> ## Documentation Index > Fetch the complete documentation index at: https://docs.liquid.ai/llms.txt > Use this file to discover all available pages before exploring further. # Liquid Foundation Models > Liquid Foundation Models (LFMs) are a new class of multimodal architectures built for fast inference and on-device deployment. Browse all available models and formats here.
All of our models share the following capabilities: * 32k token context length for extended conversations and document processing * Designed for fast inference with [Transformers](/deployment/gpu-inference/transformers), [llama.cpp](/deployment/on-device/llama-cpp), [vLLM](/deployment/gpu-inference/vllm), [MLX](/deployment/on-device/mlx), [Ollama](/deployment/on-device/ollama), and [LEAP](/deployment/on-device/sdk/quick-start) * Trainable via SFT, DPO, and GRPO with [TRL](/lfm/fine-tuning/trl) and [Unsloth](/lfm/fine-tuning/unsloth)
## Model Families Choose a model based on your desired functionalities. Each individual model card has specific details on deployment and customization. Chat, tool calling, structured output, and classification. Image understanding with LFM backbones and custom encoders. Interleaved audio/text models for TTS, ASR, and voice chat. Task-specific models for extraction, summarization, RAG, and translation. ## Model Formats All LFM2 models are available in multiple formats for flexible deployment: * **GGUF** — Best for local CPU/GPU inference on any platform. Use with [llama.cpp](/deployment/on-device/llama-cpp), [LM Studio](/deployment/on-device/lm-studio), or [Ollama](/deployment/on-device/ollama). Append `-GGUF` to any model name. * **MLX** — Best for Mac users with Apple Silicon. Leverages unified memory for fast inference via [MLX](/deployment/on-device/mlx). Browse at [mlx-community](https://huggingface.co/mlx-community/collections?search=LFM). * **ONNX** — Best for production deployments and edge devices. Cross-platform with ONNX Runtime across CPUs, GPUs, and accelerators. Append `-ONNX` to any model name. ### Quantization Quantization reduces model size and speeds up inference with minimal quality loss. Available options by format: * **GGUF** — Supports `Q4_0`, `Q4_K_M`, `Q5_K_M`, `Q6_K`, `Q8_0`, `BF16`, and `F16`. `Q4_K_M` offers the best balance of size and quality. * **MLX** — Available in `3bit`, `4bit`, `5bit`, `6bit`, `8bit`, and `BF16`. `8bit` is recommended. * **ONNX** — Supports `FP32`, `FP16`, `Q4`, and `Q8` (MoE models also support `Q4F16`). `Q4` is recommended for most deployments. ## Model Chart | Model | HF | GGUF | MLX | ONNX | Trainable? | | ---------------------------------------------------------------- | ------------------------------------------------------------- | ------------------------------------------------------------------ | ------------------------------------------------------------------ | -------------------------------------------------------------------- | ------------ | | **Text-to-text Models** | | | | | | | LFM2.5 Models (Latest Release) | | | | | | | [LFM2.5-1.2B-Instruct](/lfm/models/lfm25-1.2b-instruct) | [✓](https://huggingface.co/LiquidAI/LFM2.5-1.2B-Instruct) | [✓](https://huggingface.co/LiquidAI/LFM2.5-1.2B-Instruct-GGUF) | [✓](https://huggingface.co/LiquidAI/LFM2.5-1.2B-Instruct-MLX-8bit) | [✓](https://huggingface.co/LiquidAI/LFM2.5-1.2B-Instruct-ONNX) | Yes (TRL) | | [LFM2.5-1.2B-Thinking](/lfm/models/lfm25-1.2b-thinking) | [✓](https://huggingface.co/LiquidAI/LFM2.5-1.2B-Thinking) | [✓](https://huggingface.co/LiquidAI/LFM2.5-1.2B-Thinking-GGUF) | [✓](https://huggingface.co/LiquidAI/LFM2.5-1.2B-Thinking-MLX-8bit) | [✓](https://huggingface.co/LiquidAI/LFM2.5-1.2B-Thinking-ONNX) | Yes (TRL) | | [LFM2.5-1.2B-Base](/lfm/models/lfm25-1.2b-base) | [✓](https://huggingface.co/LiquidAI/LFM2.5-1.2B-Base) | [✓](https://huggingface.co/LiquidAI/LFM2.5-1.2B-Base-GGUF) | ✗ | [✓](https://huggingface.co/LiquidAI/LFM2.5-1.2B-Base-ONNX) | Yes (TRL) | | [LFM2.5-1.2B-JP](/lfm/models/lfm25-1.2b-jp) | [✓](https://huggingface.co/LiquidAI/LFM2.5-1.2B-JP) | [✓](https://huggingface.co/LiquidAI/LFM2.5-1.2B-JP-GGUF) | [✓](https://huggingface.co/LiquidAI/LFM2.5-1.2B-JP-MLX-8bit) | [✓](https://huggingface.co/LiquidAI/LFM2.5-1.2B-JP-ONNX) | Yes (TRL) | | [LFM2.5-350M](/lfm/models/lfm25-350m) | [✓](https://huggingface.co/LiquidAI/LFM2.5-350M) | [✓](https://huggingface.co/LiquidAI/LFM2.5-350M-GGUF) | [✓](https://huggingface.co/LiquidAI/LFM2.5-350M-MLX-8bit) | [✓](https://huggingface.co/LiquidAI/LFM2.5-350M-ONNX) | Yes (TRL) | | LFM2 Models | | | | | | | [LFM2-8B-A1B](/lfm/models/lfm2-8b-a1b) | [✓](https://huggingface.co/LiquidAI/LFM2-8B-A1B) | [✓](https://huggingface.co/LiquidAI/LFM2-8B-A1B-GGUF) | [✓](https://huggingface.co/mlx-community/LFM2-8B-A1B-8bit) | [✓](https://huggingface.co/onnx-community/LFM2-8B-A1B-ONNX) | Yes (TRL) | | [LFM2-2.6B](/lfm/models/lfm2-2.6b) | [✓](https://huggingface.co/LiquidAI/LFM2-2.6B) | [✓](https://huggingface.co/LiquidAI/LFM2-2.6B-GGUF) | [✓](https://huggingface.co/mlx-community/LFM2-2.6B-8bit) | [✓](https://huggingface.co/onnx-community/LFM2-2.6B-ONNX) | Yes (TRL) | | [LFM2-2.6B-Exp](/lfm/models/lfm2-2.6b-exp) | [✓](https://huggingface.co/LiquidAI/LFM2-2.6B-Exp) | [✓](https://huggingface.co/LiquidAI/LFM2-2.6B-Exp-GGUF) | ✗ | ✗ | Yes (TRL) | | [LFM2-1.2B](/lfm/models/lfm2-1.2b) Deprecated | [✓](https://huggingface.co/LiquidAI/LFM2-1.2B) | [✓](https://huggingface.co/LiquidAI/LFM2-1.2B-GGUF) | [✓](https://huggingface.co/mlx-community/LFM2-1.2B-8bit) | [✓](https://huggingface.co/onnx-community/LFM2-1.2B-ONNX) | Yes (TRL) | | [LFM2-700M](/lfm/models/lfm2-700m) | [✓](https://huggingface.co/LiquidAI/LFM2-700M) | [✓](https://huggingface.co/LiquidAI/LFM2-700M-GGUF) | [✓](https://huggingface.co/mlx-community/LFM2-700M-8bit) | [✓](https://huggingface.co/onnx-community/LFM2-700M-ONNX) | Yes (TRL) | | [LFM2-350M](/lfm/models/lfm2-350m) | [✓](https://huggingface.co/LiquidAI/LFM2-350M) | [✓](https://huggingface.co/LiquidAI/LFM2-350M-GGUF) | [✓](https://huggingface.co/mlx-community/LFM2-350M-8bit) | [✓](https://huggingface.co/onnx-community/LFM2-350M-ONNX) | Yes (TRL) | | **Vision Language Models** | | | | | | | LFM2.5 Models (Latest Release) | | | | | | | [LFM2.5-VL-1.6B](/lfm/models/lfm25-vl-1.6b) | [✓](https://huggingface.co/LiquidAI/LFM2.5-VL-1.6B) | [✓](https://huggingface.co/LiquidAI/LFM2.5-VL-1.6B-GGUF) | [✓](https://huggingface.co/mlx-community/LFM2.5-VL-1.6B-8bit) | [✓](https://huggingface.co/LiquidAI/LFM2.5-VL-1.6B-ONNX) | Yes (TRL) | | [LFM2.5-VL-450M](/lfm/models/lfm25-vl-450m) | [✓](https://huggingface.co/LiquidAI/LFM2.5-VL-450M) | [✓](https://huggingface.co/LiquidAI/LFM2.5-VL-450M-GGUF) | ✗ | [✓](https://huggingface.co/LiquidAI/LFM2.5-VL-450M-ONNX) | Yes (TRL) | | LFM2 Models | | | | | | | [LFM2-VL-3B](/lfm/models/lfm2-vl-3b) | [✓](https://huggingface.co/LiquidAI/LFM2-VL-3B) | [✓](https://huggingface.co/LiquidAI/LFM2-VL-3B-GGUF) | [✓](https://huggingface.co/mlx-community/LFM2-VL-3B-8bit) | [✓](https://huggingface.co/onnx-community/LFM2-VL-3B-ONNX) | Yes (TRL) | | [LFM2-VL-1.6B](/lfm/models/lfm2-vl-1.6b) | [✓](https://huggingface.co/LiquidAI/LFM2-VL-1.6B) | [✓](https://huggingface.co/LiquidAI/LFM2-VL-1.6B-GGUF) | [✓](https://huggingface.co/mlx-community/LFM2-VL-1.6B-8bit) | [✓](https://huggingface.co/onnx-community/LFM2-VL-1.6B-ONNX) | Yes (TRL) | | [LFM2-VL-450M](/lfm/models/lfm2-vl-450m) | [✓](https://huggingface.co/LiquidAI/LFM2-VL-450M) | [✓](https://huggingface.co/LiquidAI/LFM2-VL-450M-GGUF) | [✓](https://huggingface.co/mlx-community/LFM2-VL-450M-8bit) | [✓](https://huggingface.co/onnx-community/LFM2-VL-450M-ONNX) | Yes (TRL) | | **Audio Models** | | | | | | | LFM2.5 Models (Latest Release) | | | | | | | [LFM2.5-Audio-1.5B](/lfm/models/lfm25-audio-1.5b) | [✓](https://huggingface.co/LiquidAI/LFM2.5-Audio-1.5B) | [✓](https://huggingface.co/LiquidAI/LFM2.5-Audio-1.5B-GGUF) | ✗ | [✓](https://huggingface.co/LiquidAI/LFM2.5-Audio-1.5B-ONNX) | Yes (TRL) | | LFM2 Models | | | | | | | [LFM2-Audio-1.5B](/lfm/models/lfm2-audio-1.5b) | [✓](https://huggingface.co/LiquidAI/LFM2-Audio-1.5B) | [✓](https://huggingface.co/LiquidAI/LFM2-Audio-1.5B-GGUF) | ✗ | ✗ | No | | **Liquid Nanos** | | | | | | | [LFM2-1.2B-Extract](/lfm/models/lfm2-1.2b-extract) | [✓](https://huggingface.co/LiquidAI/LFM2-1.2B-Extract) | [✓](https://huggingface.co/LiquidAI/LFM2-1.2B-Extract-GGUF) | ✗ | [✓](https://huggingface.co/onnx-community/LFM2-1.2B-Extract-ONNX) | Yes (TRL) | | [LFM2-350M-Extract](/lfm/models/lfm2-350m-extract) | [✓](https://huggingface.co/LiquidAI/LFM2-350M-Extract) | [✓](https://huggingface.co/LiquidAI/LFM2-350M-Extract-GGUF) | ✗ | [✓](https://huggingface.co/onnx-community/LFM2-350M-Extract-ONNX) | Yes (TRL) | | [LFM2-350M-ENJP-MT](/lfm/models/lfm2-350m-enjp-mt) | [✓](https://huggingface.co/LiquidAI/LFM2-350M-ENJP-MT) | [✓](https://huggingface.co/LiquidAI/LFM2-350M-ENJP-MT-GGUF) | [✓](https://huggingface.co/mlx-community/LFM2-350M-ENJP-MT-8bit) | [✓](https://huggingface.co/onnx-community/LFM2-350M-ENJP-MT-ONNX) | Yes (TRL) | | [LFM2-1.2B-RAG](/lfm/models/lfm2-1.2b-rag) | [✓](https://huggingface.co/LiquidAI/LFM2-1.2B-RAG) | [✓](https://huggingface.co/LiquidAI/LFM2-1.2B-RAG-GGUF) | ✗ | [✓](https://huggingface.co/onnx-community/LFM2-1.2B-RAG-ONNX) | Yes (TRL) | | [LFM2-1.2B-Tool](/lfm/models/lfm2-1.2b-tool) Deprecated | [✓](https://huggingface.co/LiquidAI/LFM2-1.2B-Tool) | [✓](https://huggingface.co/LiquidAI/LFM2-1.2B-Tool-GGUF) | ✗ | [✓](https://huggingface.co/onnx-community/LFM2-1.2B-Tool-ONNX) | Yes (TRL) | | [LFM2-350M-Math](/lfm/models/lfm2-350m-math) | [✓](https://huggingface.co/LiquidAI/LFM2-350M-Math) | [✓](https://huggingface.co/LiquidAI/LFM2-350M-Math-GGUF) | ✗ | [✓](https://huggingface.co/onnx-community/LFM2-350M-Math-ONNX) | Yes (TRL) | | [LFM2-350M-PII-Extract-JP](/lfm/models/lfm2-350m-pii-extract-jp) | [✓](https://huggingface.co/LiquidAI/LFM2-350M-PII-Extract-JP) | [✓](https://huggingface.co/LiquidAI/LFM2-350M-PII-Extract-JP-GGUF) | ✗ | ✗ | Yes (TRL) | | [LFM2-ColBERT-350M](/lfm/models/lfm2-colbert-350m) | [✓](https://huggingface.co/LiquidAI/LFM2-ColBERT-350M) | ✗ | ✗ | ✗ | Yes (PyLate) | | [LFM2-2.6B-Transcript](/lfm/models/lfm2-2.6b-transcript) | [✓](https://huggingface.co/LiquidAI/LFM2-2.6B-Transcript) | [✓](https://huggingface.co/LiquidAI/LFM2-2.6B-Transcript-GGUF) | ✗ | [✓](https://huggingface.co/onnx-community/LFM2-2.6B-Transcript-ONNX) | Yes (TRL) |