submission_id: rica40325-9-15-sftdpo_v2
developer_uid: rica40325
alignment_samples: 10819
alignment_score: -0.5949895512624718
best_of: 16
celo_rating: 1266.16
display_name: rica40325-9-15-sftdpo_v1
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}
generation_params: {'temperature': 1.0, 'top_p': 0.95, 'min_p': 0.1, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: rica40325/9-15-sftdpo
latencies: [{'batch_size': 1, 'throughput': 0.8653042593415007, 'latency_mean': 1.1555649983882903, 'latency_p50': 1.1157994270324707, 'latency_p90': 1.2902004957199096}, {'batch_size': 4, 'throughput': 1.7683902316237154, 'latency_mean': 2.2476896059513094, 'latency_p50': 2.255428433418274, 'latency_p90': 2.493887448310852}, {'batch_size': 5, 'throughput': 1.8925568784306805, 'latency_mean': 2.631601947546005, 'latency_p50': 2.6561224460601807, 'latency_p90': 2.9376134872436523}, {'batch_size': 8, 'throughput': 1.9965402759929762, 'latency_mean': 3.9685012233257293, 'latency_p50': 3.9647178649902344, 'latency_p90': 4.513909935951233}, {'batch_size': 10, 'throughput': 2.0584561885319883, 'latency_mean': 4.807312725782395, 'latency_p50': 4.714488387107849, 'latency_p90': 5.7069818496704094}, {'batch_size': 12, 'throughput': 2.025916564742008, 'latency_mean': 5.850396609306335, 'latency_p50': 5.84844172000885, 'latency_p90': 6.599934720993042}, {'batch_size': 15, 'throughput': 2.0608334529154924, 'latency_mean': 7.119744460582734, 'latency_p50': 7.238675832748413, 'latency_p90': 7.99203131198883}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: rica40325/9-15-sftdpo
model_name: rica40325-9-15-sftdpo_v1
model_num_parameters: 8030261248.0
model_repo: rica40325/9-15-sftdpo
model_size: 8B
num_battles: 10818
num_wins: 5606
propriety_score: 0.7562437562437563
propriety_total_count: 1001.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 2.0
timestamp: 2024-09-16T16:09:05+00:00
us_pacific_date: 2024-09-16
win_ratio: 0.5182103900905898
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Running pipeline stage MKMLizer
Starting job with name rica40325-9-15-sftdpo-v2-mkmlizer
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rica40325-9-15-sftdpo-v2-mkmlizer: ║ ║
rica40325-9-15-sftdpo-v2-mkmlizer: ║ Version: 0.10.1 ║
rica40325-9-15-sftdpo-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
rica40325-9-15-sftdpo-v2-mkmlizer: ║ https://mk1.ai ║
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rica40325-9-15-sftdpo-v2-mkmlizer: ║ Chai Research Corp. ║
rica40325-9-15-sftdpo-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
rica40325-9-15-sftdpo-v2-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
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rica40325-9-15-sftdpo-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rica40325-9-15-sftdpo-v2-mkmlizer: quantized model in 25.774s
rica40325-9-15-sftdpo-v2-mkmlizer: Processed model rica40325/9-15-sftdpo in 48.021s
rica40325-9-15-sftdpo-v2-mkmlizer: creating bucket guanaco-mkml-models
rica40325-9-15-sftdpo-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rica40325-9-15-sftdpo-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rica40325-9-15-sftdpo-v2
rica40325-9-15-sftdpo-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rica40325-9-15-sftdpo-v2/config.json
rica40325-9-15-sftdpo-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rica40325-9-15-sftdpo-v2/special_tokens_map.json
rica40325-9-15-sftdpo-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rica40325-9-15-sftdpo-v2/tokenizer_config.json
rica40325-9-15-sftdpo-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rica40325-9-15-sftdpo-v2/tokenizer.json
rica40325-9-15-sftdpo-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rica40325-9-15-sftdpo-v2/flywheel_model.0.safetensors
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Job rica40325-9-15-sftdpo-v2-mkmlizer completed after 73.51s with status: succeeded
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Inference service rica40325-9-15-sftdpo-v2 ready after 171.0633008480072s
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mean time: 2.808630418777466
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rica40325-9-15-sftdpo-v2-profiler-predictor-00001-deploymevzphs:/code/chaiverse_profiler_1726503441 --namespace tenant-chaiml-guanaco
kubectl exec -it rica40325-9-15-sftdpo-v2-profiler-predictor-00001-deploymevzphs --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726503441 && python profiles.py profile --best_of_n 16 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 512 --output_tokens 64 --summary /code/chaiverse_profiler_1726503441/summary.json'
kubectl exec -it rica40325-9-15-sftdpo-v2-profiler-predictor-00001-deploymevzphs --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726503441/summary.json'
Pipeline stage MKMLProfilerRunner completed in 859.50s
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rica40325-9-15-sftdpo_v2 status is now inactive due to auto deactivation removed underperforming models