developer_uid: Sao10K
submission_id: sao10k-l3-1-8b-steertama-run3_v1
model_name: Steertama-L3-run3
model_group: Sao10K/L3.1-8B-Steertama
status: inactive
timestamp: 2024-12-03T16:03:04+00:00
num_battles: 15084
num_wins: 7236
celo_rating: 1246.1
family_friendly_score: 0.5716
family_friendly_standard_error: 0.006998191766449387
submission_type: basic
model_repo: Sao10K/L3.1-8B-Steertama-run3
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.8761803290160431, 'latency_mean': 1.1412308883666993, 'latency_p50': 1.1330140829086304, 'latency_p90': 1.2755433082580565}, {'batch_size': 4, 'throughput': 1.8609796299151167, 'latency_mean': 2.145872303247452, 'latency_p50': 2.1483969688415527, 'latency_p90': 2.3417091369628906}, {'batch_size': 5, 'throughput': 2.0057922354342095, 'latency_mean': 2.483677568435669, 'latency_p50': 2.50421142578125, 'latency_p90': 2.7632090568542482}, {'batch_size': 8, 'throughput': 2.211363349915924, 'latency_mean': 3.5922047555446626, 'latency_p50': 3.631543278694153, 'latency_p90': 3.972628355026245}, {'batch_size': 10, 'throughput': 2.285140599620583, 'latency_mean': 4.337631202936173, 'latency_p50': 4.361972451210022, 'latency_p90': 4.8620442152023315}, {'batch_size': 12, 'throughput': 2.3095063705062215, 'latency_mean': 5.147253729104996, 'latency_p50': 5.146102547645569, 'latency_p90': 5.921677565574646}, {'batch_size': 15, 'throughput': 2.3201647252875697, 'latency_mean': 6.382589526176453, 'latency_p50': 6.414957523345947, 'latency_p90': 7.1417536497116085}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: Steertama-L3-run3
is_internal_developer: False
language_model: Sao10K/L3.1-8B-Steertama-run3
model_size: 8B
ranking_group: single
throughput_3p7s: 2.24
us_pacific_date: 2024-12-03
win_ratio: 0.4797136038186158
generation_params: {'temperature': 1.1, 'top_p': 1.0, 'min_p': 0.1, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|eot_id|>', '\nYou:'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n{bot_name}'s Persona: {memory}\n\n", 'prompt_template': '{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}: {message}<|eot_id|>', 'user_template': '<|start_header_id|>user<|end_header_id|>\n\n{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}:', 'truncate_by_message': False}
Resubmit model
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Running pipeline stage MKMLizer
Starting job with name sao10k-l3-1-8b-steertama-run3-v1-mkmlizer
Waiting for job on sao10k-l3-1-8b-steertama-run3-v1-mkmlizer to finish
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sao10k-l3-1-8b-steertama-run3-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
sao10k-l3-1-8b-steertama-run3-v1-mkmlizer: ║ _____ __ __ ║
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sao10k-l3-1-8b-steertama-run3-v1-mkmlizer: ║ ║
sao10k-l3-1-8b-steertama-run3-v1-mkmlizer: ║ Version: 0.11.12 ║
sao10k-l3-1-8b-steertama-run3-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
sao10k-l3-1-8b-steertama-run3-v1-mkmlizer: ║ https://mk1.ai ║
sao10k-l3-1-8b-steertama-run3-v1-mkmlizer: ║ ║
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sao10k-l3-1-8b-steertama-run3-v1-mkmlizer: ║ belonging to: ║
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sao10k-l3-1-8b-steertama-run3-v1-mkmlizer: ║ Chai Research Corp. ║
sao10k-l3-1-8b-steertama-run3-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
sao10k-l3-1-8b-steertama-run3-v1-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
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sao10k-l3-1-8b-steertama-run3-v1-mkmlizer: Downloaded to shared memory in 36.829s
sao10k-l3-1-8b-steertama-run3-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp9xhzif7u, device:0
sao10k-l3-1-8b-steertama-run3-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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sao10k-l3-1-8b-steertama-run3-v1-mkmlizer: quantized model in 26.712s
sao10k-l3-1-8b-steertama-run3-v1-mkmlizer: Processed model Sao10K/L3.1-8B-Steertama-run3 in 63.541s
sao10k-l3-1-8b-steertama-run3-v1-mkmlizer: creating bucket guanaco-mkml-models
sao10k-l3-1-8b-steertama-run3-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
sao10k-l3-1-8b-steertama-run3-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/sao10k-l3-1-8b-steertama-run3-v1
sao10k-l3-1-8b-steertama-run3-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/sao10k-l3-1-8b-steertama-run3-v1/config.json
sao10k-l3-1-8b-steertama-run3-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/sao10k-l3-1-8b-steertama-run3-v1/special_tokens_map.json
sao10k-l3-1-8b-steertama-run3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/sao10k-l3-1-8b-steertama-run3-v1/tokenizer_config.json
sao10k-l3-1-8b-steertama-run3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/sao10k-l3-1-8b-steertama-run3-v1/tokenizer.json
sao10k-l3-1-8b-steertama-run3-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/sao10k-l3-1-8b-steertama-run3-v1/flywheel_model.0.safetensors
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Job sao10k-l3-1-8b-steertama-run3-v1-mkmlizer completed after 93.83s with status: succeeded
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Inference service sao10k-l3-1-8b-steertama-run3-v1 ready after 150.4949836730957s
Pipeline stage MKMLDeployer completed in 151.09s
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Received healthy response to inference request in 1.6989657878875732s
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Received healthy response to inference request in 1.2592060565948486s
Received healthy response to inference request in 1.202467441558838s
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10th percentile: 1.225162887573242
20th percentile: 1.2478583335876465
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mean time: 1.3756041049957275
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