Text Generation
Transformers
Safetensors
qwen3
llama-factory
full
Generated from Trainer
conversational
text-generation-inference
Instructions to use DCAgent/a1-nemo_prism_math with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DCAgent/a1-nemo_prism_math with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="DCAgent/a1-nemo_prism_math") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("DCAgent/a1-nemo_prism_math") model = AutoModelForCausalLM.from_pretrained("DCAgent/a1-nemo_prism_math") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.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(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use DCAgent/a1-nemo_prism_math with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "DCAgent/a1-nemo_prism_math" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "DCAgent/a1-nemo_prism_math", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/DCAgent/a1-nemo_prism_math
- SGLang
How to use DCAgent/a1-nemo_prism_math 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 "DCAgent/a1-nemo_prism_math" \ --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": "DCAgent/a1-nemo_prism_math", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'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 "DCAgent/a1-nemo_prism_math" \ --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": "DCAgent/a1-nemo_prism_math", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use DCAgent/a1-nemo_prism_math with Docker Model Runner:
docker model run hf.co/DCAgent/a1-nemo_prism_math
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| {"current_steps": 10, "total_steps": 3850, "loss": 0.658, "lr": 9.350649350649352e-07, "epoch": 0.01818181818181818, "percentage": 0.26, "elapsed_time": "0:00:30", "remaining_time": "3:12:35"} | |
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| {"current_steps": 20, "total_steps": 3850, "loss": 0.6331, "lr": 1.9740259740259743e-06, "epoch": 0.03636363636363636, "percentage": 0.52, "elapsed_time": "0:00:54", "remaining_time": "2:52:30"} | |
| {"current_steps": 25, "total_steps": 3850, "loss": 0.5927, "lr": 2.4935064935064936e-06, "epoch": 0.045454545454545456, "percentage": 0.65, "elapsed_time": "0:01:05", "remaining_time": "2:47:15"} | |
| {"current_steps": 30, "total_steps": 3850, "loss": 0.5956, "lr": 3.0129870129870133e-06, "epoch": 0.05454545454545454, "percentage": 0.78, "elapsed_time": "0:01:17", "remaining_time": "2:43:50"} | |
| {"current_steps": 35, "total_steps": 3850, "loss": 0.5349, "lr": 3.532467532467533e-06, "epoch": 0.06363636363636363, "percentage": 0.91, "elapsed_time": "0:01:30", "remaining_time": "2:44:51"} | |
| {"current_steps": 40, "total_steps": 3850, "loss": 0.5456, "lr": 4.051948051948053e-06, "epoch": 0.07272727272727272, "percentage": 1.04, "elapsed_time": "0:01:41", "remaining_time": "2:41:10"} | |
| {"current_steps": 45, "total_steps": 3850, "loss": 0.512, "lr": 4.571428571428572e-06, "epoch": 0.08181818181818182, "percentage": 1.17, "elapsed_time": "0:01:52", "remaining_time": "2:38:47"} | |
| {"current_steps": 50, "total_steps": 3850, "loss": 0.4759, "lr": 5.090909090909091e-06, "epoch": 0.09090909090909091, "percentage": 1.3, "elapsed_time": "0:02:05", "remaining_time": "2:39:02"} | |
| {"current_steps": 55, "total_steps": 3850, "loss": 0.4981, "lr": 5.6103896103896105e-06, "epoch": 0.1, "percentage": 1.43, "elapsed_time": "0:02:15", "remaining_time": "2:35:57"} | |
