Image-Text-to-Text
Transformers
Safetensors
qwen3_5_moe
fp4
qwen
nvfp4
vllm
llm-compressor
compressed-tensors
conversational
8-bit precision
Instructions to use RedHatAI/Qwen3.6-35B-A3B-NVFP4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RedHatAI/Qwen3.6-35B-A3B-NVFP4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="RedHatAI/Qwen3.6-35B-A3B-NVFP4") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages)# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("RedHatAI/Qwen3.6-35B-A3B-NVFP4") model = AutoModelForMultimodalLM.from_pretrained("RedHatAI/Qwen3.6-35B-A3B-NVFP4", device_map="auto") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] inputs = processor.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use RedHatAI/Qwen3.6-35B-A3B-NVFP4 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "RedHatAI/Qwen3.6-35B-A3B-NVFP4" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "RedHatAI/Qwen3.6-35B-A3B-NVFP4", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker
docker model run hf.co/RedHatAI/Qwen3.6-35B-A3B-NVFP4
- SGLang
How to use RedHatAI/Qwen3.6-35B-A3B-NVFP4 with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "RedHatAI/Qwen3.6-35B-A3B-NVFP4" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "RedHatAI/Qwen3.6-35B-A3B-NVFP4", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "RedHatAI/Qwen3.6-35B-A3B-NVFP4" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "RedHatAI/Qwen3.6-35B-A3B-NVFP4", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }' - Docker Model Runner
How to use RedHatAI/Qwen3.6-35B-A3B-NVFP4 with Docker Model Runner:
docker model run hf.co/RedHatAI/Qwen3.6-35B-A3B-NVFP4
Commit ·
54d4831
1
Parent(s): db94449
add bf16 every eval ever
Browse files- bf16_every_eval_ever/aime25.json +127 -0
- bf16_every_eval_ever/gpqa_diamond.json +85 -0
- bf16_every_eval_ever/gsm8k_platinum_cot_llama.json +121 -0
- bf16_every_eval_ever/ifeval.json +215 -0
- bf16_every_eval_ever/lcb_codegeneration_v6.json +85 -0
- bf16_every_eval_ever/math_500.json +82 -0
- bf16_every_eval_ever/mmlu_pro_chat.json +55 -0
bf16_every_eval_ever/aime25.json
ADDED
|
@@ -0,0 +1,127 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "aime25|0/Qwen/Qwen3.6-35B-A3B/1782386750.923367",
|
| 4 |
+
"evaluation_timestamp": "11302276",
|
| 5 |
+
"retrieved_timestamp": "1782386750.923367",
|
| 6 |
+
"source_metadata": {
|
| 7 |
+
"source_name": "lighteval",
|
| 8 |
+
"source_type": "evaluation_run",
|
| 9 |
+
"source_organization_name": "RedHatAI",
|
| 10 |
+
"evaluator_relationship": "third_party"
|
| 11 |
+
},
|
| 12 |
+
"eval_library": {
|
| 13 |
+
"name": "lighteval",
|
| 14 |
+
"version": "6f0f351abfd7c06004bf0dcdaeab14c8f289b86c"
|
| 15 |
+
},
|
| 16 |
+
"model_info": {
|
| 17 |
+
"name": "Qwen/Qwen3.6-35B-A3B",
|
| 18 |
+
"id": "Qwen/Qwen3.6-35B-A3B",
|
| 19 |
+
"developer": "Qwen",
|
| 20 |
+
"inference_engine": {
|
| 21 |
+
"name": "vllm"
|
| 22 |
+
},
|
| 23 |
+
"additional_details": {
|
| 24 |
+
"provider": "hosted_vllm",
|
| 25 |
+
"base_url": "http://0.0.0.0:8700/v1",
|
| 26 |
+
"concurrent_requests": "16",
|
| 27 |
+
"verbose": "False",
|
| 28 |
+
"api_max_retry": "8",
|
| 29 |
+
"api_retry_sleep": "1.0",
|
| 30 |
+
"api_retry_multiplier": "2.0",
|
| 31 |
+
"timeout": "1200.0",
|
| 32 |
+
"num_seeds_merged": "8"
|
| 33 |
+
}
|
| 34 |
+
},
|
| 35 |
+
"evaluation_results": [
|
| 36 |
+
{
|
| 37 |
+
"evaluation_name": "aime25",
|
| 38 |
+
"source_data": {
|
| 39 |
+
"dataset_name": "aime25",
|
| 40 |
+
"source_type": "hf_dataset",
|
| 41 |
+
"hf_repo": "yentinglin/aime_2025",
|
| 42 |
