Falcon H1R 7B
Falcon H1R 7B is a reasoning-focused adaptation of Falcon-H1-7B-Base. TII used supervised training on long reasoning examples, followed by GRPO reinforcement learning. The downloadable model supports mathematics, programming and logic tasks.
The serving settings affect memory
The card's serving example defaults to a model length of 262,144 tokens and permits a smaller setting to preserve memory. It suggests generation budgets up to 65,536 tokens and documents a reasoning parser. These are configuration details, not guarantees of useful reasoning at every length.Falcon H1R 7B model card
Measure the full answer budget
Practical guidance. Compare accuracy at a fixed token budget and include unfinished answers in the result. Long reasoning can consume most of a request before the final answer appears. Separate the reasoning field from the answer that the application displays.
Specifications & access
| Detail | Value and conditions |
|---|---|
| Access | Downloadable |
| Model identifiers | tiiuae/Falcon-H1R-7B |
| Architecture | Hybrid transformer and Mamba2Falcon H1R 7B model card |
| License | Falcon-LLM LicenseFalcon H1R 7B model card |
| Output structure | Reasoning in a think block, followed by the final answerFalcon H1R 7B model card |
Related models
- Falcon H1 Tiny R 0.6B
Technology Innovation Institute (TII) ยท Falcon H1 Tiny
Falcon H1 Tiny R 0.6B is a downloadable reasoning model with a hybrid transformer and Mamba architecture.
Launch date not confirmedDownloadable