moonshotai / Kimi-Dev-72B

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Model's Last Updated: June 17 2025
text-generation

Introduction of Kimi-Dev-72B

Model Details of Kimi-Dev-72B



We introduce Kimi-Dev-72B, our new open-source coding LLM for software engineering tasks. Kimi-Dev-72B achieves a new state-of-the-art on SWE-bench Verified among open-source models.

  • Kimi-Dev-72B achieves 60.4% performance on SWE-bench Verified. It surpasses the runner-up, setting a new state-of-the-art result among open-source models.

  • Kimi-Dev-72B is optimized via large-scale reinforcement learning. It autonomously patches real repositories in Docker and gains rewards only when the entire test suite passes. This ensures correct and robust solutions, aligning with real-world development standards.

  • Kimi-Dev-72B is available for download and deployment on Hugging Face and GitHub. We welcome developers and researchers to explore its capabilities and contribute to development.

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Performance of Open-source Models on SWE-bench Verified.

Quick Start
from transformers import AutoModelForCausalLM, AutoTokenizer

model_name = "moonshotai/Kimi-Dev-72B"

model = AutoModelForCausalLM.from_pretrained(
    model_name,
    torch_dtype="auto",
    device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained(model_name)

prompt = "Give me a short introduction to large language model."
messages = [
    {"role": "system", "content": "You are a helpful assistant."},
    {"role": "user", "content": prompt}
]
text = tokenizer.apply_chat_template(
    messages,
    tokenize=False,
    add_generation_prompt=True
)
model_inputs = tokenizer([text], return_tensors="pt").to(model.device)

generated_ids = model.generate(
    **model_inputs,
    max_new_tokens=512
)
generated_ids = [
    output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)
]

response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
Citation
@misc{kimi_dev_72b_2025,
  title        = {Introducing Kimi-Dev: A Strong and Open-source Coding LLM for Issue Resolution},
  author       = {{Kimi-Dev Team}},
  year         = {2025},
  month        = {June},
  url          = {\url{https://www.moonshot.cn/Kimi-Dev}}
}

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More Information About Kimi-Dev-72B huggingface.co Model

More Kimi-Dev-72B license Visit here:

https://choosealicense.com/licenses/mit

Kimi-Dev-72B huggingface.co

Kimi-Dev-72B huggingface.co is an AI model on huggingface.co that provides Kimi-Dev-72B's model effect (), which can be used instantly with this moonshotai Kimi-Dev-72B model. huggingface.co supports a free trial of the Kimi-Dev-72B model, and also provides paid use of the Kimi-Dev-72B. Support call Kimi-Dev-72B model through api, including Node.js, Python, http.

moonshotai Kimi-Dev-72B online free

Kimi-Dev-72B huggingface.co is an online trial and call api platform, which integrates Kimi-Dev-72B's modeling effects, including api services, and provides a free online trial of Kimi-Dev-72B, you can try Kimi-Dev-72B online for free by clicking the link below.

moonshotai Kimi-Dev-72B online free url in huggingface.co:

https://huggingface.co/moonshotai/Kimi-Dev-72B

Kimi-Dev-72B install

Kimi-Dev-72B is an open source model from GitHub that offers a free installation service, and any user can find Kimi-Dev-72B on GitHub to install. At the same time, huggingface.co provides the effect of Kimi-Dev-72B install, users can directly use Kimi-Dev-72B installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Kimi-Dev-72B install url in huggingface.co:

https://huggingface.co/moonshotai/Kimi-Dev-72B

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Kimi-Dev-72B huggingface.co Url

Provider of Kimi-Dev-72B huggingface.co

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