Build custom multimodal models with LFM3
10/28/2026 — 10/28, 02:17·2 sources (all)·2 reports (all)·In the 2026-10-28 briefing
Key takeaways
- LiquidAI's LFM3-1.7B text model supports 256K token context and runs locally on phones and laptops with roughly 1GB of memory under 4-bit qu…
Background & analysis
On October 28, 2026, a post appeared on the Reddit LocalLLaMA community announcing that LiquidAI has released LFM3-1.7B, a text model hosted at https://huggingface.co/LiquidAI/LFM3-1.7B-GGUF . According to the model card on that page, LFM3-1.7B is a text model built for local agents and specialized applications, running on LiquidAI's new tri-hybrid architecture. The model supports a 256K-token context window, which the developers frame as suitable for long agentic sessions that involve tool calling and multi-step workflows. The release also emphasizes deployment on edge devices: at 4-bit precision, the model needs only about 1 GB of memory, so it can fit on a phone or a laptop without specialized hardware. In addition to its general capabilities, the page states that the model was post-trained for agentic harnesses, including Hermes Agent, Pi, and OpenClaw, and that it is designed to be specialized, meaning developers can adapt it to their own domains, formats, and tools through quick fine-tuning. The public record currently stops at this release announcement, and no independent benchmark results, licensing details, or follow-up version updates have been reported yet.
AI-generated from 1 reports · updated 3 hours ago
Latest turnA Hugging Face blog post walks through building specialized multimodal models with LFM3. The available excerpt gives no further detail on the method, model specs or supported use cases.
- Heat index
- 181
- All sources
- 2
- All reports
- 2
- First seen
- 4 hours ago
Reports on this story headlines open the original
A Hugging Face blog post walks through building specialized multimodal models with LFM3. The available excerpt gives no further detail on the method, model specs or supported use cases.
Hugging Face BlogFirst-partyAI score 44LiquidAI has released LFM3-1.7B, a text model for local agents and specialized applications built on a new tri-hybrid architecture. It features a 256K-token context window and runs efficiently on edge devices, requiring only about 1GB of memory at 4-bit precision.
Reddit · LocalLLaMAAI score 68
Other stories people are talking about
- Heat index 94NewOllama adds Liquid AI LFM3 models for local use1 sources
- Heat index 1779RisingAnthropic files IPO papers, discloses financials and survival-risk warnings23 sources
- Heat index 1624Anthropic files S-1 for Nasdaq listing as Broadcom arranges $63B chip financing35 sources
- Heat index 1255OpenAI launches GPT-6.1 Terra with halved API pricing for computer use21 sources
- Heat index 1092Meta's $25B stock offering draws about 5x demand as it raises funds for AI infrastructure17 sources
How is heat calculated?About the methodHide
Heat counts how many independent sources covered a story in the last 48 hours: one source counts once no matter how many posts it published, decaying with a 24-hour half-life. What ranks first is what many people are talking about.
This page aggregates public feeds. Headlines and summaries are machine-organized and remain the property of the original authors; verify important facts at the source. If you believe a headline or summary infringes your rights, email the contact address in the footer with the page URL and basis of your claim, and we will remove or replace it after review.
- Surge
- Discussion rising fast
- New
- First report within 6 hours
- Rising
- Still gathering discussion