developer_uid: azuruce
submission_id: chaiml-small-story-telli_1710_v3
model_name: chaiml-small-story-telli_1710_v3
model_group: ChaiML/small_story_telli
status: inactive
timestamp: 2024-11-19T17:04:53+00:00
num_battles: 13173
num_wins: 6015
celo_rating: 1218.68
family_friendly_score: 0.5724
family_friendly_standard_error: 0.006996545433283485
submission_type: basic
model_repo: ChaiML/small_story_telling_241119_albert_v1
model_architecture: MistralForCausalLM
model_num_parameters: 22247282688.0
best_of: 4
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.3899738605446381, 'latency_mean': 2.564173222780228, 'latency_p50': 2.5454330444335938, 'latency_p90': 2.8267589569091798}, {'batch_size': 3, 'throughput': 0.8257114914749076, 'latency_mean': 3.6213330531120302, 'latency_p50': 3.587849974632263, 'latency_p90': 4.001270365715027}, {'batch_size': 5, 'throughput': 1.0927697135287244, 'latency_mean': 4.539780064821243, 'latency_p50': 4.5458115339279175, 'latency_p90': 5.170697259902954}, {'batch_size': 6, 'throughput': 1.1849229728833321, 'latency_mean': 5.03130940079689, 'latency_p50': 5.030814051628113, 'latency_p90': 5.699578595161438}, {'batch_size': 10, 'throughput': 1.3993467169277312, 'latency_mean': 7.086398320198059, 'latency_p50': 7.037872552871704, 'latency_p90': 8.111077666282654}]
gpu_counts: {'NVIDIA RTX A6000': 1}
display_name: chaiml-small-story-telli_1710_v3
is_internal_developer: True
language_model: ChaiML/small_story_telling_241119_albert_v1
model_size: 22B
ranking_group: single
throughput_3p7s: 0.86
us_pacific_date: 2024-11-19
win_ratio: 0.45661580505579596
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|>', '<|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
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run pipeline %s
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Running pipeline stage MKMLizer
Starting job with name chaiml-small-story-telli-1710-v3-mkmlizer
Waiting for job on chaiml-small-story-telli-1710-v3-mkmlizer to finish
chaiml-small-story-telli-1710-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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chaiml-small-story-telli-1710-v3-mkmlizer: ║ ║
chaiml-small-story-telli-1710-v3-mkmlizer: ║ Version: 0.11.12 ║
chaiml-small-story-telli-1710-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-small-story-telli-1710-v3-mkmlizer: ║ https://mk1.ai ║
chaiml-small-story-telli-1710-v3-mkmlizer: ║ ║
chaiml-small-story-telli-1710-v3-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-small-story-telli-1710-v3-mkmlizer: ║ belonging to: ║
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chaiml-small-story-telli-1710-v3-mkmlizer: ║ Chai Research Corp. ║
chaiml-small-story-telli-1710-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-small-story-telli-1710-v3-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
chaiml-small-story-telli-1710-v3-mkmlizer: ║ ║
chaiml-small-story-telli-1710-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-small-story-telli-1710-v3-mkmlizer: Downloaded to shared memory in 55.445s
chaiml-small-story-telli-1710-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmplmcpumlg, device:0
chaiml-small-story-telli-1710-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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chaiml-small-story-telli-1710-v3-mkmlizer: quantized model in 43.066s
chaiml-small-story-telli-1710-v3-mkmlizer: Processed model ChaiML/small_story_telling_241119_albert_v1 in 98.511s
chaiml-small-story-telli-1710-v3-mkmlizer: creating bucket guanaco-mkml-models
chaiml-small-story-telli-1710-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-small-story-telli-1710-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-small-story-telli-1710-v3
chaiml-small-story-telli-1710-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-small-story-telli-1710-v3/config.json
chaiml-small-story-telli-1710-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-small-story-telli-1710-v3/special_tokens_map.json
chaiml-small-story-telli-1710-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-small-story-telli-1710-v3/tokenizer_config.json
chaiml-small-story-telli-1710-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-small-story-telli-1710-v3/tokenizer.json
chaiml-small-story-telli-1710-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-small-story-telli-1710-v3/flywheel_model.1.safetensors
chaiml-small-story-telli-1710-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-small-story-telli-1710-v3/flywheel_model.0.safetensors
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Job chaiml-small-story-telli-1710-v3-mkmlizer completed after 126.24s with status: succeeded
Stopping job with name chaiml-small-story-telli-1710-v3-mkmlizer
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Failed to get response for submission sao10k-mn-12b-lyra-v4a1_v3: ('http://sao10k-mn-12b-lyra-v4a1-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:37222->127.0.0.1:8080: read: connection reset by peer\n')
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Inference service chaiml-small-story-telli-1710-v3 ready after 210.83210062980652s
Pipeline stage MKMLDeployer completed in 211.44s
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Received healthy response to inference request in 1.5440418720245361s
Received healthy response to inference request in 1.5997920036315918s
Received healthy response to inference request in 2.0690457820892334s
Received healthy response to inference request in 1.489367961883545s
Received healthy response to inference request in 2.442211866378784s
5 requests
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5th percentile: 1.5003027439117431
10th percentile: 1.5112375259399413
20th percentile: 1.533107089996338
30th percentile: 1.5551918983459472
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50th percentile: 1.5997920036315918
60th percentile: 1.7874935150146485
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80th percentile: 2.1436789989471436
90th percentile: 2.2929454326629637
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mean time: 1.828891897201538
Pipeline stage StressChecker completed in 10.77s
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