unsloth/Kimi-Dev-72B-GGUF

• moonshotai/Kimi-Dev-72B

• code
• unsloth
• swebench
• software
• issue-resolving

Unsloth Dynamic 2.0 achieves superior accuracy & outperforms other leading quants.

Introducing Kimi-Dev:
A Strong and Open-source Coding LLM for Issue Resolution

Kimi-Dev Team

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.

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.frompretrained(modelname)

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.applychattemplate(
    messages,
    tokenize=False,
    addgenerationprompt=True
)
modelinputs = tokenizer([text], returntensors="pt").to(model.device)

generated_ids = model.generate(
    model_inputs,
    maxnewtokens=512
)
generated_ids = [
    outputids[len(inputids):] for inputids, outputids in zip(modelinputs.inputids, generated_ids)
]

response = tokenizer.batchdecode(generatedids, skipspecialtokens=True)[0]

Citation

@misc{kimidev72b_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}}
}