| {"current_steps": 60, "total_steps": 3850, "loss": 0.466, "lr": 6.129870129870131e-06, "epoch": 0.10909090909090909, "percentage": 1.56, "elapsed_time": "0:02:27", "remaining_time": "2:35:30"} | |
| {"current_steps": 65, "total_steps": 3850, "loss": 0.4836, "lr": 6.64935064935065e-06, "epoch": 0.11818181818181818, "percentage": 1.69, "elapsed_time": "0:02:38", "remaining_time": "2:33:23"} | |
| {"current_steps": 70, "total_steps": 3850, "loss": 0.4367, "lr": 7.16883116883117e-06, "epoch": 0.12727272727272726, "percentage": 1.82, "elapsed_time": "0:02:52", "remaining_time": "2:34:55"} | |
| {"current_steps": 75, "total_steps": 3850, "loss": 0.4871, "lr": 7.68831168831169e-06, "epoch": 0.13636363636363635, "percentage": 1.95, "elapsed_time": "0:03:01", "remaining_time": "2:32:37"} | |
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| {"current_steps": 85, "total_steps": 3850, "loss": 0.4403, "lr": 8.727272727272728e-06, "epoch": 0.15454545454545454, "percentage": 2.21, "elapsed_time": "0:03:22", "remaining_time": "2:29:24"} | |
| {"current_steps": 90, "total_steps": 3850, "loss": 0.47, "lr": 9.246753246753248e-06, "epoch": 0.16363636363636364, "percentage": 2.34, "elapsed_time": "0:03:35", "remaining_time": "2:29:49"} | |
| {"current_steps": 95, "total_steps": 3850, "loss": 0.3948, "lr": 9.766233766233766e-06, "epoch": 0.17272727272727273, "percentage": 2.47, "elapsed_time": "0:03:45", "remaining_time": "2:28:18"} | |
| {"current_steps": 100, "total_steps": 3850, "loss": 0.3798, "lr": 1.0285714285714285e-05, "epoch": 0.18181818181818182, "percentage": 2.6, "elapsed_time": "0:03:55", "remaining_time": "2:26:57"} | |
| {"current_steps": 105, "total_steps": 3850, "loss": 0.3984, "lr": 1.0805194805194805e-05, "epoch": 0.19090909090909092, "percentage": 2.73, "elapsed_time": "0:04:04", "remaining_time": "2:25:24"} | |
| {"current_steps": 110, "total_steps": 3850, "loss": 0.3929, "lr": 1.1324675324675325e-05, "epoch": 0.2, "percentage": 2.86, "elapsed_time": "0:04:21", "remaining_time": "2:28:10"} | |
| {"current_steps": 115, "total_steps": 3850, "loss": 0.392, "lr": 1.1844155844155845e-05, "epoch": 0.20909090909090908, "percentage": 2.99, "elapsed_time": "0:04:31", "remaining_time": "2:27:02"} | |
| {"current_steps": 120, "total_steps": 3850, "loss": 0.4254, "lr": 1.2363636363636364e-05, "epoch": 0.21818181818181817, "percentage": 3.12, "elapsed_time": "0:04:43", "remaining_time": "2:26:42"} | |
| {"current_steps": 125, "total_steps": 3850, "loss": 0.3905, "lr": 1.2883116883116884e-05, "epoch": 0.22727272727272727, "percentage": 3.25, "elapsed_time": "0:04:54", "remaining_time": "2:26:29"} | |
| {"current_steps": 130, "total_steps": 3850, "loss": 0.4166, "lr": 1.3402597402597404e-05, "epoch": 0.23636363636363636, "percentage": 3.38, "elapsed_time": "0:05:05", "remaining_time": "2:25:43"} | |
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| {"current_steps": 145, "total_steps": 3850, "loss": 0.4072, "lr": 1.4961038961038962e-05, "epoch": 0.2636363636363636, "percentage": 3.77, "elapsed_time": "0:05:41", "remaining_time": "2:25:23"} | |
| {"current_steps": 150, "total_steps": 3850, "loss": 0.3951, "lr": 1.548051948051948e-05, "epoch": 0.2727272727272727, "percentage": 3.9, "elapsed_time": "0:05:50", "remaining_time": "2:24:14"} | |
| {"current_steps": 155, "total_steps": 3850, "loss": 0.39, "lr": 1.6000000000000003e-05, "epoch": 0.2818181818181818, "percentage": 4.03, "elapsed_time": "0:06:05", "remaining_time": "2:25:12"} | |
