---

language:

- en

- ko

- zh

license: other

license_name: modified-mit

license_link: https://huggingface.co/moonshotai/Kimi-K2.7-Code/blob/main/LICENSE

tags:

- gguf

- kimi

- moonshot

- quantized

- batiai

- mixture-of-experts

- coding

- agentic

- frontier

base_model: moonshotai/Kimi-K2.7-Code

pipeline_tag: text-generation

library_name: llama.cpp

---

Kimi-K2.7-Code GGUF — Quantized by BatiAI

<p align="center">

<a href="https://flow.bati.ai"><img src="https://img.shields.io/badge/BatiFlow-on--device%20AI-blue?style=for-the-badge&logo=apple" alt="BatiFlow"></a>

<a href="https://huggingface.co/moonshotai/Kimi-K2.7-Code"><img src="https://img.shields.io/badge/source-Moonshot%20official-orange?style=for-the-badge" alt="moonshot"></a>

<a href="#"><img src="https://img.shields.io/badge/1T--A32B-MoE-purple?style=for-the-badge" alt="MoE"></a>

</p>

> The coding upgrade to Kimi K2.6 — +21.8% on Kimi Code Bench v2, running on a 512GB Mac Studio.

> IQ3_XXS / IQ4_XS GGUF of moonshotai/Kimi-K2.7-Code (1T total / 32.6B active MoE, DeepSeek-V3-family architecture).

> Quantized directly from official Moonshot weights — code+multilingual imatrix, BatiAI-signed.

📦 Quantizations

| Quant | Size | Shards | Target |

|-------|------|--------|--------|

| IQ3_XXS | 394 GB (GiB: 367) | 10 | M3 Ultra 512GB Mac Studio |

| IQ4_XS | 546 GB (GiB: 509) | 13 | 512GB+ / multi-node / server |

Both built from official weights via a Q8_0 intermediate, quantized with a code + EN + KO + ZH imatrix (included: Kimi-K2.7-Code-imatrix.dat). Text-only (the vision tower of the K2.5-family checkpoint is not included; same as other K2 GGUFs).

✅ Verified (this build, IQ3_XXS) — captured greedy runs:

• Math: 127+58 → 185 (clean reasoning trace)
• Korean: 서울 소개 + 김치·비빔밥·불고기 각 한 문장 — fluent, zero token-mixing or loops
• Tool-call: {"tool":"get_weather","args":{"city":"부산"}} — exact JSON

🚀 Usage (llama.cpp — mainline, no fork needed)

hf download batiai/Kimi-K2.7-Code-GGUF "Kimi-K2.7-Code-IQ3_XXS-*.gguf" --local-dir ./k27

# llama.cpp auto-loads all shards from the first one
./llama-cli -m ./k27/Kimi-K2.7-Code-IQ3_XXS-00001-of-00010.gguf -ngl 99 -c 16384 \
  -p "Refactor this function and add tests."

Recommended sampling (Moonshot): --temp 1.0 --top-p 0.95 (thinking mode). Architecture is deepseek2 — supported by mainline llama.cpp out of the box. Ollama tags (batiai/kimi-k2.7-code) follow shortly.

📜 License

Modified MIT (Moonshot) — commercial use permitted; products exceeding 100M MAU / $20M monthly revenue must display "Kimi K2.7" attribution. Full text at the base model repo. Quantized weights redistributed under the same terms.

✨ What BatiAI did

• Direct from official Moonshot weights (never a re-quant of third-party GGUFs)
• Q8_0 intermediate + diverse imatrix (code/EN/KO/ZH) for balanced fidelity
• Verified: load ✅ · math ✅ · Korean ✅ · tool-call JSON ✅ — BatiAI metadata-signed

— BatiAI · on-device frontier AI · https://flow.bati.ai