+
"hf_split": "train"
|
| 43 |
+
},
|
| 44 |
+
"metric_config": {
|
| 45 |
+
"evaluation_description": "pass@k:k=1&n=1",
|
| 46 |
+
"lower_is_better": false,
|
| 47 |
+
"score_type": "continuous",
|
| 48 |
+
"min_score": 0.0,
|
| 49 |
+
"max_score": 1.0
|
| 50 |
+
},
|
| 51 |
+
"score_details": {
|
| 52 |
+
"score": 0.9291666666666667,
|
| 53 |
+
"details": {
|
| 54 |
+
"seed_scores": "[0.9333333333333333, 0.9333333333333333, 0.9333333333333333, 0.9333333333333333, 0.9333333333333333, 0.9, 0.9333333333333333, 0.9333333333333333]",
|
| 55 |
+
"evaluation_timestamps": "[11302276, 11303332, 11304489, 11305762, 11307069, 11308407, 11309761, 11311085]",
|
| 56 |
+
"seed_values": "[42, 1234, 4158, 5322, 1356, 9843, 3344, 5678]"
|
| 57 |
+
},
|
| 58 |
+
"uncertainty": {
|
| 59 |
+
"standard_error": {
|
| 60 |
+
"value": 0.004166666666666666,
|
| 61 |
+
"method": "across_seeds"
|
| 62 |
+
},
|
| 63 |
+
"num_samples": 8
|
| 64 |
+
}
|
| 65 |
+
},
|
| 66 |
+
"generation_config": {
|
| 67 |
+
"generation_args": {
|
| 68 |
+
"temperature": 1.0,
|
| 69 |
+
"top_p": 0.95,
|
| 70 |
+
"top_k": 20.0,
|
| 71 |
+
"max_tokens": 64000,
|
| 72 |
+
"max_attempts": 1
|
| 73 |
+
},
|
| 74 |
+
"additional_details": {
|
| 75 |
+
"seed": "42",
|
| 76 |
+
"min_p": "0.0",
|
| 77 |
+
"num_fewshot": "0"
|
| 78 |
+
}
|
| 79 |
+
}
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"evaluation_name": "aime25",
|
| 83 |
+
"source_data": {
|
| 84 |
+
"dataset_name": "aime25",
|
| 85 |
+
"source_type": "hf_dataset",
|
| 86 |
+
"hf_repo": "yentinglin/aime_2025",
|
| 87 |
+
"hf_split": "train"
|
| 88 |
+
},
|
| 89 |
+
"metric_config": {
|
| 90 |
+
"evaluation_description": "avg@n:n=1",
|
| 91 |
+
"lower_is_better": false,
|
| 92 |
+
"score_type": "continuous",
|
| 93 |
+
"min_score": 0.0,
|
| 94 |
+
"max_score": 1.0
|
| 95 |
+
},
|
| 96 |
+
"score_details": {
|
| 97 |
+
"score": 0.9291666666666667,
|
| 98 |
+
"details": {
|
| 99 |
+
"seed_scores": "[0.9333333333333333, 0.9333333333333333, 0.9333333333333333, 0.9333333333333333, 0.9333333333333333, 0.9, 0.9333333333333333, 0.9333333333333333]",
|
| 100 |
+
"evaluation_timestamps": "[11302276, 11303332, 11304489, 11305762, 11307069, 11308407, 11309761, 11311085]",
|
| 101 |
+
"seed_values": "[42, 1234, 4158, 5322, 1356, 9843, 3344, 5678]"
|
| 102 |
+
},
|
| 103 |
+
"uncertainty": {
|
| 104 |
+
"standard_error": {
|
| 105 |
+
"value": 0.004166666666666666,
|
| 106 |
+
"method": "across_seeds"
|
| 107 |
+
},
|
| 108 |
+
"num_samples": 8
|
| 109 |
+
}
|
| 110 |
+
},
|
| 111 |
+
"generation_config": {
|
| 112 |
+
"generation_args": {
|
| 113 |
+
"temperature": 1.0,
|
| 114 |
+
"top_p": 0.95,
|
| 115 |
+
"top_k": 20.0,
|
| 116 |
+
"max_tokens": 64000,
|
| 117 |
+
"max_attempts": 1
|
| 118 |
+
},
|
| 119 |
+
"additional_details": {
|
| 120 |
+
"seed": "42",
|
| 121 |
+
"min_p": "0.0",
|
| 122 |
+
"num_fewshot": "0"
|
| 123 |
+
}
|
| 124 |
+
}
|
| 125 |
+
}
|
| 126 |
+
]
|
| 127 |
+
}
|
bf16_every_eval_ever/gpqa_diamond.json
ADDED
|
@@ -0,0 +1,85 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "gpqa:diamond|0/Qwen/Qwen3.6-35B-A3B/1782386774.185584",
|
| 4 |
+
"evaluation_timestamp": "11312355",
|
| 5 |
+
"retrieved_timestamp": "1782386774.185584",
|
| 6 |
+
"source_metadata": {
|
| 7 |
+
"source_name": "lighteval",
|
| 8 |
+
"source_type": "evaluation_run",
|
| 9 |
+
"source_organization_name": "RedHatAI",
|
| 10 |
+
"evaluator_relationship": "third_party"
|
| 11 |
+
},
|
| 12 |
+
"eval_library": {
|
| 13 |
+
"name": "lighteval",
|
| 14 |
+
"version": "6f0f351abfd7c06004bf0dcdaeab14c8f289b86c"
