---
license: apache-2.0
base_model:
- LiquidAI/LFM2.5-1.2B-Thinking
pipeline_tag: image-text-to-text
---
## 1. Introduction
We're introducing **GRM-3.2-Turf**, our lightweight model built for **difficult reasoning problems** and **general conversation** in local environments. GRM-3.2-Turf marks a substantial leap over its predecessor, **GRM-2.6-Air-Opus**, and is designed to serve as a dependable engine for low-resource devices with low processing power.
The model is purpose-built to deliver efficient execution without sacrificing structured reasoning capability, making it ideal for mobile devices, embedded systems, and local deployments where memory and compute constraints are critical.
## 2. Key Capabilities
- **On-Device Efficiency:** Engineered to run smoothly on low-resource hardware with minimal memory footprint and fast inference latency.
- **Enhanced Local Reasoning:** Substantial leap over GRM-2.6-Air-Opus in structured reasoning, problem-solving, and general conversation tasks.
- **High-Fidelity Instruction Following:** Exceptional capability in handling constrained prompts, complex system instructions, and precise response formatting.
- **Robust Tool Use:** Strong performance in tool calling and function execution, enabling agentic workflows in lightweight environments.
## 3. Performance
GRM-3.2-Turf is designed as our premier lightweight model for local execution. It builds directly on the strengths of GRM-2.6-Air-Opus while setting new benchmarks for sub-2B reasoning and instruction-following capability on edge hardware.
### Detailed Benchmarks
| |
GRM-3.2-Turf |
LFM2.5-1.2B-Thinking |
| Knowledge & STEM |
| MMLU-Pro |
56.2 |
49.65 |
| GPQA Diamond |
42.4 |
37.86 |
| Instruction Following & Function Calling |
| IFEval |
91.2 |
88.42 |
| IFBench |
46.8 |
44.85 |
| BFCL v3 |
59.3 |
56.97 |
*Scores are taken from each provider's own published model card, blog post, or evaluation benchmark suite.*
## 4. Family
The GRM-3.2 family is available in various sizes to suit every use case.
| Model |
Size |
Domain |
| GRM-3.2-Sky |
35B-A3B |
Flagship model for long-horizon tasks |
| GRM-3.2-Cliff |
9B |
Capable model for low GPU environments |
| GRM-3.2-Turf |
1.2B |
Lightweight model for low-resource devices |
## 5. Architecture
GRM-3.2-Turf is built on the **LiquidAI/LFM2.5-1.2B-Thinking** base architecture, a 1.2B-parameter model optimized for reasoning, general conversation, and tool use, specifically tailored for efficient deployment on resource-constrained hardware.
---
**GRM-3.2-Turf** is developed by **[OrionLLM](https://huggingface.co/OrionLLM)** and released under the Apache 2.0 License.
