Model overview
DFM Mimir v1.5 is the final epoch-10 **EMA** checkpoint of the XL HRM-Text training lineage, at **2,877,261 optimizer steps**. It continues the Danish and English Mimir model family on subsequent dataset mixtures, ending with DFM11. It is a continuation checkpoint, not a new model trained from scratch for ten identical epochs. It is not an XXL model. The architecture has approximately **0.981B non-embedding/head parameters**, or **1.787B total parameters** including its separate 262,144-token input embedding and output head. The family is historically described as a 1B model. This repository contains BF16 inference weights, not optimizer state or a resumable FSDP training checkpoint. The final-epoch token count is not a claim about every preceding epoch or the total training-token budget. Earlier epochs used different mixtures.
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。