|
| 15 |
+
},
|
| 16 |
+
"model_info": {
|
| 17 |
+
"name": "Qwen/Qwen3.6-35B-A3B",
|
| 18 |
+
"id": "Qwen/Qwen3.6-35B-A3B",
|
| 19 |
+
"developer": "Qwen",
|
| 20 |
+
"inference_engine": {
|
| 21 |
+
"name": "vllm"
|
| 22 |
+
},
|
| 23 |
+
"additional_details": {
|
| 24 |
+
"provider": "hosted_vllm",
|
| 25 |
+
"base_url": "http://0.0.0.0:8700/v1",
|
| 26 |
+
"concurrent_requests": "16",
|
| 27 |
+
"verbose": "False",
|
| 28 |
+
"api_max_retry": "8",
|
| 29 |
+
"api_retry_sleep": "1.0",
|
| 30 |
+
"api_retry_multiplier": "2.0",
|
| 31 |
+
"timeout": "1200.0",
|
| 32 |
+
"num_seeds_merged": "3"
|
| 33 |
+
}
|
| 34 |
+
},
|
| 35 |
+
"evaluation_results": [
|
| 36 |
+
{
|
| 37 |
+
"evaluation_name": "gpqa:diamond",
|
| 38 |
+
"source_data": {
|
| 39 |
+
"dataset_name": "gpqa:diamond",
|
| 40 |
+
"source_type": "hf_dataset",
|
| 41 |
+
"hf_repo": "Idavidrein/gpqa",
|
| 42 |
+
"hf_split": "train",
|
| 43 |
+
"additional_details": {
|
| 44 |
+
"hf_subset": "gpqa_diamond"
|
| 45 |
+
}
|
| 46 |
+
},
|
| 47 |
+
"metric_config": {
|
| 48 |
+
"evaluation_description": "gpqa_pass@k:k=1",
|
| 49 |
+
"lower_is_better": false,
|
| 50 |
+
"score_type": "continuous",
|
| 51 |
+
"min_score": 0.0,
|
| 52 |
+
"max_score": 1.0
|
| 53 |
+
},
|
| 54 |
+
"score_details": {
|
| 55 |
+
"score": 0.8451178451178452,
|
| 56 |
+
"details": {
|
| 57 |
+
"seed_scores": "[0.8333333333333334, 0.8434343434343434, 0.8585858585858586]",
|
| 58 |
+
"evaluation_timestamps": "[11312355, 11314987, 11316709]",
|
| 59 |
+
"seed_values": "[42, 1234, 4158]"
|
| 60 |
+
},
|
| 61 |
+
"uncertainty": {
|
| 62 |
+
"standard_error": {
|
| 63 |
+
"value": 0.007338213709664417,
|
| 64 |
+
"method": "across_seeds"
|
| 65 |
+
},
|
| 66 |
+
"num_samples": 3
|
| 67 |
+
}
|
| 68 |
+
},
|
| 69 |
+
"generation_config": {
|
| 70 |
+
"generation_args": {
|
| 71 |
+
"temperature": 1.0,
|
| 72 |
+
"top_p": 0.95,
|
| 73 |
+
"top_k": 20.0,
|
| 74 |
+
"max_tokens": 64000,
|
| 75 |
+
"max_attempts": 1
|
| 76 |
+
},
|
| 77 |
+
"additional_details": {
|
| 78 |
+
"seed": "42",
|
| 79 |
+
"min_p": "0.0",
|
| 80 |
+
"num_fewshot": "0"
|
| 81 |
+
}
|
| 82 |
+
}
|
| 83 |
+
}
|
| 84 |
+
]
|
| 85 |
+
}
|
bf16_every_eval_ever/gsm8k_platinum_cot_llama.json
ADDED
|
@@ -0,0 +1,121 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "gsm8k_platinum_cot_llama/Qwen/Qwen3.6-35B-A3B/1782386692.42944",
|
| 4 |
+
"evaluation_timestamp": "1782269407",
|
| 5 |
+
"retrieved_timestamp": "1782386692.42944",
|
| 6 |
+
"source_metadata": {
|
| 7 |
+
"source_name": "lm-evaluation-harness",
|
| 8 |
+
"source_type": "evaluation_run",
|
| 9 |
+
"source_organization_name": "RedHatAI",
|
| 10 |
+
"evaluator_relationship": "third_party"
|
| 11 |
+
},
|
| 12 |
+
"eval_library": {
|
| 13 |
+
"name": "lm_eval",
|
| 14 |
+
"version": "0.4.13.dev0"
|
| 15 |
+
},
|
| 16 |
+
"model_info": {
|
| 17 |
+
"name": "Qwen/Qwen3.6-35B-A3B",
|
| 18 |
+
"id": "Qwen/Qwen3.6-35B-A3B",
|
| 19 |
+
"developer": "Qwen",
|
| 20 |
+
"additional_details": {
|
| 21 |
+
"model_args": "{'model': 'Qwen/Qwen3.6-35B-A3B', 'max_length': 262144, 'base_url': 'http://0.0.0.0:8700/v1/chat/completions', 'num_concurrent': 64, 'max_retries': 3, 'tokenized_requests': False, 'tokenizer_backend': None, 'timeout': 1200}",
|
| 22 |
+
"num_seeds_merged": "3"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"evaluation_results": [
|
| 26 |
+
{
|
| 27 |
+
"evaluation_name": "gsm8k_platinum_cot_llama/strict-match",
|
| 28 |
+
"source_data": {
|
| 29 |
+
"dataset_name": "gsm8k_platinum_cot_llama",
|
| 30 |
+
"source_type": "hf_dataset",
