chaiml-horror-sft-v1-5e4

developer_uid: zonemercy

submission_id: chaiml-horror-sft-v1-5e4_v4

model_name: chaiml-horror-sft-v1-5e4_v4

model_group: ChaiML/Horror-SFT-v1-5e4

status: torndown

timestamp: 2024-09-04T18:51:39+00:00

num_battles: 15612

num_wins: 7372

celo_rating: 1219.81

family_friendly_score: 0.0

submission_type: basic

model_repo: ChaiML/Horror-SFT-v1-5e4

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 4

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.6312790085140114, 'latency_mean': 1.5839922201633454, 'latency_p50': 1.5913647413253784, 'latency_p90': 1.7390347480773927}, {'batch_size': 3, 'throughput': 1.2549009883525895, 'latency_mean': 2.3857004868984224, 'latency_p50': 2.3731067180633545, 'latency_p90': 2.666810727119446}, {'batch_size': 5, 'throughput': 1.550682821638745, 'latency_mean': 3.2125500905513764, 'latency_p50': 3.2153502702713013, 'latency_p90': 3.581123399734497}, {'batch_size': 6, 'throughput': 1.6311849408580519, 'latency_mean': 3.6560885643959047, 'latency_p50': 3.6703665256500244, 'latency_p90': 4.113134956359863}, {'batch_size': 8, 'throughput': 1.75704367401583, 'latency_mean': 4.517397012710571, 'latency_p50': 4.532354831695557, 'latency_p90': 5.177727627754211}, {'batch_size': 10, 'throughput': 1.7844081400526468, 'latency_mean': 5.557697819471359, 'latency_p50': 5.556841015815735, 'latency_p90': 6.245243120193481}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: chaiml-horror-sft-v1-5e4_v4

is_internal_developer: True

language_model: ChaiML/Horror-SFT-v1-5e4

model_size: 13B

ranking_group: single

throughput_3p7s: 1.65

us_pacific_date: 2024-09-04

win_ratio: 0.4722008711247758

generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 100, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>'], 'max_input_tokens': 1024, 'best_of': 4, 'max_output_tokens': 64}

formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}

Resubmit model

run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name chaiml-horror-sft-v1-5e4-v4-mkmlizer
Waiting for job on chaiml-horror-sft-v1-5e4-v4-mkmlizer to finish
chaiml-horror-sft-v1-5e4-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-horror-sft-v1-5e4-v4-mkmlizer: ║     _____            __           __                                ║
chaiml-horror-sft-v1-5e4-v4-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
chaiml-horror-sft-v1-5e4-v4-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
chaiml-horror-sft-v1-5e4-v4-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
chaiml-horror-sft-v1-5e4-v4-mkmlizer: ║       /___/                                                         ║
chaiml-horror-sft-v1-5e4-v4-mkmlizer: ║                                                                     ║
chaiml-horror-sft-v1-5e4-v4-mkmlizer: ║  Version: 0.10.1                                                    ║
chaiml-horror-sft-v1-5e4-v4-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
chaiml-horror-sft-v1-5e4-v4-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-horror-sft-v1-5e4-v4-mkmlizer: ║                                                                     ║
chaiml-horror-sft-v1-5e4-v4-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-horror-sft-v1-5e4-v4-mkmlizer: ║  belonging to:                                                      ║
chaiml-horror-sft-v1-5e4-v4-mkmlizer: ║                                                                     ║
chaiml-horror-sft-v1-5e4-v4-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-horror-sft-v1-5e4-v4-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-horror-sft-v1-5e4-v4-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
chaiml-horror-sft-v1-5e4-v4-mkmlizer: ║                                                                     ║
chaiml-horror-sft-v1-5e4-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-horror-sft-v1-5e4-v4-mkmlizer: Downloaded to shared memory in 32.374s
chaiml-horror-sft-v1-5e4-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpyn1e0r3n, device:0
chaiml-horror-sft-v1-5e4-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-horror-sft-v1-5e4-v4-mkmlizer: quantized model in 36.523s
chaiml-horror-sft-v1-5e4-v4-mkmlizer: Processed model ChaiML/Horror-SFT-v1-5e4 in 68.898s
chaiml-horror-sft-v1-5e4-v4-mkmlizer: creating bucket guanaco-mkml-models
chaiml-horror-sft-v1-5e4-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-horror-sft-v1-5e4-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-horror-sft-v1-5e4-v4
chaiml-horror-sft-v1-5e4-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-horror-sft-v1-5e4-v4/config.json
chaiml-horror-sft-v1-5e4-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-horror-sft-v1-5e4-v4/special_tokens_map.json
chaiml-horror-sft-v1-5e4-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-horror-sft-v1-5e4-v4/tokenizer_config.json
chaiml-horror-sft-v1-5e4-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-horror-sft-v1-5e4-v4/tokenizer.json
chaiml-horror-sft-v1-5e4-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-horror-sft-v1-5e4-v4/flywheel_model.0.safetensors
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Job chaiml-horror-sft-v1-5e4-v4-mkmlizer completed after 95.58s with status: succeeded
Stopping job with name chaiml-horror-sft-v1-5e4-v4-mkmlizer
Pipeline stage MKMLizer completed in 96.84s
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Pipeline stage MKMLTemplater completed in 0.07s
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-horror-sft-v1-5e4-v4
Waiting for inference service chaiml-horror-sft-v1-5e4-v4 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service chaiml-horror-sft-v1-5e4-v4 ready after 151.0112407207489s
Pipeline stage MKMLDeployer completed in 151.56s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.28361439704895s
Received healthy response to inference request in 1.407423973083496s
Received healthy response to inference request in 1.539534568786621s
Received healthy response to inference request in 1.757667064666748s
Received healthy response to inference request in 1.9119601249694824s
5 requests
0 failed requests
5th percentile: 1.4338460922241212
10th percentile: 1.460268211364746
20th percentile: 1.513112449645996
30th percentile: 1.5831610679626464
40th percentile: 1.6704140663146974
50th percentile: 1.757667064666748
60th percentile: 1.8193842887878418
70th percentile: 1.8811015129089355
80th percentile: 1.986290979385376
90th percentile: 2.134952688217163
95th percentile: 2.2092835426330564
99th percentile: 2.2687482261657714
mean time: 1.7800400257110596
Pipeline stage StressChecker completed in 10.05s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 4.46s
chaiml-horror-sft-v1-5e4_v4 status is now deployed due to DeploymentManager action
Shutdown handler registered
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Skipping teardown as no inference service was successfully deployed
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Pipeline stage MKMLProfilerTemplater completed in 0.13s
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Creating inference service chaiml-horror-sft-v1-5e4-v4-profiler
Waiting for inference service chaiml-horror-sft-v1-5e4-v4-profiler to be ready
Inference service chaiml-horror-sft-v1-5e4-v4-profiler ready after 140.38757991790771s
Pipeline stage MKMLProfilerDeployer completed in 140.74s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-horror-sft-v1-5e4-v4-profiler-predictor-00001-deplos4nsk:/code/chaiverse_profiler_1725476343 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-horror-sft-v1-5e4-v4-profiler-predictor-00001-deplos4nsk --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725476343 && python profiles.py profile --best_of_n 4 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 1024 --output_tokens 64 --summary /code/chaiverse_profiler_1725476343/summary.json'
Received signal 15, running shutdown handler
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Running pipeline stage MKMLProfilerDeleter
Checking if service chaiml-horror-sft-v1-5e4-v4-profiler is running
Tearing down inference service chaiml-horror-sft-v1-5e4-v4-profiler
Service chaiml-horror-sft-v1-5e4-v4-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.84s
Shutdown handler de-registered
chaiml-horror-sft-v1-5e4_v4 status is now inactive due to auto deactivation removed underperforming models
Shutdown handler registered
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Running pipeline stage MKMLProfilerDeleter
Checking if service chaiml-horror-sft-v1-5e4-v4-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 1.67s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.11s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-horror-sft-v1-5e4-v4-profiler
Waiting for inference service chaiml-horror-sft-v1-5e4-v4-profiler to be ready
Inference service chaiml-horror-sft-v1-5e4-v4-profiler ready after 150.3594822883606s
Pipeline stage MKMLProfilerDeployer completed in 150.72s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-horror-sft-v1-5e4-v4-profiler-predictor-00001-deplo8bwbg:/code/chaiverse_profiler_1725485315 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-horror-sft-v1-5e4-v4-profiler-predictor-00001-deplo8bwbg --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725485315 && python profiles.py profile --best_of_n 4 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 1024 --output_tokens 64 --summary /code/chaiverse_profiler_1725485315/summary.json'
kubectl exec -it chaiml-horror-sft-v1-5e4-v4-profiler-predictor-00001-deplo8bwbg --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725485315/summary.json'
Pipeline stage MKMLProfilerRunner completed in 959.86s
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Running pipeline stage MKMLProfilerDeleter
Checking if service chaiml-horror-sft-v1-5e4-v4-profiler is running
Tearing down inference service chaiml-horror-sft-v1-5e4-v4-profiler
Service chaiml-horror-sft-v1-5e4-v4-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.56s
Shutdown handler de-registered
chaiml-horror-sft-v1-5e4_v4 status is now torndown due to DeploymentManager action