpo-v6-v13/tokenizer.json
cloudyu-chaiml-nemo-dpo-v6-v13-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cloudyu-chaiml-nemo-dpo-v6-v13/flywheel_model.0.safetensors
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Job cloudyu-chaiml-nemo-dpo-v6-v13-mkmlizer completed after 93.71s with status: succeeded
Stopping job with name cloudyu-chaiml-nemo-dpo-v6-v13-mkmlizer
Pipeline stage MKMLizer completed in 94.38s
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Inference service cloudyu-chaiml-nemo-dpo-v6-v13 ready after 140.96043920516968s
Pipeline stage MKMLDeployer completed in 141.51s
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5th percentile: 1.603907585144043
10th percentile: 1.6055104732513428
20th percentile: 1.6087162494659424
30th percentile: 1.6407886028289795
40th percentile: 1.701727533340454
50th percentile: 1.7626664638519287
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70th percentile: 1.9477946758270264
80th percentile: 2.004062795639038
90th percentile: 2.024034929275513
95th percentile: 2.03402099609375
99th percentile: 2.04200984954834
mean time: 1.8026748180389405
Pipeline stage StressChecker completed in 10.26s
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cloudyu-chaiml-nemo-dpo-v6_v13 status is now inactive due to auto deactivation removed underperforming models