MODEL PROFILE

Kimi-K2.6-GGUF

unsloth · Kimi-K2.6-GGUF

To run Kimi K2.6 in full precision lossless, run Q8 (UD-Q8_K_XL), which is 595GB and only 10GB bigger than Q4 (UD-Q4_K_XL). See our Kimi K2.6 guide for quantization analysis and instructions. Kimi K2.6 is an open-source, native multimodal agentic model that advances practical capabilities in long-horizon coding, coding-driven design, proactive autonomous execution, and swarm-based task orchestration. Benchmark Kimi K2.6 GPT-5.4 (xhigh) Claude Opus 4.6 (max effort) Gemini 3.1 Pro (thinking high) Kimi K2.5

Visual QAlicense:other
Context windowNot disclosed
Input → OutputText、Image → Text
Model weightsNot verified
Profile updated2026/11/2 19:15:50
OVERVIEW

Model overview

To run Kimi K2.6 in full precision lossless, run Q8 (UD-Q8_K_XL), which is 595GB and only 10GB bigger than Q4 (UD-Q4_K_XL). See our Kimi K2.6 guide for quantization analysis and instructions. Kimi K2.6 is an open-source, native multimodal agentic model that advances practical capabilities in long-horizon coding, coding-driven design, proactive autonomous execution, and swarm-based task orchestration. Benchmark Kimi K2.6 GPT-5.4 (xhigh) Claude Opus 4.6 (max effort) Gemini 3.1 Pro (thinking high) Kimi K2.5

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

Source prices & cost analysis

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

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Frequently asked questions

Do open weights permit free commercial use?

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Sources & traceability

许可证:other。模型介绍与第三方评测均以原来源的具体版本和方法为准。