developer_uid: azuruce
submission_id: chaiml-small-anthropic-a_1700_v8
model_name: anthropic1120
model_group: ChaiML/small_anthropic_a
status: inactive
timestamp: 2024-11-19T21:17:59+00:00
num_battles: 7700
num_wins: 4033
celo_rating: 1271.79
family_friendly_score: 0.5836
family_friendly_standard_error: 0.0069715283833604235
submission_type: basic
model_repo: ChaiML/small_anthropic_addict_lexical_1120
model_architecture: MistralForCausalLM
model_num_parameters: 22247282688.0
best_of: 4
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.3888906624699758, 'latency_mean': 2.5713179159164428, 'latency_p50': 2.553155303001404, 'latency_p90': 2.836304712295532}, {'batch_size': 3, 'throughput': 0.8266225278288694, 'latency_mean': 3.613945071697235, 'latency_p50': 3.5865087509155273, 'latency_p90': 3.9787868738174437}, {'batch_size': 5, 'throughput': 1.0943666808044297, 'latency_mean': 4.532536927461624, 'latency_p50': 4.5018733739852905, 'latency_p90': 5.074099469184875}, {'batch_size': 6, 'throughput': 1.1926078136317815, 'latency_mean': 5.007439349889755, 'latency_p50': 4.979215860366821, 'latency_p90': 5.619408106803894}, {'batch_size': 8, 'throughput': 1.320574167771249, 'latency_mean': 6.006802421808243, 'latency_p50': 5.94534432888031, 'latency_p90': 6.946212363243103}, {'batch_size': 10, 'throughput': 1.40363049117031, 'latency_mean': 7.057158161401748, 'latency_p50': 7.011192440986633, 'latency_p90': 8.010404753684996}]
gpu_counts: {'NVIDIA RTX A6000': 1}
display_name: anthropic1120
is_internal_developer: True
language_model: ChaiML/small_anthropic_addict_lexical_1120
model_size: 22B
ranking_group: single
throughput_3p7s: 0.86
us_pacific_date: 2024-11-19
win_ratio: 0.5237662337662338
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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Running pipeline stage MKMLizer
Starting job with name chaiml-small-anthropic-a-1700-v8-mkmlizer
Waiting for job on chaiml-small-anthropic-a-1700-v8-mkmlizer to finish
chaiml-small-anthropic-a-1700-v8-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-small-anthropic-a-1700-v8-mkmlizer: ║ _____ __ __ ║
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chaiml-small-anthropic-a-1700-v8-mkmlizer: ║ /___/ ║
chaiml-small-anthropic-a-1700-v8-mkmlizer: ║ ║
chaiml-small-anthropic-a-1700-v8-mkmlizer: ║ Version: 0.11.12 ║
chaiml-small-anthropic-a-1700-v8-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-small-anthropic-a-1700-v8-mkmlizer: ║ https://mk1.ai ║
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chaiml-small-anthropic-a-1700-v8-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-small-anthropic-a-1700-v8-mkmlizer: ║ belonging to: ║
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chaiml-small-anthropic-a-1700-v8-mkmlizer: ║ Chai Research Corp. ║
chaiml-small-anthropic-a-1700-v8-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-small-anthropic-a-1700-v8-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
chaiml-small-anthropic-a-1700-v8-mkmlizer: ║ ║
chaiml-small-anthropic-a-1700-v8-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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chaiml-small-anthropic-a-1700-v8-mkmlizer: Downloaded to shared memory in 94.922s
chaiml-small-anthropic-a-1700-v8-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpdschedtk, device:0
chaiml-small-anthropic-a-1700-v8-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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chaiml-small-anthropic-a-1700-v8-mkmlizer: quantized model in 43.273s
chaiml-small-anthropic-a-1700-v8-mkmlizer: Processed model ChaiML/small_anthropic_addict_lexical_1120 in 138.195s
chaiml-small-anthropic-a-1700-v8-mkmlizer: creating bucket guanaco-mkml-models
chaiml-small-anthropic-a-1700-v8-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-small-anthropic-a-1700-v8-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-small-anthropic-a-1700-v8
chaiml-small-anthropic-a-1700-v8-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-small-anthropic-a-1700-v8/config.json
chaiml-small-anthropic-a-1700-v8-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-small-anthropic-a-1700-v8/special_tokens_map.json
chaiml-small-anthropic-a-1700-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-small-anthropic-a-1700-v8/tokenizer_config.json
chaiml-small-anthropic-a-1700-v8-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-small-anthropic-a-1700-v8/flywheel_model.1.safetensors
chaiml-small-anthropic-a-1700-v8-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-small-anthropic-a-1700-v8/flywheel_model.0.safetensors
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Job chaiml-small-anthropic-a-1700-v8-mkmlizer completed after 167.87s with status: succeeded
Stopping job with name chaiml-small-anthropic-a-1700-v8-mkmlizer
Pipeline stage MKMLizer completed in 168.59s
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Creating inference service chaiml-small-anthropic-a-1700-v8
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Waiting for inference service chaiml-small-anthropic-a-1700-v8 to be ready
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Inference service chaiml-small-anthropic-a-1700-v8 ready after 210.77457451820374s
Pipeline stage MKMLDeployer completed in 211.74s
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Received healthy response to inference request in 3.30865216255188s
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Received healthy response to inference request in 2.2166459560394287s
Received healthy response to inference request in 2.299600601196289s
Received healthy response to inference request in 2.3176779747009277s
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mean time: 2.4889018535614014
Pipeline stage StressChecker completed in 14.49s
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Pipeline stage OfflineFamilyFriendlyScorer completed in 2999.68s
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chaiml-small-anthropic-a_1700_v8 status is now inactive due to auto deactivation removed underperforming models