LFM3-1.7B: novidades, hardware necessário, como rodar grátis
LFM3-1.7B offers a 256K token window in a 1 GB footprint, ideal for local agents and fast fine-tuning. See how its benchmarks compare to larger models and…
O que o vídeo diz
LFM3-1.7B packs a 256K token window into about 1 GB of RAM. It’s built for local agents and can run on a phone or laptop.
LFM3-1.7B is a text-only language model from LiquidAI. The architecture mixes gated short convolutions, sliding-window attention and global attention across 24 layers. The model is released under the LFM Open License v1.0.
According to LiquidAI, the model is post-trained for agentic use cases like Hermes Agent, Pi and OpenClaw, and it comes with a 256 K token context window. At 4-bit precision it needs only about 1 GB of memory, so it fits on any phone or laptop. The design encourages quick domain-specific fine-tuning on a single GPU, making it easy to adapt to new formats or tools.
The model card lists several benchmark results. In the LiveClaw agent test LFM3-1.7B scores 45.60, beating larger models like Qwen3.5-9B. For tool-use tasks it reaches 71.39 on BFCL V4. In coding, LiveCodeBench v6 shows a 73.46 score, and on instruction following IFEval it hits 96.66. These numbers indicate strong performance for a 1.7 B parameter model.
LFM3-1.7B shines in agentic applications, tool calling and structured output tasks, and it runs faster than comparable models on edge devices. However, the model card warns that it is not recommended for agentic coding or complex multi-step reasoning because of its small size.
If you run AI at home, need a model that fits on a phone or laptop, or want to fine-tune quickly for a specific domain, LFM3-1.7B is a good fit. It works on modest GPUs like an RTX 4060 and can be run locally with GGUF files in llama.cpp, Ollama or LM Studio.
O que você precisa para rodá-lo em casa? Com 4 bits, ele ocupa cerca de 4 gigabytes de memória. A menor máquina doméstica que o comporta por inteiro é RTX 4060. Em RTX 3060 12 GB com 32 gigabytes de RAM, ele escreve cerca de 199 tokens por segundo. Em RTX 4090 com 64 gigabytes de RAM, ele escreve cerca de 410 tokens por segundo.
There is no free API for it yet. The weights are open: you can download them from Hugging Face, under the license written in its model card. Arena has not ranked it yet: we add the score as soon as the votes arrive.
Compare LFM3 1.7B with every free model, and check what your own GPU can run, on FreeLLMArena.
Os dados
- Tamanho: 1.7B de parâmetros · contexto de 256K · memória com 4 bits: cerca de 4 GB.
- RTX 3060 12 GB + 32 GB de RAM: cerca de 199 tokens/s
- RTX 4090 + 64 GB de RAM: cerca de 410 tokens/s
- RTX 5090 + 64 GB de RAM: cerca de 552 tokens/s
- Mac M4 Max 128 GB: cerca de 162 tokens/s
- NVIDIA DGX Spark 128 GB: cerca de 158 tokens/s
- Ryzen AI Max+ 395 128 GB: cerca de 150 tokens/s
- Mac Studio M3 Ultra 512 GB: cerca de 190 tokens/s
- Ficha do modelo: https://huggingface.co/LiquidAI/LFM3-1.7B
- Todos os modelos grátis, comparados: https://freellmarena.com
Hardware
Memória com 4 bits e contexto de 8K, segundo o nosso simulador. Para conferir a sua própria configuração, use o simulador Rode em casa.
- LFM3-1.7B: cerca de 4 GB com 4 bits · menor máquina doméstica que o comporta: RTX 4060 (8 GB) · Amazon ↗
- RTX 3060 12 GB + 32 GB de RAM: LFM3-1.7B, cerca de 199 tokens/s (totalmente na GPU) · Amazon ↗
- RTX 4090 (24 GB) + 64 GB de RAM: LFM3-1.7B, cerca de 410 tokens/s (totalmente na GPU) · Amazon ↗
- RTX 5090 (32 GB) + 64 GB de RAM: LFM3-1.7B, cerca de 552 tokens/s (totalmente na GPU) · Amazon ↗
- Mac M4 Max 128 GB: LFM3-1.7B, cerca de 162 tokens/s (totalmente na GPU) · Amazon ↗
- NVIDIA DGX Spark 128 GB: LFM3-1.7B, cerca de 158 tokens/s (totalmente na GPU) · Amazon ↗
- Ryzen AI Max+ 395 128 GB: LFM3-1.7B, cerca de 150 tokens/s (totalmente na GPU) · Amazon ↗
- Mac Studio M3 Ultra 512 GB: LFM3-1.7B, cerca de 190 tokens/s (totalmente na GPU) · Amazon ↗
Como Associada da Amazon, o FreeLLMArena ganha com compras qualificadas; os links não alteram os números.
Todos os números deste post vêm dos dados do FreeLLMArena de 28 out. 2026: votos da Arena, tamanhos do Hugging Face e o nosso simulador de velocidade. Baixe o vídeo e as legendas.
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