developer_uid: zmeeks
submission_id: unsloth-mistral-nemo-in_11051_v1
model_name: unsloth-mistral-nemo-in_11051_v1
model_group: unsloth/Mistral-Nemo-Ins
status: torndown
timestamp: 2025-07-10T20:41:06+00:00
num_battles: 8521
num_wins: 3869
celo_rating: 1254.99
family_friendly_score: 0.5976
family_friendly_standard_error: 0.006935044916941779
submission_type: basic
model_repo: unsloth/Mistral-Nemo-Instruct-2407
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.5941061594809189, 'latency_mean': 1.6830093622207642, 'latency_p50': 1.6997517347335815, 'latency_p90': 1.8542444467544557}, {'batch_size': 3, 'throughput': 1.0812718161519896, 'latency_mean': 2.7603464138507845, 'latency_p50': 2.751701593399048, 'latency_p90': 3.096639585494995}, {'batch_size': 5, 'throughput': 1.2876509308047557, 'latency_mean': 3.8536289525032044, 'latency_p50': 3.855562210083008, 'latency_p90': 4.402488422393799}, {'batch_size': 6, 'throughput': 1.3660899301455565, 'latency_mean': 4.366390755176544, 'latency_p50': 4.385969638824463, 'latency_p90': 4.854166793823242}, {'batch_size': 8, 'throughput': 1.4407546984890214, 'latency_mean': 5.504680230617523, 'latency_p50': 5.540956497192383, 'latency_p90': 6.2405494213104244}, {'batch_size': 10, 'throughput': 1.4496902196965362, 'latency_mean': 6.839524478912353, 'latency_p50': 6.844331622123718, 'latency_p90': 7.715120387077332}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: unsloth-mistral-nemo-in_11051_v1
is_internal_developer: False
language_model: unsloth/Mistral-Nemo-Instruct-2407
model_size: 13B
ranking_group: single
throughput_3p7s: 1.28
us_pacific_date: 2025-07-10
win_ratio: 0.4540546884168525
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, '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
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 unsloth-mistral-nemo-in-11051-v1-mkmlizer
Waiting for job on unsloth-mistral-nemo-in-11051-v1-mkmlizer to finish
unsloth-mistral-nemo-in-11051-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
unsloth-mistral-nemo-in-11051-v1-mkmlizer: ║                                                                     ║
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unsloth-mistral-nemo-in-11051-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
unsloth-mistral-nemo-in-11051-v1-mkmlizer: ║                                                                     ║
unsloth-mistral-nemo-in-11051-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
unsloth-mistral-nemo-in-11051-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
unsloth-mistral-nemo-in-11051-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
unsloth-mistral-nemo-in-11051-v1-mkmlizer: ║  https://mk1.ai                                                     ║
unsloth-mistral-nemo-in-11051-v1-mkmlizer: ║                                                                     ║
unsloth-mistral-nemo-in-11051-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
unsloth-mistral-nemo-in-11051-v1-mkmlizer: ║  belonging to:                                                      ║
unsloth-mistral-nemo-in-11051-v1-mkmlizer: ║                                                                     ║
unsloth-mistral-nemo-in-11051-v1-mkmlizer: ║  Chai Research Corp.                                                ║
unsloth-mistral-nemo-in-11051-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
unsloth-mistral-nemo-in-11051-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
unsloth-mistral-nemo-in-11051-v1-mkmlizer: ║                                                                     ║
unsloth-mistral-nemo-in-11051-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
unsloth-mistral-nemo-in-11051-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
unsloth-mistral-nemo-in-11051-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
unsloth-mistral-nemo-in-11051-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
unsloth-mistral-nemo-in-11051-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
unsloth-mistral-nemo-in-11051-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
unsloth-mistral-nemo-in-11051-v1-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
unsloth-mistral-nemo-in-11051-v1-mkmlizer: Downloaded to shared memory in 59.549s
unsloth-mistral-nemo-in-11051-v1-mkmlizer: Checking if unsloth/Mistral-Nemo-Instruct-2407 already exists in ChaiML
unsloth-mistral-nemo-in-11051-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp_wfo9kzm, device:0
