developer_uid: Hastagaras
submission_id: bintangfortuna-llama3-1-_2138_v1
model_name: test
model_group: BintangFortuna/Llama3.1-
status: inactive
timestamp: 2024-12-04T07:40:20+00:00
num_battles: 8740
num_wins: 3832
celo_rating: 1220.21
family_friendly_score: 0.5796
family_friendly_standard_error: 0.006980885903665809
submission_type: basic
model_repo: BintangFortuna/Llama3.1-Reddit-Writer-8B
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.8686905790246531, 'latency_mean': 1.151098302602768, 'latency_p50': 1.1576240062713623, 'latency_p90': 1.2654017686843873}, {'batch_size': 4, 'throughput': 1.8734046088746679, 'latency_mean': 2.126859210729599, 'latency_p50': 2.1053601503372192, 'latency_p90': 2.347424602508545}, {'batch_size': 5, 'throughput': 2.0147708748645057, 'latency_mean': 2.471214146614075, 'latency_p50': 2.4702260494232178, 'latency_p90': 2.7524718046188354}, {'batch_size': 8, 'throughput': 2.2325109173461537, 'latency_mean': 3.5487966525554655, 'latency_p50': 3.558024287223816, 'latency_p90': 3.997678017616272}, {'batch_size': 10, 'throughput': 2.302658168255922, 'latency_mean': 4.309334642887116, 'latency_p50': 4.323877930641174, 'latency_p90': 4.905727076530456}, {'batch_size': 12, 'throughput': 2.321270800218259, 'latency_mean': 5.119635723829269, 'latency_p50': 5.1062339544296265, 'latency_p90': 5.8414421558380125}, {'batch_size': 15, 'throughput': 2.316282108500265, 'latency_mean': 6.390875890254974, 'latency_p50': 6.3620277643203735, 'latency_p90': 7.076369190216064}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: test
is_internal_developer: False
language_model: BintangFortuna/Llama3.1-Reddit-Writer-8B
model_size: 8B
ranking_group: single
throughput_3p7s: 2.27
us_pacific_date: 2024-12-03
win_ratio: 0.43844393592677344
generation_params: {'temperature': 0.95, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 60, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|eot_id|>'], '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\nYou're {bot_name}\nPersona: {memory}\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
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name bintangfortuna-llama3-1-2138-v1-mkmlizer
Waiting for job on bintangfortuna-llama3-1-2138-v1-mkmlizer to finish
bintangfortuna-llama3-1-2138-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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bintangfortuna-llama3-1-2138-v1-mkmlizer: ║ Version: 0.11.12 ║
bintangfortuna-llama3-1-2138-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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bintangfortuna-llama3-1-2138-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
bintangfortuna-llama3-1-2138-v1-mkmlizer: Downloaded to shared memory in 35.156s
bintangfortuna-llama3-1-2138-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp84f62x_u, device:0
bintangfortuna-llama3-1-2138-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
bintangfortuna-llama3-1-2138-v1-mkmlizer: quantized model in 26.035s
bintangfortuna-llama3-1-2138-v1-mkmlizer: Processed model BintangFortuna/Llama3.1-Reddit-Writer-8B in 61.191s
bintangfortuna-llama3-1-2138-v1-mkmlizer: creating bucket guanaco-mkml-models
bintangfortuna-llama3-1-2138-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
bintangfortuna-llama3-1-2138-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/bintangfortuna-llama3-1-2138-v1
bintangfortuna-llama3-1-2138-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/bintangfortuna-llama3-1-2138-v1/tokenizer.json
bintangfortuna-llama3-1-2138-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/bintangfortuna-llama3-1-2138-v1/flywheel_model.0.safetensors
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Job bintangfortuna-llama3-1-2138-v1-mkmlizer completed after 83.6s with status: succeeded
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Pipeline stage MKMLizer completed in 84.19s
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Pipeline stage StressChecker completed in 9.13s
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