|
| 31 |
+
"hf_repo": "madrylab/gsm8k-platinum",
|
| 32 |
+
"hf_split": "test"
|
| 33 |
+
},
|
| 34 |
+
"metric_config": {
|
| 35 |
+
"evaluation_description": "exact_match (filter: strict-match)",
|
| 36 |
+
"lower_is_better": false,
|
| 37 |
+
"score_type": "continuous",
|
| 38 |
+
"min_score": 0.0,
|
| 39 |
+
"max_score": 1.0
|
| 40 |
+
},
|
| 41 |
+
"score_details": {
|
| 42 |
+
"score": 0.9572649572649573,
|
| 43 |
+
"details": {
|
| 44 |
+
"seed_scores": "[0.9561621174524401, 0.9594706368899917, 0.9561621174524401]",
|
| 45 |
+
"evaluation_timestamps": "[1782271494, 1782273956, 1782269407]",
|
| 46 |
+
"seed_values": "[1234, 4158, 42]"
|
| 47 |
+
},
|
| 48 |
+
"uncertainty": {
|
| 49 |
+
"standard_error": {
|
| 50 |
+
"value": 0.0011028398125172052,
|
| 51 |
+
"method": "across_seeds"
|
| 52 |
+
},
|
| 53 |
+
"num_samples": 3
|
| 54 |
+
}
|
| 55 |
+
},
|
| 56 |
+
"generation_config": {
|
| 57 |
+
"generation_args": {
|
| 58 |
+
"temperature": 1.0,
|
| 59 |
+
"top_p": 0.95,
|
| 60 |
+
"top_k": 20.0,
|
| 61 |
+
"max_tokens": 64000,
|
| 62 |
+
"max_attempts": 1
|
| 63 |
+
},
|
| 64 |
+
"additional_details": {
|
| 65 |
+
"do_sample": "true",
|
| 66 |
+
"until": "[\"<|eot_id|>\", \"<|start_header_id|>user<|end_header_id|>\", \"Q:\", \"</s>\", \"<|im_end|>\"]",
|
| 67 |
+
"min_p": "0.0",
|
| 68 |
+
"seed": "1234",
|
| 69 |
+
"num_fewshot": "0"
|
| 70 |
+
}
|
| 71 |
+
}
|
| 72 |
+
},
|
| 73 |
+
{
|
| 74 |
+
"evaluation_name": "gsm8k_platinum_cot_llama/flexible-extract",
|
| 75 |
+
"source_data": {
|
| 76 |
+
"dataset_name": "gsm8k_platinum_cot_llama",
|
| 77 |
+
"source_type": "hf_dataset",
|
| 78 |
+
"hf_repo": "madrylab/gsm8k-platinum",
|
| 79 |
+
"hf_split": "test"
|
| 80 |
+
},
|
| 81 |
+
"metric_config": {
|
| 82 |
+
"evaluation_description": "exact_match (filter: flexible-extract)",
|
| 83 |
+
"lower_is_better": false,
|
| 84 |
+
"score_type": "continuous",
|
| 85 |
+
"min_score": 0.0,
|
| 86 |
+
"max_score": 1.0
|
| 87 |
+
},
|
| 88 |
+
"score_details": {
|
| 89 |
+
"score": 0.9586435070306039,
|
| 90 |
+
"details": {
|
| 91 |
+
"seed_scores": "[0.9586435070306039, 0.9602977667493796, 0.956989247311828]",
|
| 92 |
+
"evaluation_timestamps": "[1782271494, 1782273956, 1782269407]",
|
| 93 |
+
"seed_values": "[1234, 4158, 42]"
|
| 94 |
+
},
|
| 95 |
+
"uncertainty": {
|
| 96 |
+
"standard_error": {
|
| 97 |
+
"value": 0.0009550872939447674,
|
| 98 |
+
"method": "across_seeds"
|
| 99 |
+
},
|
| 100 |
+
"num_samples": 3
|
| 101 |
+
}
|
| 102 |
+
},
|
| 103 |
+
"generation_config": {
|
| 104 |
+
"generation_args": {
|
| 105 |
+
"temperature": 1.0,
|
| 106 |
+
"top_p": 0.95,
|
| 107 |
+
"top_k": 20.0,
|
| 108 |
+
"max_tokens": 64000,
|
| 109 |
+
"max_attempts": 1
|
| 110 |
+
},
|
| 111 |
+
"additional_details": {
|
| 112 |
+
"do_sample": "true",
|
| 113 |
+
"until": "[\"<|eot_id|>\", \"<|start_header_id|>user<|end_header_id|>\", \"Q:\", \"</s>\", \"<|im_end|>\"]",
|
| 114 |
+
"min_p": "0.0",
|
| 115 |
+
"seed": "1234",
|
| 116 |
+
"num_fewshot": "0"
|
| 117 |
+
}
|
| 118 |
+
}
|
| 119 |
+
}
|
| 120 |
+
]
|
| 121 |
+
}
|
bf16_every_eval_ever/ifeval.json
ADDED
|
@@ -0,0 +1,215 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "ifeval/Qwen/Qwen3.6-35B-A3B/1782386605.760545",
|
| 4 |
+
"evaluation_timestamp": "1782270017",
|
| 5 |
+
"retrieved_timestamp": "1782386605.760545",
|
| 6 |
+
"source_metadata": {
|
| 7 |
+
"source_name": "lm-evaluation-harness",
|
| 8 |
+
"source_type": "evaluation_run",
|
| 9 |
+
"source_organization_name": "RedHatAI",
|
| 10 |
+
"evaluator_relationship": "third_party"
