Model overview
FlexOlmo is a new kind of LM that unlocks a new paradigm of data collaboration. With FlexOlmo, data owners can contribute to the development of open language models without giving up control of their data. There is no need to share raw data directly, and data contributors can decide when their data is active in the model, deactivate it at any time, and receive attributions whenever it's used for inference. > FlexOlmo-7x7B-1T (without router training) is a Mixture-of-Experts with 33B total parameters, combining independently trained experts on public-mix, news, math, code, academic texts, creative writing, and Reddit data. The public-mix expert is trained on 1T tokens of public data while the other experts are branched from the public-mix expert and trained on 50B tokens of their respective data. This information and more can also be found: - **Paper**: https://allenai.org/papers/flexolmo - **Code**: https://github.com/allenai/FlexOlmo - **Blog**: https://allenai.org/blog/flexolmo - **Data and corresponding models**: | Corpus | Public | Math | News | Academic | Code | Creative Writing | Reddit | |------------------|----------------|----------------|----------------|----------------|----------------|------------------|----------------| | Model | Flex-public-7B-1T | Flex-math-2x7B-1T | Flex-news-2x7B-1T | Flex-pes2o-2x7B-1T | Flex-code-2x7B-1T | Flex-creative-2x7B-1T | Flex-reddit-2x7B-1T |
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.
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 / channel | Input | Output | Billing unit | Collected 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.
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：apache-2.0。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。