Dan-Carter / Affine-t3

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Model's Last Updated: September 10 2025
text-generation

Introduction of Affine-t3

Model Details of Affine-t3

k2-think-banner

Try K2-Think · K2 Technical Report


K2-Think is a 32 billion parameter open-weights general reasoning model with strong performance in competitive mathematical problem solving.

Quickstart

Transformers

You can use K2-Think with Transformers. If you use transformers.pipeline , it will apply the chat template automatically. If you use model.generate directly, you need to apply the chat template mannually.

from transformers import pipeline
import torch

model_id =  "LLM360/K2-Think"

pipe = pipeline(
    "text-generation",
    model=model_id,
    torch_dtype="auto",
    device_map="auto",
)

messages = [
    {"role": "user", "content": "what is the next prime number after 2600?"},
]

outputs = pipe(
    messages,
    max_new_tokens=32768,
)
print(outputs[0]["generated_text"][-1])

Evaluation & Performance

Detailed evaluation results are reported in out Tech Report

Benchmarks (pass@1, average over 16 runs)
Domain Benchmark K2-Think
Math AIME 2024 90.83
Math AIME 2025 81.24
Math HMMT 2025 73.75
Math OMNI-Math-HARD 60.73
Code LiveCodeBench v5 63.97
Science GPQA-Diamond 71.08

Inference Speed

We deploy K2-THINK on Cerebras Wafer-Scale Engine (WSE) systems, leveraging the world’s largest processor and speculative decoding to achieve unprecedented inference speeds for our 32B reasoning system.

Platform Throughput (tokens/sec) Example: 32k-token response (time)
Cerebras WSE (our deployment) ~2,000 ~16 s
Typical H100/H200 GPU setup ~200 ~160 s

Safety Evaluation

Aggregated across four safety dimensions ( Safety-4 ):

Aspect Macro-Avg
High-Risk Content Refusal 0.83
Conversational Robustness 0.89
Cybersecurity & Data Protection 0.56
Jailbreak Resistance 0.72
Safety-4 Macro (avg) 0.75

Citation

@techreport{k2think2025,
  title   = {K2-Think: A Parameter-Efficient Reasoning System},
  author  = {Zhoujun Cheng and Richard Fan and Shibo Hao and Taylor W. Killian and Haonan Li and Suqi Sun and Hector Ren and Alexander Moreno and Daqian Zhang and Tianjun Zhong and Yuxin Xiong and Yuanzhe Hu and Yutao Xie and Xudong Han and Yuqi Wang and Varad Pimpalkhute and Yonghao Zhuang and Aaryamonvikram Singh and Xuezhi Liang and Anze Xie and Jianshu She and Desai Fan and Chengqian Gao and Liqun Ma and Mikhail Yurochkin and John Maggs and Xuezhe Ma and Guowei He and Zhiting Hu and Zhengzhong Liu and Eric P. Xing},
  year    = {2025},
  institution = {Institute of Foundation Models, Mohamed bin Zayed University of Artificial Intelligence},
  url     = {https://k2think-about.pages.dev/assets/tech-report/K2-Think_Tech-Report.pdf}
}

Runs of Dan-Carter Affine-t3 on huggingface.co

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More Information About Affine-t3 huggingface.co Model

More Affine-t3 license Visit here:

https://choosealicense.com/licenses/apache-2.0

Affine-t3 huggingface.co

Affine-t3 huggingface.co is an AI model on huggingface.co that provides Affine-t3's model effect (), which can be used instantly with this Dan-Carter Affine-t3 model. huggingface.co supports a free trial of the Affine-t3 model, and also provides paid use of the Affine-t3. Support call Affine-t3 model through api, including Node.js, Python, http.

Dan-Carter Affine-t3 online free

Affine-t3 huggingface.co is an online trial and call api platform, which integrates Affine-t3's modeling effects, including api services, and provides a free online trial of Affine-t3, you can try Affine-t3 online for free by clicking the link below.

Dan-Carter Affine-t3 online free url in huggingface.co:

https://huggingface.co/Dan-Carter/Affine-t3

Affine-t3 install

Affine-t3 is an open source model from GitHub that offers a free installation service, and any user can find Affine-t3 on GitHub to install. At the same time, huggingface.co provides the effect of Affine-t3 install, users can directly use Affine-t3 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Affine-t3 install url in huggingface.co:

https://huggingface.co/Dan-Carter/Affine-t3

Url of Affine-t3

Provider of Affine-t3 huggingface.co

Dan-Carter
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