|
| 11 |
+
},
|
| 12 |
+
"eval_library": {
|
| 13 |
+
"name": "lm_eval",
|
| 14 |
+
"version": "0.4.13.dev0"
|
| 15 |
+
},
|
| 16 |
+
"model_info": {
|
| 17 |
+
"name": "Qwen/Qwen3.6-35B-A3B",
|
| 18 |
+
"id": "Qwen/Qwen3.6-35B-A3B",
|
| 19 |
+
"developer": "Qwen",
|
| 20 |
+
"additional_details": {
|
| 21 |
+
"model_args": "{'model': 'Qwen/Qwen3.6-35B-A3B', 'max_length': 262144, 'base_url': 'http://0.0.0.0:8700/v1/chat/completions', 'num_concurrent': 64, 'max_retries': 3, 'tokenized_requests': False, 'tokenizer_backend': None, 'timeout': 1200}",
|
| 22 |
+
"num_seeds_merged": "3"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"evaluation_results": [
|
| 26 |
+
{
|
| 27 |
+
"evaluation_name": "ifeval",
|
| 28 |
+
"source_data": {
|
| 29 |
+
"dataset_name": "ifeval",
|
| 30 |
+
"source_type": "hf_dataset",
|
| 31 |
+
"hf_repo": "google/IFEval",
|
| 32 |
+
"hf_split": "train"
|
| 33 |
+
},
|
| 34 |
+
"metric_config": {
|
| 35 |
+
"evaluation_description": "prompt_level_strict_acc",
|
| 36 |
+
"lower_is_better": false,
|
| 37 |
+
"score_type": "continuous",
|
| 38 |
+
"min_score": 0.0,
|
| 39 |
+
"max_score": 1.0
|
| 40 |
+
},
|
| 41 |
+
"score_details": {
|
| 42 |
+
"score": 0.9014171287738755,
|
| 43 |
+
"details": {
|
| 44 |
+
"seed_scores": "[0.9020332717190388, 0.9020332717190388, 0.9001848428835489]",
|
| 45 |
+
"evaluation_timestamps": "[1782272527, 1782274610, 1782270017]",
|
| 46 |
+
"seed_values": "[1234, 4158, 42]"
|
| 47 |
+
},
|
| 48 |
+
"uncertainty": {
|
| 49 |
+
"standard_error": {
|
| 50 |
+
"value": 0.0006161429451632857,
|
| 51 |
+
"method": "across_seeds"
|
| 52 |
+
},
|
| 53 |
+
"num_samples": 3
|
| 54 |
+
}
|
| 55 |
+
},
|
| 56 |
+
"generation_config": {
|
| 57 |
+
"generation_args": {
|
| 58 |
+
"temperature": 1.0,
|
| 59 |
+
"top_p": 0.95,
|
| 60 |
+
"top_k": 20.0,
|
| 61 |
+
"max_tokens": 64000,
|
| 62 |
+
"max_attempts": 1
|
| 63 |
+
},
|
| 64 |
+
"additional_details": {
|
| 65 |
+
"until": "[]",
|
| 66 |
+
"do_sample": "true",
|
| 67 |
+
"min_p": "0.0",
|
| 68 |
+
"seed": "1234",
|
| 69 |
+
"num_fewshot": "0"
|
| 70 |
+
}
|
| 71 |
+
}
|
| 72 |
+
},
|
| 73 |
+
{
|
| 74 |
+
"evaluation_name": "ifeval",
|
| 75 |
+
"source_data": {
|
| 76 |
+
"dataset_name": "ifeval",
|
| 77 |
+
"source_type": "hf_dataset",
|
| 78 |
+
"hf_repo": "google/IFEval",
|
| 79 |
+
"hf_split": "train"
|
| 80 |
+
},
|
| 81 |
+
"metric_config": {
|
| 82 |
+
"evaluation_description": "inst_level_strict_acc",
|
| 83 |
+
"lower_is_better": false,
|
| 84 |
+
"score_type": "continuous",
|
| 85 |
+
"min_score": 0.0,
|
| 86 |
+
"max_score": 1.0
|
| 87 |
+
},
|
| 88 |
+
"score_details": {
|
| 89 |
+
"score": 0.9308553157474021,
|
| 90 |
+
"details": {
|
| 91 |
+
"seed_scores": "[0.9316546762589928, 0.9328537170263789, 0.9280575539568345]",
|
| 92 |
+
"evaluation_timestamps": "[1782272527, 1782274610, 1782270017]",
|
| 93 |
+
"seed_values": "[1234, 4158, 42]"
|
| 94 |
+
},
|
| 95 |
+
"uncertainty": {
|
| 96 |
+
"standard_error": {
|
| 97 |
+
"value": 0.0014410676560607384,
|
| 98 |
+
"method": "across_seeds"
|
| 99 |
+
},
|
| 100 |
+
"num_samples": 3
|
| 101 |
+
}
|
| 102 |
+
},
|
| 103 |
+
"generation_config": {
|
| 104 |
+
"generation_args": {
|
| 105 |
+
"temperature": 1.0,
|
| 106 |
+
"top_p": 0.95,
|
| 107 |
+
"top_k": 20.0,
|
| 108 |
+
"max_tokens": 64000,
|
| 109 |
+
"max_attempts": 1
|
| 110 |
+
},
|
| 111 |
+
"additional_details": {
|
| 112 |
+
"until": "[]",
|
| 113 |
+
"do_sample": "true",
|
| 114 |
+
"min_p": "0.0",
|
| 115 |
+
"seed": "1234",
|
| 116 |
+
"num_fewshot": "0"
|
| 117 |
+
}
|