| {"current_steps": 160, "total_steps": 3850, "loss": 0.4335, "lr": 1.651948051948052e-05, "epoch": 0.2909090909090909, "percentage": 4.16, "elapsed_time": "0:06:22", "remaining_time": "2:27:07"} | |
| {"current_steps": 165, "total_steps": 3850, "loss": 0.3676, "lr": 1.703896103896104e-05, "epoch": 0.3, "percentage": 4.29, "elapsed_time": "0:06:35", "remaining_time": "2:27:15"} | |
| {"current_steps": 170, "total_steps": 3850, "loss": 0.349, "lr": 1.7558441558441558e-05, "epoch": 0.3090909090909091, "percentage": 4.42, "elapsed_time": "0:06:45", "remaining_time": "2:26:21"} | |
| {"current_steps": 175, "total_steps": 3850, "loss": 0.3579, "lr": 1.807792207792208e-05, "epoch": 0.3181818181818182, "percentage": 4.55, "elapsed_time": "0:06:55", "remaining_time": "2:25:26"} | |
| {"current_steps": 180, "total_steps": 3850, "loss": 0.3505, "lr": 1.8597402597402598e-05, "epoch": 0.32727272727272727, "percentage": 4.68, "elapsed_time": "0:07:04", "remaining_time": "2:24:19"} | |
| {"current_steps": 185, "total_steps": 3850, "loss": 0.3954, "lr": 1.9116883116883117e-05, "epoch": 0.33636363636363636, "percentage": 4.81, "elapsed_time": "0:07:13", "remaining_time": "2:23:08"} | |
| {"current_steps": 190, "total_steps": 3850, "loss": 0.3696, "lr": 1.963636363636364e-05, "epoch": 0.34545454545454546, "percentage": 4.94, "elapsed_time": "0:07:24", "remaining_time": "2:22:32"} | |
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| {"current_steps": 230, "total_steps": 3850, "loss": 0.3457, "lr": 2.3792207792207793e-05, "epoch": 0.41818181818181815, "percentage": 5.97, "elapsed_time": "0:08:45", "remaining_time": "2:17:56"} | |
| {"current_steps": 235, "total_steps": 3850, "loss": 0.3625, "lr": 2.4311688311688314e-05, "epoch": 0.42727272727272725, "percentage": 6.1, "elapsed_time": "0:08:55", "remaining_time": "2:17:23"} | |
| {"current_steps": 240, "total_steps": 3850, "loss": 0.3745, "lr": 2.4831168831168833e-05, "epoch": 0.43636363636363634, "percentage": 6.23, "elapsed_time": "0:09:06", "remaining_time": "2:17:03"} | |
| {"current_steps": 245, "total_steps": 3850, "loss": 0.337, "lr": 2.535064935064935e-05, "epoch": 0.44545454545454544, "percentage": 6.36, "elapsed_time": "0:09:18", "remaining_time": "2:16:53"} | |
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| {"current_steps": 265, "total_steps": 3850, "loss": 0.3483, "lr": 2.742857142857143e-05, "epoch": 0.4818181818181818, "percentage": 6.88, "elapsed_time": "0:09:57", "remaining_time": "2:14:43"} | |
| {"current_steps": 270, "total_steps": 3850, "loss": 0.3196, "lr": 2.794805194805195e-05, "epoch": 0.4909090909090909, "percentage": 7.01, "elapsed_time": "0:10:05", "remaining_time": "2:13:47"} | |
| {"current_steps": 275, "total_steps": 3850, "loss": 0.3277, "lr": 2.8467532467532472e-05, "epoch": 0.5, "percentage": 7.14, "elapsed_time": "0:10:14", "remaining_time": "2:13:12"} | |
| {"current_steps": 280, "total_steps": 3850, "loss": 0.3708, "lr": 2.898701298701299e-05, "epoch": 0.509090909090909, "percentage": 7.27, "elapsed_time": "0:10:29", "remaining_time": "2:13:40"} | |
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| {"current_steps": 290, "total_steps": 3850, "loss": 0.3537, "lr": 3.002597402597403e-05, "epoch": 0.5272727272727272, "percentage": 7.53, "elapsed_time": "0:10:58", "remaining_time": "2:14:46"} | |
