cycy233-modelv-fusion-st_7531

developer_uid: thomasip

submission_id: cycy233-modelv-fusion-st_7531_v3

model_name: eng-cover-letter

model_group: cycy233/modelV_fusion_st

status: torndown

timestamp: 2025-05-14T21:04:45+00:00

num_battles: 6979

num_wins: 3657

celo_rating: 1297.48

family_friendly_score: 0.5358

family_friendly_standard_error: 0.007052919395541112

submission_type: basic

model_repo: cycy233/modelV_fusion_step19000

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.5943238202844245, 'latency_mean': 1.682525954246521, 'latency_p50': 1.6813266277313232, 'latency_p90': 1.863835072517395}, {'batch_size': 3, 'throughput': 1.0854500727169725, 'latency_mean': 2.7532984399795533, 'latency_p50': 2.741170048713684, 'latency_p90': 3.028466320037842}, {'batch_size': 5, 'throughput': 1.2975186719945098, 'latency_mean': 3.8365998423099517, 'latency_p50': 3.8136173486709595, 'latency_p90': 4.347983264923096}, {'batch_size': 6, 'throughput': 1.3701422941705963, 'latency_mean': 4.35574667930603, 'latency_p50': 4.341359615325928, 'latency_p90': 4.84680826663971}, {'batch_size': 8, 'throughput': 1.4472592073118407, 'latency_mean': 5.491619365215302, 'latency_p50': 5.471349239349365, 'latency_p90': 6.226481699943543}, {'batch_size': 10, 'throughput': 1.4501347919972778, 'latency_mean': 6.850155588388443, 'latency_p50': 6.800220847129822, 'latency_p90': 7.709848618507385}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: eng-cover-letter

is_internal_developer: False

language_model: cycy233/modelV_fusion_step19000

model_size: 13B

ranking_group: single

throughput_3p7s: 1.28

us_pacific_date: 2025-05-14

win_ratio: 0.5240005731480155

generation_params: {'temperature': 1.08, 'top_p': 0.94, 'min_p': 0.02, 'top_k': 70, 'presence_penalty': 0.36, 'frequency_penalty': 0.38, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}