| 118 |
+
}
|
| 119 |
+
},
|
| 120 |
+
{
|
| 121 |
+
"evaluation_name": "ifeval",
|
| 122 |
+
"source_data": {
|
| 123 |
+
"dataset_name": "ifeval",
|
| 124 |
+
"source_type": "hf_dataset",
|
| 125 |
+
"hf_repo": "google/IFEval",
|
| 126 |
+
"hf_split": "train"
|
| 127 |
+
},
|
| 128 |
+
"metric_config": {
|
| 129 |
+
"evaluation_description": "prompt_level_loose_acc",
|
| 130 |
+
"lower_is_better": false,
|
| 131 |
+
"score_type": "continuous",
|
| 132 |
+
"min_score": 0.0,
|
| 133 |
+
"max_score": 1.0
|
| 134 |
+
},
|
| 135 |
+
"score_details": {
|
| 136 |
+
"score": 0.9285274183610598,
|
| 137 |
+
"details": {
|
| 138 |
+
"seed_scores": "[0.9279112754158965, 0.933456561922366, 0.9242144177449169]",
|
| 139 |
+
"evaluation_timestamps": "[1782272527, 1782274610, 1782270017]",
|
| 140 |
+
"seed_values": "[1234, 4158, 42]"
|
| 141 |
+
},
|
| 142 |
+
"uncertainty": {
|
| 143 |
+
"standard_error": {
|
| 144 |
+
"value": 0.002685704832742256,
|
| 145 |
+
"method": "across_seeds"
|
| 146 |
+
},
|
| 147 |
+
"num_samples": 3
|
| 148 |
+
}
|
| 149 |
+
},
|
| 150 |
+
"generation_config": {
|
| 151 |
+
"generation_args": {
|
| 152 |
+
"temperature": 1.0,
|
| 153 |
+
"top_p": 0.95,
|
| 154 |
+
"top_k": 20.0,
|
| 155 |
+
"max_tokens": 64000,
|
| 156 |
+
"max_attempts": 1
|
| 157 |
+
},
|
| 158 |
+
"additional_details": {
|
| 159 |
+
"until": "[]",
|
| 160 |
+
"do_sample": "true",
|
| 161 |
+
"min_p": "0.0",
|
| 162 |
+
"seed": "1234",
|
| 163 |
+
"num_fewshot": "0"
|
| 164 |
+
}
|
| 165 |
+
}
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"evaluation_name": "ifeval",
|
| 169 |
+
"source_data": {
|
| 170 |
+
"dataset_name": "ifeval",
|
| 171 |
+
"source_type": "hf_dataset",
|
| 172 |
+
"hf_repo": "google/IFEval",
|
| 173 |
+
"hf_split": "train"
|
| 174 |
+
},
|
| 175 |
+
"metric_config": {
|
| 176 |
+
"evaluation_description": "inst_level_loose_acc",
|
| 177 |
+
"lower_is_better": false,
|
| 178 |
+
"score_type": "continuous",
|
| 179 |
+
"min_score": 0.0,
|
| 180 |
+
"max_score": 1.0
|
| 181 |
+
},
|
| 182 |
+
"score_details": {
|
| 183 |
+
"score": 0.9484412470023981,
|
| 184 |
+
"details": {
|
| 185 |
+
"seed_scores": "[0.9484412470023981, 0.9532374100719424, 0.9436450839328537]",
|
| 186 |
+
"evaluation_timestamps": "[1782272527, 1782274610, 1782270017]",
|
| 187 |
+
"seed_values": "[1234, 4158, 42]"
|
| 188 |
+
},
|
| 189 |
+
"uncertainty": {
|
| 190 |
+
"standard_error": {
|
| 191 |
+
"value": 0.0027690660392787636,
|
| 192 |
+
"method": "across_seeds"
|
| 193 |
+
},
|
| 194 |
+
"num_samples": 3
|
| 195 |
+
}
|
| 196 |
+
},
|
| 197 |
+
"generation_config": {
|
| 198 |
+
"generation_args": {
|
| 199 |
+
"temperature": 1.0,
|
| 200 |
+
"top_p": 0.95,
|
| 201 |
+
"top_k": 20.0,
|
| 202 |
+
"max_tokens": 64000,
|
| 203 |
+
"max_attempts": 1
|
| 204 |
+
},
|
| 205 |
+
"additional_details": {
|
| 206 |
+
"until": "[]",
|
| 207 |
+
"do_sample": "true",
|
| 208 |
+
"min_p": "0.0",
|
| 209 |
+
"seed": "1234",
|
| 210 |
+
"num_fewshot": "0"
|
| 211 |
+
}
|
| 212 |
+
}
|
| 213 |
+
}
|
| 214 |
+
]
|
| 215 |
+
}
|
bf16_every_eval_ever/lcb_codegeneration_v6.json
ADDED
|
@@ -0,0 +1,85 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "lcb:codegeneration_v6|0/Qwen/Qwen3.6-35B-A3B/1782386822.083653",
|
| 4 |
+
"evaluation_timestamp": "11343229",
|
| 5 |
+
"retrieved_timestamp": "1782386822.083653",
|
| 6 |
+
"source_metadata": {
|
| 7 |
+
"source_name": "lighteval",
|
| 8 |
+
"source_type": "evaluation_run",
|
| 9 |
+
"source_organization_name": "RedHatAI",
|
| 10 |
+
"evaluator_relationship": "third_party"
|