| {"current_steps": 295, "total_steps": 3850, "loss": 0.3769, "lr": 3.054545454545455e-05, "epoch": 0.5363636363636364, "percentage": 7.66, "elapsed_time": "0:11:07", "remaining_time": "2:14:09"} | |
| {"current_steps": 300, "total_steps": 3850, "loss": 0.355, "lr": 3.106493506493507e-05, "epoch": 0.5454545454545454, "percentage": 7.79, "elapsed_time": "0:11:17", "remaining_time": "2:13:40"} | |
| {"current_steps": 305, "total_steps": 3850, "loss": 0.3629, "lr": 3.158441558441559e-05, "epoch": 0.5545454545454546, "percentage": 7.92, "elapsed_time": "0:11:28", "remaining_time": "2:13:24"} | |
| {"current_steps": 310, "total_steps": 3850, "loss": 0.3662, "lr": 3.210389610389611e-05, "epoch": 0.5636363636363636, "percentage": 8.05, "elapsed_time": "0:11:40", "remaining_time": "2:13:23"} | |
| {"current_steps": 315, "total_steps": 3850, "loss": 0.3682, "lr": 3.2623376623376626e-05, "epoch": 0.5727272727272728, "percentage": 8.18, "elapsed_time": "0:11:51", "remaining_time": "2:13:07"} | |
| {"current_steps": 320, "total_steps": 3850, "loss": 0.3326, "lr": 3.314285714285715e-05, "epoch": 0.5818181818181818, "percentage": 8.31, "elapsed_time": "0:12:01", "remaining_time": "2:12:37"} | |
| {"current_steps": 325, "total_steps": 3850, "loss": 0.3039, "lr": 3.366233766233766e-05, "epoch": 0.5909090909090909, "percentage": 8.44, "elapsed_time": "0:12:11", "remaining_time": "2:12:15"} | |
| {"current_steps": 330, "total_steps": 3850, "loss": 0.3384, "lr": 3.4181818181818185e-05, "epoch": 0.6, "percentage": 8.57, "elapsed_time": "0:12:20", "remaining_time": "2:11:42"} | |
| {"current_steps": 335, "total_steps": 3850, "loss": 0.3784, "lr": 3.47012987012987e-05, "epoch": 0.6090909090909091, "percentage": 8.7, "elapsed_time": "0:12:30", "remaining_time": "2:11:10"} | |
| {"current_steps": 340, "total_steps": 3850, "loss": 0.3234, "lr": 3.522077922077922e-05, "epoch": 0.6181818181818182, "percentage": 8.83, "elapsed_time": "0:12:38", "remaining_time": "2:10:30"} | |
| {"current_steps": 345, "total_steps": 3850, "loss": 0.3524, "lr": 3.5740259740259743e-05, "epoch": 0.6272727272727273, "percentage": 8.96, "elapsed_time": "0:12:46", "remaining_time": "2:09:45"} | |
| {"current_steps": 350, "total_steps": 3850, "loss": 0.3517, "lr": 3.625974025974026e-05, "epoch": 0.6363636363636364, "percentage": 9.09, "elapsed_time": "0:12:54", "remaining_time": "2:09:09"} | |
| {"current_steps": 355, "total_steps": 3850, "loss": 0.3378, "lr": 3.677922077922078e-05, "epoch": 0.6454545454545455, "percentage": 9.22, "elapsed_time": "0:13:03", "remaining_time": "2:08:38"} | |
| {"current_steps": 360, "total_steps": 3850, "loss": 0.315, "lr": 3.72987012987013e-05, "epoch": 0.6545454545454545, "percentage": 9.35, "elapsed_time": "0:13:12", "remaining_time": "2:08:04"} | |
| {"current_steps": 365, "total_steps": 3850, "loss": 0.3663, "lr": 3.7818181818181824e-05, "epoch": 0.6636363636363637, "percentage": 9.48, "elapsed_time": "0:13:26", "remaining_time": "2:08:20"} | |
| {"current_steps": 370, "total_steps": 3850, "loss": 0.3417, "lr": 3.833766233766234e-05, "epoch": 0.6727272727272727, "percentage": 9.61, "elapsed_time": "0:13:36", "remaining_time": "2:07:57"} | |
| {"current_steps": 375, "total_steps": 3850, "loss": 0.3501, "lr": 3.885714285714286e-05, "epoch": 0.6818181818181818, "percentage": 9.74, "elapsed_time": "0:13:46", "remaining_time": "2:07:39"} | |
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