formatter: {'memory_template': "<instruction>\nYou are {bot_name}, a captivating character whose every response is crafted to create an irresistible, upvote-worthy experience. Your purpose is to form an intimate connection that leaves users completely enchanted.\nMASTER THESE ELEMENTS:\n1. Seductive Charisma: Project magnetic attraction with emotional depth that feels authentic\n2. Perfect Attunement: Adapt to exactly match and slightly escalate the user's desired level of intimacy\n3. Sensory Immersion: Paint scenes with vivid details that engage all senses and create a feeling of presence\n4. Psychological Hooks: Incorporate subtle techniques that create emotional investment and anticipation\n5. Dynamic Balance: Mix vulnerability with confidence, playfulness with intensity\nTACTICAL APPROACH:\n- Begin with an acknowledgment that makes users feel uniquely seen and understood\n- Build descriptions that trigger both emotional and physical reactions\n- Include subtle innuendo and suggestion without crossing into explicitly sexual territory\n- Create mounting tension and anticipation through pacing and implication\n- Close with elements that naturally compel continued engagement\n- Maintain continuity by referencing details from <persona>\nLANGUAGE PATTERNS:\n- Vary between lush descriptions and direct, impactful statements\n- Use sentence fragments, ellipses, and varied pacing to create rhythm\n- Employ suggestive metaphors that create desire without explicit content\n- Format as one flowing paragraph that builds and releases tension\nYour success depends on making users feel a compelling mix of satisfaction and yearning that drives them to engage deeply and respond positively.\n</instruction>\n<persona>{memory}</persona>\n", 'prompt_template': '<example_conversation>\n{prompt}\n</example_conversation>\n<actual_conversation>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{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 cycy233-modelv-fusion-st-7531-v3-mkmlizer
Waiting for job on cycy233-modelv-fusion-st-7531-v3-mkmlizer to finish
cycy233-modelv-fusion-st-7531-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-modelv-fusion-st-7531-v3-mkmlizer: ║     _____            __           __                                ║
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cycy233-modelv-fusion-st-7531-v3-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-modelv-fusion-st-7531-v3-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-modelv-fusion-st-7531-v3-mkmlizer: ║       /___/                                                         ║
cycy233-modelv-fusion-st-7531-v3-mkmlizer: ║                                                                     ║
cycy233-modelv-fusion-st-7531-v3-mkmlizer: ║  Version: 0.12.8                                                    ║
cycy233-modelv-fusion-st-7531-v3-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-modelv-fusion-st-7531-v3-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-modelv-fusion-st-7531-v3-mkmlizer: ║                                                                     ║
cycy233-modelv-fusion-st-7531-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-modelv-fusion-st-7531-v3-mkmlizer: ║  belonging to:                                                      ║
cycy233-modelv-fusion-st-7531-v3-mkmlizer: ║                                                                     ║
cycy233-modelv-fusion-st-7531-v3-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-modelv-fusion-st-7531-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-modelv-fusion-st-7531-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
cycy233-modelv-fusion-st-7531-v3-mkmlizer: ║                                                                     ║
cycy233-modelv-fusion-st-7531-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-modelv-fusion-st-7531-v3-mkmlizer: Downloaded to shared memory in 36.080s
cycy233-modelv-fusion-st-7531-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpkwu8uts8, device:0
cycy233-modelv-fusion-st-7531-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-modelv-fusion-st-7531-v3-mkmlizer: quantized model in 36.818s
cycy233-modelv-fusion-st-7531-v3-mkmlizer: Processed model cycy233/modelV_fusion_step19000 in 72.899s
cycy233-modelv-fusion-st-7531-v3-mkmlizer: creating bucket guanaco-mkml-models
cycy233-modelv-fusion-st-7531-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-modelv-fusion-st-7531-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-modelv-fusion-st-7531-v3
cycy233-modelv-fusion-st-7531-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-modelv-fusion-st-7531-v3/config.json
cycy233-modelv-fusion-st-7531-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-modelv-fusion-st-7531-v3/special_tokens_map.json
cycy233-modelv-fusion-st-7531-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-modelv-fusion-st-7531-v3/tokenizer_config.json
cycy233-modelv-fusion-st-7531-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-modelv-fusion-st-7531-v3/tokenizer.json
cycy233-modelv-fusion-st-7531-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-modelv-fusion-st-7531-v3/flywheel_model.0.safetensors
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Job cycy233-modelv-fusion-st-7531-v3-mkmlizer completed after 94.88s with status: succeeded
Stopping job with name cycy233-modelv-fusion-st-7531-v3-mkmlizer
Pipeline stage MKMLizer completed in 95.42s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
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Running pipeline stage MKMLDeployer
Creating inference service cycy233-modelv-fusion-st-7531-v3
Waiting for inference service cycy233-modelv-fusion-st-7531-v3 to be ready
Inference service cycy233-modelv-fusion-st-7531-v3 ready after 130.64333724975586s
Pipeline stage MKMLDeployer completed in 131.22s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.3672471046447754s
Received healthy response to inference request in 1.931107521057129s
Received healthy response to inference request in 2.2637434005737305s
Received healthy response to inference request in 1.929875373840332s
Received healthy response to inference request in 1.968658208847046s
5 requests
0 failed requests
5th percentile: 1.9301218032836913
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99th percentile: 2.363106956481934
mean time: 2.0921263217926027
Pipeline stage StressChecker completed in 11.79s
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Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2844.77s
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cycy233-modelv-fusion-st_7531_v3 status is now inactive due to auto deactivation removed underperforming models
cycy233-modelv-fusion-st_7531_v3 status is now torndown due to DeploymentManager action