chaiml-1101-quang-ir-mi_41452

developer_uid: chai_backend_admin

submission_id: chaiml-1101-quang-ir-mi_41452_v1

model_name: training123

model_group: ChaiML/1101-quang-ir-mix

status: inactive

timestamp: 2025-11-02T06:26:48+00:00

num_battles: 6524

num_wins: 3368

celo_rating: 1296.33

family_friendly_score: 0.48960000000000004

family_friendly_standard_error: 0.00706953803299763

submission_type: basic

model_repo: ChaiML/1101-quang-ir-mixnov1all-cld-iq9-adh9-onlyh2

model_architecture: MistralForCausalLM

model_num_parameters: 24096691200.0

best_of: 8

max_input_tokens: 2048

max_output_tokens: 64

reward_model: default

latencies: [{'batch_size': 1, 'throughput': 0.3833871761091738, 'latency_mean': 2.608201038837433, 'latency_p50': 2.613040328025818, 'latency_p90': 2.86511652469635}, {'batch_size': 2, 'throughput': 0.5656477616622428, 'latency_mean': 3.5290421509742735, 'latency_p50': 3.540856122970581, 'latency_p90': 3.840548300743103}, {'batch_size': 3, 'throughput': 0.7019071832349186, 'latency_mean': 4.264322292804718, 'latency_p50': 4.255448222160339, 'latency_p90': 4.695966506004333}, {'batch_size': 4, 'throughput': 0.7938348020072272, 'latency_mean': 5.019217300415039, 'latency_p50': 5.0106576681137085, 'latency_p90': 5.518054676055908}, {'batch_size': 5, 'throughput': 0.8600922106229151, 'latency_mean': 5.805487954616547, 'latency_p50': 5.79340672492981, 'latency_p90': 6.611649417877198}]

gpu_counts: {'NVIDIA L40S': 1}

display_name: training123

is_internal_developer: True

language_model: ChaiML/1101-quang-ir-mixnov1all-cld-iq9-adh9-onlyh2

model_size: 24B

ranking_group: single

throughput_3p7s: 0.6

us_pacific_date: 2025-11-01

win_ratio: 0.5162477007970571

generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['####\n', '####', 'You:', '\n', '</s>'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 64}

formatter: {'memory_template': "{bot_name}'s persona: {memory}", 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': 'You: {message}\n', 'response_template': '####\n{bot_name}:', 'truncate_by_message': True}

Resubmit model

Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
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Running pipeline stage MKMLizer
Starting job with name chaiml-1101-quang-ir-mi-41452-v1-mkmlizer
Waiting for job on chaiml-1101-quang-ir-mi-41452-v1-mkmlizer to finish
chaiml-1101-quang-ir-mi-41452-v1-mkmlizer: Downloaded to shared memory in 57.654s
chaiml-1101-quang-ir-mi-41452-v1-mkmlizer: Checking if ChaiML/1101-quang-ir-mixnov1all-cld-iq9-adh9-onlyh2 already exists in ChaiML
chaiml-1101-quang-ir-mi-41452-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpms81rish, device:0
chaiml-1101-quang-ir-mi-41452-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-1101-quang-ir-mi-41452-v1-mkmlizer: quantized model in 41.594s
chaiml-1101-quang-ir-mi-41452-v1-mkmlizer: Processed model ChaiML/1101-quang-ir-mixnov1all-cld-iq9-adh9-onlyh2 in 99.249s
chaiml-1101-quang-ir-mi-41452-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-1101-quang-ir-mi-41452-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-1101-quang-ir-mi-41452-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-1101-quang-ir-mi-41452-v1/nvidia
chaiml-1101-quang-ir-mi-41452-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-1101-quang-ir-mi-41452-v1/nvidia/config.json
chaiml-1101-quang-ir-mi-41452-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-1101-quang-ir-mi-41452-v1/nvidia/special_tokens_map.json
chaiml-1101-quang-ir-mi-41452-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-1101-quang-ir-mi-41452-v1/nvidia/tokenizer_config.json
chaiml-1101-quang-ir-mi-41452-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-1101-quang-ir-mi-41452-v1/nvidia/flywheel_model.1.safetensors
chaiml-1101-quang-ir-mi-41452-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-1101-quang-ir-mi-41452-v1/nvidia/flywheel_model.0.safetensors
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Job chaiml-1101-quang-ir-mi-41452-v1-mkmlizer completed after 154.0s with status: succeeded
Stopping job with name chaiml-1101-quang-ir-mi-41452-v1-mkmlizer
Pipeline stage MKMLizer completed in 155.47s
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-1101-quang-ir-mi-41452-v1
Waiting for inference service chaiml-1101-quang-ir-mi-41452-v1 to be ready
Inference service chaiml-1101-quang-ir-mi-41452-v1 ready after 160.632150888443s
Pipeline stage MKMLDeployer completed in 161.27s
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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 2.487051486968994s
Received healthy response to inference request in 2.524050235748291s
Received healthy response to inference request in 2.1032538414001465s
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mean time: 6.0475850105285645
%s, retrying in %s seconds...
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5th percentile: 2.105289173126221
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mean time: 2.2775064945220946
Pipeline stage StressChecker completed in 44.91s
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3230.06s
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chaiml-1101-quang-ir-mi_41452_v1 status is now inactive due to auto deactivation removed underperforming models