| 11 |
+
},
|
| 12 |
+
"eval_library": {
|
| 13 |
+
"name": "lighteval",
|
| 14 |
+
"version": "6f0f351abfd7c06004bf0dcdaeab14c8f289b86c"
|
| 15 |
+
},
|
| 16 |
+
"model_info": {
|
| 17 |
+
"name": "Qwen/Qwen3.6-35B-A3B",
|
| 18 |
+
"id": "Qwen/Qwen3.6-35B-A3B",
|
| 19 |
+
"developer": "Qwen",
|
| 20 |
+
"inference_engine": {
|
| 21 |
+
"name": "vllm"
|
| 22 |
+
},
|
| 23 |
+
"additional_details": {
|
| 24 |
+
"provider": "hosted_vllm",
|
| 25 |
+
"base_url": "http://0.0.0.0:8700/v1",
|
| 26 |
+
"concurrent_requests": "16",
|
| 27 |
+
"verbose": "False",
|
| 28 |
+
"api_max_retry": "8",
|
| 29 |
+
"api_retry_sleep": "1.0",
|
| 30 |
+
"api_retry_multiplier": "2.0",
|
| 31 |
+
"timeout": "1200.0",
|
| 32 |
+
"num_seeds_merged": "3"
|
| 33 |
+
}
|
| 34 |
+
},
|
| 35 |
+
"evaluation_results": [
|
| 36 |
+
{
|
| 37 |
+
"evaluation_name": "lcb:codegeneration_v6",
|
| 38 |
+
"source_data": {
|
| 39 |
+
"dataset_name": "lcb:codegeneration_v6",
|
| 40 |
+
"source_type": "hf_dataset",
|
| 41 |
+
"hf_repo": "lighteval/code_generation_lite",
|
| 42 |
+
"hf_split": "test",
|
| 43 |
+
"additional_details": {
|
| 44 |
+
"hf_subset": "v6"
|
| 45 |
+
}
|
| 46 |
+
},
|
| 47 |
+
"metric_config": {
|
| 48 |
+
"evaluation_description": "codegen_pass@1:16",
|
| 49 |
+
"lower_is_better": false,
|
| 50 |
+
"score_type": "continuous",
|
| 51 |
+
"min_score": 0.0,
|
| 52 |
+
"max_score": 1.0
|
| 53 |
+
},
|
| 54 |
+
"score_details": {
|
| 55 |
+
"score": 0.7733333333333333,
|
| 56 |
+
"details": {
|
| 57 |
+
"seed_scores": "[0.7828571428571428, 0.7542857142857143, 0.7828571428571428]",
|
| 58 |
+
"evaluation_timestamps": "[11343229, 11345199, 11355037]",
|
| 59 |
+
"seed_values": "[42, 1234, 4158]"
|
| 60 |
+
},
|
| 61 |
+
"uncertainty": {
|
| 62 |
+
"standard_error": {
|
| 63 |
+
"value": 0.009523809523809492,
|
| 64 |
+
"method": "across_seeds"
|
| 65 |
+
},
|
| 66 |
+
"num_samples": 3
|
| 67 |
+
}
|
| 68 |
+
},
|
| 69 |
+
"generation_config": {
|
| 70 |
+
"generation_args": {
|
| 71 |
+
"temperature": 1.0,
|
| 72 |
+
"top_p": 0.95,
|
| 73 |
+
"top_k": 20.0,
|
| 74 |
+
"max_tokens": 64000,
|
| 75 |
+
"max_attempts": 1
|
| 76 |
+
},
|
| 77 |
+
"additional_details": {
|
| 78 |
+
"seed": "42",
|
| 79 |
+
"min_p": "0.0",
|
| 80 |
+
"num_fewshot": "0"
|
| 81 |
+
}
|
| 82 |
+
}
|
| 83 |
+
}
|
| 84 |
+
]
|
| 85 |
+
}
|
bf16_every_eval_ever/math_500.json
ADDED
|
@@ -0,0 +1,82 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "math_500|0/Qwen/Qwen3.6-35B-A3B/1782386797.165193",
|
| 4 |
+
"evaluation_timestamp": "11267660",
|
| 5 |
+
"retrieved_timestamp": "1782386797.165193",
|
| 6 |
+
"source_metadata": {
|
| 7 |
+
"source_name": "lighteval",
|
| 8 |
+
"source_type": "evaluation_run",
|
| 9 |
+
"source_organization_name": "RedHatAI",
|
| 10 |
+
"evaluator_relationship": "third_party"
|
| 11 |
+
},
|
| 12 |
+
"eval_library": {
|
| 13 |
+
"name": "lighteval",
|
| 14 |
+
"version": "6f0f351abfd7c06004bf0dcdaeab14c8f289b86c"
|
| 15 |
+
},
|
| 16 |
+
"model_info": {
|
| 17 |
+
"name": "Qwen/Qwen3.6-35B-A3B",
|
| 18 |
+
"id": "Qwen/Qwen3.6-35B-A3B",
|
| 19 |
+
"developer": "Qwen",
|
| 20 |
+
"inference_engine": {
|
| 21 |
+
"name": "vllm"
|
| 22 |
+
},
|
| 23 |
+
"additional_details": {
|
| 24 |
+
"provider": "hosted_vllm",
|
| 25 |
+
"base_url": "http://0.0.0.0:8700/v1",
|
| 26 |
+
"concurrent_requests": "16",
|
| 27 |
+
"verbose": "False",
|
| 28 |
+
"api_max_retry": "8",
|
| 29 |
+
"api_retry_sleep": "1.0",
|
| 30 |
+
"api_retry_multiplier": "2.0",
|
| 31 |
+
"timeout": "1200.0",
|
| 32 |
+
"num_seeds_merged": "3"
|
| 33 |
+
}
|
