LFM2.5 2.6B GGUF
LFM2.5 2.6B GGUF by LiquidAI, a text-generation model. Understand and compare features, benchmarks, and capabilities.
Comparison
| Feature | LFM2.5 2.6B GGUF | Interfaze |
|---|---|---|
| Input Modalities | text | image, text, audio, video, document |
| Native OCR | No | Yes |
| Long Document Processing | No | Yes |
| Language Support | 16 partial | 162+ |
| Native Speech-to-Text | No | Yes |
| Native Object Detection | No | Yes |
| Guardrail Controls | No | Yes |
| Context Input Size | 131.1K | 1M |
| Tool Calling | Yes | Tool calling supported + built in browser, code execution and web search |
Scaling
| Feature | LFM2.5 2.6B GGUF | Interfaze |
|---|---|---|
| Scaling | Self-hosted/Provider-hosted with quantization | Unlimited |
View model card on Hugging Face
LFM2.5 is a new family of hybrid models designed for on-device deployment. It builds on the LFM2 architecture with extended pre-training and reinforcement learning.
Find more details in the original model card: https://huggingface.co/LiquidAI/LFM2.5-2.6B
🏃 How to run LFM2
Example usage with llama.cpp:
llama-cli -hf LiquidAI/LFM2.5-2.6B-GGUF -c 4096 --color -i \
--temp 0.1 --top-k 50 --repeat-penalty 1.1