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2025/07/24: Published a blog post about Kanana-1.5-15.7B-A3B models and released 🤗HF model weights.2025/05/23: Published a blog post about Kanana 1.5 models and released 🤗HF model weights.2025/02/27: Released Technical Report and 🤗HF model weights.2025/01/10: Published a blog post about the development of Kanana Nano model.2024/11/14: Published blog posts (pre-training, post-training) about the development of Kanana models.2024/11/06: Published a presentation video about the development of the Kanana models.Kanana-1.5-15.7B-A3B, the first Mixture-of-Experts (MoE) model in our Kanana family, engineered for exceptional efficiency and powerful performance. Kanana-1.5-15.7B-A3B, which has sparse architecture, delivers capabilities comparable to the Kanana-1.5-8B dense model while utilizing only 37% of the FLOPS per token, making it a highly inference-efficient and cost-effective solution for real-world applications. Furthermore, Kanana-1.5-15.7B-A3B is powered by our newly enhanced post-training strategy, which includes on-policy distillation followed by reinforcement learning.[!Note] Neither the pre-training nor the post-training data includes Kakao user data.
| Models | MMLU | KMMLU | HAERAE | HumanEval | MBPP | GSM8K |
|---|---|---|---|---|---|---|
| Kanana-1.5-15.7B-A3B | 64.79 | 51.77 | 83.23 | 59.76 | 60.10 | 61.18 |
| Kanana-1.5-8B | 64.24 | 48.94 | 82.77 | 61.59 | 57.80 | 63.53 |
| Kanana-1.5-3B* | 59.23 | 47.30 | 78.00 | 46.34 | 46.80 | 61.79 |
| Models | MT-Bench | KoMT-Bench | IFEval | HumanEval+ | MBPP+ | GSM8K (0-shot) | MATH | MMLU (0-shot, CoT) | KMMLU (0-shot, CoT) |
|---|---|---|---|---|---|---|---|---|---|
| Kanana-1.5-15.7B-A3B | 7.67 | 7.24 | 73.35 | 79.27 | 70.37 | 83.02 | 66.42 | 68.55 | 48.92 |
| Kanana-1.5-8B | 7.76 | 7.63 | 80.11 | 76.83 | 67.99 | 87.64 | 67.54 | 68.82 | 48.28 |
| Kanana-1.5-3B* | 7.01 | 6.52 | 70.08 | 70.73 | 64.29 | 80.36 | 56.70 | 59.69 | 37.60 |
[!Note] * This model is not an open-sourced, just for comparison with Kanana-1.5-15.7B-A3B
vllm>=0.8.5 or the latest version is required to run Kanana model.Kanana-1.5-15.7B-A3B-Instruct1vllm serve $path_to_model \
2 --served_model_name kanana-1.5-15.7b-a3b-instruct \
3 --max-model-len 32768 \
4 --gpu-memory-utilization 0.9 \
5 --port 8000 \
6 --dtype auto \
7 --disable_cascade_attn \
8 --tool-parser-plugin kanana_tool_calls/functionary_kanana_tool_parser.py \
9 --tool-call-parser functionary_v3_llama_31 \
10 --enable-auto-tool-choice \
11 --chat-template kanana_tool_calls/lmalign_v1.jinja
12
13curl http://localhost:8000/v1/chat/completions -H "Content-Type: application/json" -d '{
14 "model": "kanana-1.5-15.7b-a3b-instruct",
15 "messages": [
16 {"role": "system", "content": "You are a helpful AI assistant developed by Kakao."},
17 {"role": "user", "content": "Explain LLM to a 5-year-old child in two simple sentences."}
18 ],
19 "top_k": 1,
20 "max_tokens": 72
21}'
22
23# Output:
24'''
25...
26"choices":[{"index":0,"message":{"role":"assistant","content":"Sure! Imagine you have a super smart friend who can read and understand lots of books, talk to you in many different languages, and even help you with your homework. That is kind of like a Large Language Model (LLM) - it is a special computer friend that can do many cool things with words!" ...
27...
28'''@misc{kananallmteam2025kananacomputeefficientbilinguallanguage,
title={Kanana: Compute-efficient Bilingual Language Models},
author={Kanana LLM Team and Yunju Bak and Hojin Lee and Minho Ryu and Jiyeon Ham and Seungjae Jung and Daniel Wontae Nam and Taegyeong Eo and Donghun Lee and Doohae Jung and Boseop Kim and Nayeon Kim and Jaesun Park and Hyunho Kim and Hyunwoong Ko and Changmin Lee and Kyoung-Woon On and Seulye Baeg and Junrae Cho and Sunghee Jung and Jieun Kang and EungGyun Kim and Eunhwa Kim and Byeongil Ko and Daniel Lee and Minchul Lee and Miok Lee and Shinbok Lee and Gaeun Seo},
year={2025},
eprint={2502.18934},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2502.18934},
}