| 34 |
+
},
|
| 35 |
+
"evaluation_results": [
|
| 36 |
+
{
|
| 37 |
+
"evaluation_name": "math_500",
|
| 38 |
+
"source_data": {
|
| 39 |
+
"dataset_name": "math_500",
|
| 40 |
+
"source_type": "hf_dataset",
|
| 41 |
+
"hf_repo": "HuggingFaceH4/MATH-500",
|
| 42 |
+
"hf_split": "test"
|
| 43 |
+
},
|
| 44 |
+
"metric_config": {
|
| 45 |
+
"evaluation_description": "pass@k:k=1&n=1",
|
| 46 |
+
"lower_is_better": false,
|
| 47 |
+
"score_type": "continuous",
|
| 48 |
+
"min_score": 0.0,
|
| 49 |
+
"max_score": 1.0
|
| 50 |
+
},
|
| 51 |
+
"score_details": {
|
| 52 |
+
"score": 0.848,
|
| 53 |
+
"details": {
|
| 54 |
+
"seed_scores": "[0.846, 0.85, 0.848]",
|
| 55 |
+
"evaluation_timestamps": "[11267660, 11274842, 11281738]",
|
| 56 |
+
"seed_values": "[42, 1234, 4158]"
|
| 57 |
+
},
|
| 58 |
+
"uncertainty": {
|
| 59 |
+
"standard_error": {
|
| 60 |
+
"value": 0.0011547005383792527,
|
| 61 |
+
"method": "across_seeds"
|
| 62 |
+
},
|
| 63 |
+
"num_samples": 3
|
| 64 |
+
}
|
| 65 |
+
},
|
| 66 |
+
"generation_config": {
|
| 67 |
+
"generation_args": {
|
| 68 |
+
"temperature": 1.0,
|
| 69 |
+
"top_p": 0.95,
|
| 70 |
+
"top_k": 20.0,
|
| 71 |
+
"max_tokens": 64000,
|
| 72 |
+
"max_attempts": 1
|
| 73 |
+
},
|
| 74 |
+
"additional_details": {
|
| 75 |
+
"seed": "42",
|
| 76 |
+
"min_p": "0.0",
|
| 77 |
+
"num_fewshot": "0"
|
| 78 |
+
}
|
| 79 |
+
}
|
| 80 |
+
}
|
| 81 |
+
]
|
| 82 |
+
}
|
bf16_every_eval_ever/mmlu_pro_chat.json
ADDED
|
@@ -0,0 +1,55 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": "0.2.2",
|
| 3 |
+
"evaluation_id": "mmlu_pro_chat/Qwen/Qwen3.6-35B-A3B/1782386635.276605",
|
| 4 |
+
"evaluation_timestamp": "1782275992",
|
| 5 |
+
"retrieved_timestamp": "1782386635.276605",
|
| 6 |
+
"source_metadata": {
|
| 7 |
+
"source_name": "lm-evaluation-harness",
|
| 8 |
+
"source_type": "evaluation_run",
|
| 9 |
+
"source_organization_name": "RedHatAI",
|
| 10 |
+
"evaluator_relationship": "third_party"
|
| 11 |
+
},
|
| 12 |
+
"eval_library": {
|
| 13 |
+
"name": "lm_eval",
|
| 14 |
+
"version": "0.4.13.dev0"
|
| 15 |
+
},
|
| 16 |
+
"model_info": {
|
| 17 |
+
"name": "Qwen/Qwen3.6-35B-A3B",
|
| 18 |
+
"id": "Qwen/Qwen3.6-35B-A3B",
|
| 19 |
+
"developer": "Qwen",
|
| 20 |
+
"additional_details": {
|
| 21 |
+
"model_args": "{'model': 'Qwen/Qwen3.6-35B-A3B', 'max_length': 262144, 'base_url': 'http://0.0.0.0:8700/v1/chat/completions', 'num_concurrent': 64, 'max_retries': 3, 'tokenized_requests': False, 'tokenizer_backend': None, 'timeout': 1200}",
|
| 22 |
+
"num_seeds_merged": "3"
|
| 23 |
+
}
|
| 24 |
+
},
|
| 25 |
+
"evaluation_results": [
|
| 26 |
+
{
|
| 27 |
+
"evaluation_name": "mmlu_pro_chat/custom-extract",
|
| 28 |
+
"source_data": {
|
| 29 |
+
"dataset_name": "mmlu_pro_chat",
|
| 30 |
+
"source_type": "other"
|
| 31 |
+
},
|
| 32 |
+
"metric_config": {
|
| 33 |
+
"evaluation_description": "exact_match (filter: custom-extract)",
|
| 34 |
+
"lower_is_better": false,
|
| 35 |
+
"score_type": "continuous",
|
| 36 |
+
"min_score": 0.0,
|
| 37 |
+
"max_score": 1.0
|
| 38 |
+
},
|
| 39 |
+
"score_details": {
|
| 40 |
+
"score": 0.8531693262411347,
|
| 41 |
+
"details": {
|
| 42 |
+
"seed_scores": "[0.856216755319149, 0.8533909574468085, 0.8499002659574468]",
|
| 43 |
+
"evaluation_timestamps": "[1782346537, 1782362973, 1782275992]"
|
| 44 |
+
},
|
| 45 |
+
"uncertainty": {
|
| 46 |
+
"standard_error": {
|
| 47 |
+
"value": 0.0018267776509125202,
|
| 48 |
+
"method": "across_seeds"
|
| 49 |
+
},
|
| 50 |
+
"num_samples": 3
|
| 51 |
+
}
|
| 52 |
+
}
|
| 53 |
+
}
|
| 54 |
+
]
|
| 55 |
+
}
|