submission_id: chaiml-albert-dpo-0912-v_2740_v1
developer_uid: chai_backend_admin
alignment_samples: 11223
alignment_score: -0.8213995903335
best_of: 8
celo_rating: 1248.07
display_name: edit_bottom_model_strength
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}
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', '###', 'Bot:', 'User:', 'You:', '<|im_end|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: True
language_model: ChaiML/albert_dpo_0912_virgo_edit_variety_bottom_model_strength
latencies: [{'batch_size': 1, 'throughput': 0.6149533009295395, 'latency_mean': 1.6260778415203094, 'latency_p50': 1.6193301677703857, 'latency_p90': 1.809686255455017}, {'batch_size': 3, 'throughput': 1.0677133959492433, 'latency_mean': 2.7969468808174134, 'latency_p50': 2.7761799097061157, 'latency_p90': 3.098133111000061}, {'batch_size': 5, 'throughput': 1.2171183129729601, 'latency_mean': 4.093708029985428, 'latency_p50': 4.092479467391968, 'latency_p90': 4.661460828781128}, {'batch_size': 6, 'throughput': 1.2319268679940514, 'latency_mean': 4.84853304028511, 'latency_p50': 4.856054306030273, 'latency_p90': 5.411260485649109}, {'batch_size': 8, 'throughput': 1.2242859512899285, 'latency_mean': 6.498587642908096, 'latency_p50': 6.548216342926025, 'latency_p90': 7.415464234352112}, {'batch_size': 10, 'throughput': 1.1968975678713905, 'latency_mean': 8.311278023719787, 'latency_p50': 8.308359146118164, 'latency_p90': 9.304836773872374}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: ChaiML/albert_dpo_0912_v
model_name: edit_bottom_model_strength
model_num_parameters: 12772070400.0
model_repo: ChaiML/albert_dpo_0912_virgo_edit_variety_bottom_model_strength
model_size: 13B
num_battles: 11223
num_wins: 5645
propriety_score: 0.7532082922013821
propriety_total_count: 1013.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.19
timestamp: 2024-09-13T19:18:48+00:00
us_pacific_date: 2024-09-13
win_ratio: 0.5029849416377082
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Running pipeline stage MKMLizer
Starting job with name chaiml-albert-dpo-0912-v-2740-v1-mkmlizer
Waiting for job on chaiml-albert-dpo-0912-v-2740-v1-mkmlizer to finish
chaiml-albert-dpo-0912-v-2740-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-albert-dpo-0912-v-2740-v1-mkmlizer: ║ _____ __ __ ║
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chaiml-albert-dpo-0912-v-2740-v1-mkmlizer: ║ ║
chaiml-albert-dpo-0912-v-2740-v1-mkmlizer: ║ Version: 0.10.1 ║
chaiml-albert-dpo-0912-v-2740-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-albert-dpo-0912-v-2740-v1-mkmlizer: ║ https://mk1.ai ║
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chaiml-albert-dpo-0912-v-2740-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-albert-dpo-0912-v-2740-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-albert-dpo-0912-v-2740-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
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chaiml-albert-dpo-0912-v-2740-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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chaiml-albert-dpo-0912-v-2740-v1-mkmlizer: Downloaded to shared memory in 96.446s
chaiml-albert-dpo-0912-v-2740-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpp2wp9zo2, device:0
chaiml-albert-dpo-0912-v-2740-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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chaiml-albert-dpo-0912-v-2740-v1-mkmlizer: quantized model in 40.336s
chaiml-albert-dpo-0912-v-2740-v1-mkmlizer: Processed model ChaiML/albert_dpo_0912_virgo_edit_variety_bottom_model_strength in 136.782s
chaiml-albert-dpo-0912-v-2740-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-albert-dpo-0912-v-2740-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-albert-dpo-0912-v-2740-v1/config.json
chaiml-albert-dpo-0912-v-2740-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-albert-dpo-0912-v-2740-v1/special_tokens_map.json
chaiml-albert-dpo-0912-v-2740-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-albert-dpo-0912-v-2740-v1/tokenizer_config.json
chaiml-albert-dpo-0912-v-2740-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-albert-dpo-0912-v-2740-v1/tokenizer.json
chaiml-albert-dpo-0912-v-2740-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-albert-dpo-0912-v-2740-v1/flywheel_model.0.safetensors
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Job chaiml-albert-dpo-0912-v-2740-v1-mkmlizer completed after 168.46s with status: succeeded
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Inference service chaiml-albert-dpo-0912-v-2740-v1 ready after 181.08316946029663s
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Received healthy response to inference request in 1.627079725265503s
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5th percentile: 1.615828275680542
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mean time: 2.167037534713745
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-albert-dpo-09d387afe9a2014e8f9ccb383143d5693a-deplovlfnl:/code/chaiverse_profiler_1726255705 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-albert-dpo-09d387afe9a2014e8f9ccb383143d5693a-deplovlfnl --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726255705 && python profiles.py profile --best_of_n 8 --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 1024 --output_tokens 64 --summary /code/chaiverse_profiler_1726255705/summary.json'
kubectl exec -it chaiml-albert-dpo-09d387afe9a2014e8f9ccb383143d5693a-deplovlfnl --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726255705/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1174.26s
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Checking if service chaiml-albert-dpo-0912-v-2740-v1-profiler is running
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Pipeline stage MKMLProfilerDeleter completed in 2.42s
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chaiml-albert-dpo-0912-v_2740_v1 status is now inactive due to auto deactivation removed underperforming models