unsloth-mistral-nemo-in-11051-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
unsloth-mistral-nemo-in-11051-v1-mkmlizer: quantized model in 30.152s
unsloth-mistral-nemo-in-11051-v1-mkmlizer: Processed model unsloth/Mistral-Nemo-Instruct-2407 in 89.803s
unsloth-mistral-nemo-in-11051-v1-mkmlizer: creating bucket guanaco-mkml-models
unsloth-mistral-nemo-in-11051-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
unsloth-mistral-nemo-in-11051-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/unsloth-mistral-nemo-in-11051-v1/nvidia
unsloth-mistral-nemo-in-11051-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/unsloth-mistral-nemo-in-11051-v1/nvidia/config.json
unsloth-mistral-nemo-in-11051-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/unsloth-mistral-nemo-in-11051-v1/nvidia/special_tokens_map.json
unsloth-mistral-nemo-in-11051-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/unsloth-mistral-nemo-in-11051-v1/nvidia/tokenizer_config.json
unsloth-mistral-nemo-in-11051-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/unsloth-mistral-nemo-in-11051-v1/nvidia/tokenizer.json
unsloth-mistral-nemo-in-11051-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/unsloth-mistral-nemo-in-11051-v1/nvidia/flywheel_model.0.safetensors
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Job unsloth-mistral-nemo-in-11051-v1-mkmlizer completed after 116.62s with status: succeeded
Stopping job with name unsloth-mistral-nemo-in-11051-v1-mkmlizer
Pipeline stage MKMLizer completed in 117.18s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.32s
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Running pipeline stage MKMLDeployer
Creating inference service unsloth-mistral-nemo-in-11051-v1
Waiting for inference service unsloth-mistral-nemo-in-11051-v1 to be ready
Inference service unsloth-mistral-nemo-in-11051-v1 ready after 210.8249328136444s
Pipeline stage MKMLDeployer completed in 211.36s
run pipeline stage %s
Running pipeline stage StressChecker
HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
Received unhealthy response to inference request!
Received healthy response to inference request in 3.0790796279907227s
Received healthy response to inference request in 1.9595601558685303s
Received healthy response to inference request in 1.596688985824585s
Received healthy response to inference request in 1.9630131721496582s
5 requests
1 failed requests
5th percentile: 1.6692632198333741
10th percentile: 1.741837453842163
20th percentile: 1.8869859218597411
30th percentile: 1.9602507591247558
40th percentile: 1.961631965637207
50th percentile: 1.9630131721496582
60th percentile: 2.4094397544860837
70th percentile: 2.8558663368225097
80th percentile: 6.5526796340942415
90th percentile: 13.49987964630127
95th percentile: 16.973479652404784
99th percentile: 19.7523596572876
mean time: 5.80908432006836
%s, retrying in %s seconds...
Received healthy response to inference request in 1.433497667312622s
Received healthy response to inference request in 1.9847218990325928s
Received healthy response to inference request in 1.8789043426513672s
Received healthy response to inference request in 1.5314123630523682s
Received healthy response to inference request in 1.4492175579071045s
5 requests
0 failed requests
5th percentile: 1.4366416454315185
10th percentile: 1.439785623550415
20th percentile: 1.446073579788208
30th percentile: 1.4656565189361572
40th percentile: 1.4985344409942627
50th percentile: 1.5314123630523682
60th percentile: 1.6704091548919677
70th percentile: 1.8094059467315673
80th percentile: 1.9000678539276123
90th percentile: 1.9423948764801025
95th percentile: 1.9635583877563476
99th percentile: 1.9804891967773437
mean time: 1.655550765991211
Pipeline stage StressChecker completed in 40.09s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.72s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.74s
Shutdown handler de-registered
unsloth-mistral-nemo-in_11051_v1 status is now deployed due to DeploymentManager action
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service unsloth-mistral-nemo-in-11051-v1-profiler
Waiting for inference service unsloth-mistral-nemo-in-11051-v1-profiler to be ready
Shutdown handler registered
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 4156.95s
Shutdown handler de-registered
unsloth-mistral-nemo-in_11051_v1 status is now inactive due to auto deactivation removed underperforming models
unsloth-mistral-nemo-in_11051_v1 status is now torndown due to DeploymentManager action