| --- |
| license: apache-2.0 |
| base_model: |
| - LiquidAI/LFM2.5-1.2B-Thinking |
| pipeline_tag: image-text-to-text |
| --- |
| |
| <p align="center"> |
| <img src="https://cdn-uploads.huggingface.co/production/uploads/685ea8ff7b4139b6845ce395/fLHvGnK-flK4wfEDQkgir.png" alt="logo" width="500"> |
| </p> |
| <div align="center"> |
| <a href="https://huggingface.co/OrionLLM/GRM-3.2-Turf/" style="text-decoration: none;"> |
| <img src="https://img.shields.io/badge/🤗-HuggingFace-FC926C?style=for-the-badge" alt="HuggingFace"> |
| </a> |
| <a href="https://huggingface.co/collections/OrionLLM/grm-32" style="text-decoration: none;"> |
| <img src="https://img.shields.io/badge/📚-Collection-3B82F6?style=for-the-badge" alt="Collection"> |
| </a> |
| <a href="https://grape.skinnertopia.com/chat" style="text-decoration: none;"> |
| <img src="https://img.shields.io/badge/💬-Chat-22C55E?style=for-the-badge" alt="Chat"> |
| </a> |
| <a href="https://www.apache.org/licenses/LICENSE-2.0" style="text-decoration: none;"> |
| <img src="https://img.shields.io/badge/📜-License-E343BD?style=for-the-badge" alt="License"> |
| </a> |
| </div> |
| |
| ## 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. |
|
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| 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 |
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| 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. |
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|  |
|
|
| ### Detailed Benchmarks |
|
|
| <table> |
| <tr> |
| <th style="background: rgba(128,128,128,0.1); text-align: center;"> </th> |
| <th style="background: rgba(128,128,128,0.1); text-align: center;">GRM-3.2-Turf</th> |
| <th style="background: rgba(128,128,128,0.1); text-align: center;">LFM2.5-1.2B-Thinking</th> |
| </tr> |
| <tr> |
| <td align="center" colspan="3" style="background: linear-gradient(90deg, rgba(124,58,237,0.45) 0%, rgba(99,102,241,0.42) 50%, rgba(59,130,246,0.45) 100%); font-weight: bold; height:32px; padding-top:2px; padding-bottom:2px;"><i>Knowledge & STEM</i></td> |
| </tr> |
| <tr> |
| <td align="center">MMLU-Pro</td> |
| <td align="center"><b>56.2</b></td> |
| <td align="center">49.65</td> |
| </tr> |
| <tr> |
| <td align="center">GPQA Diamond</td> |
| <td align="center"><b>42.4</b></td> |
| <td align="center">37.86</td> |
| </tr> |
| <tr> |
| <td align="center" colspan="3" style="background: linear-gradient(90deg, rgba(124,58,237,0.45) 0%, rgba(99,102,241,0.42) 50%, rgba(59,130,246,0.45) 100%); font-weight: bold; height:32px; padding-top:2px; padding-bottom:2px;"><i>Instruction Following & Function Calling</i></td> |
| </tr> |
| <tr> |
| <td align="center">IFEval</td> |
| <td align="center"><b>91.2</b></td> |
| <td align="center">88.42</td> |
| </tr> |
| <tr> |
| <td align="center">IFBench</td> |
| <td align="center"><b>46.8</b></td> |
| <td align="center">44.85</td> |
| </tr> |
| <tr> |
| <td align="center">BFCL v3</td> |
| <td align="center"><b>59.3</b></td> |
| <td align="center">56.97</td> |
| </tr> |
| </table> |
| |
| *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. |
|
|
| <table> |
| <tr> |
| <th style="background: rgba(128,128,128,0.1); text-align: center;">Model</th> |
| <th style="background: rgba(128,128,128,0.1); text-align: center;">Size</th> |
| <th style="background: rgba(128,128,128,0.1); text-align: center;">Domain</th> |
| </tr> |
| <tr> |
| <td align="center">GRM-3.2-Sky</td> |
| <td align="center">35B-A3B</td> |
| <td align="center">Flagship model for long-horizon tasks</td> |
| </tr> |
| <tr> |
| <td align="center">GRM-3.2-Cliff</td> |
| <td align="center">9B</td> |
| <td align="center">Capable model for low GPU environments</td> |
| </tr> |
| <tr> |
| <td align="center"><b>GRM-3.2-Turf</b></td> |
| <td align="center"><b>1.2B</b></td> |
| <td align="center"><b>Lightweight model for low-resource devices</b></td> |
| </tr> |
| </table> |
| |
| ## 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. |
|
|
| --- |
|
|
| <div align="center"> |
|
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| **GRM-3.2-Turf** is developed by **[OrionLLM](https://huggingface.co/OrionLLM)** and released under the Apache 2.0 License. |
|
|
| </div> |
