MODEL PROFILE

MiMo-V2.6-Flash-RL-cmf

infosave · MiMo-V2.6-Flash-RL-cmf

> **Model release candidate.** All three weight files are uploaded and SHA-256 verified. > Text and greedy MTP checks pass; strict multimodal acceptance is still incomplete. > **Engine: Cortiq 0.7.7** · crates.io. Older published versions do not include this MiMo integration. **These are two complete file sets, not two copies of the 164-GB backbone.** Full includes the same text weights plus a **1.241-GB multimodal companion**. To upgrade from Text-only, download only the `.mm.cmf` file into the same folder. Text-only does not download or load the media towers. MiMo is a mixture-of-experts model with approximately **310 billion total parameters**, not a 15-billion-parameter checkpoint. Only a subset (roughly 15 billion parameters) is active per token, but **all experts must be stored**. Even a hypothetical uniform four-bit representation of 310 billion parameters would occupy about **155 GB**, before scales, metadata and higher-precision tensors. This conversion intentionally retains q8 and float tensors where needed.

Text generationmultimodallicense:mit
Context windowNot disclosed
Input → OutputText → Text
Model weightsNot verified
Profile updated2026/11/2 19:16:13
OVERVIEW

Model overview

> **Model release candidate.** All three weight files are uploaded and SHA-256 verified. > Text and greedy MTP checks pass; strict multimodal acceptance is still incomplete. > **Engine: Cortiq 0.7.7** · crates.io. Older published versions do not include this MiMo integration. **These are two complete file sets, not two copies of the 164-GB backbone.** Full includes the same text weights plus a **1.241-GB multimodal companion**. To upgrade from Text-only, download only the `.mm.cmf` file into the same folder. Text-only does not download or load the media towers. MiMo is a mixture-of-experts model with approximately **310 billion total parameters**, not a 15-billion-parameter checkpoint. Only a subset (roughly 15 billion parameters) is active per token, but **all experts must be stored**. Even a hypothetical uniform four-bit representation of 310 billion parameters would occupy about **155 GB**, before scales, metadata and higher-precision tensors. This conversion intentionally retains q8 and float tensors where needed.

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

Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.

Source / channelInputOutputBilling unitCollected at
No verified prices yet. Check the source channel.

Estimate monthly base token costs

—

Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.

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。

View full indexed rankings →

Frequently asked questions

Do open weights permit free commercial use?

Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.

Are these real-time billing prices?

These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.

Sources & traceability

许可证:mit。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。