LFM2.5-2.6B
PulseAugur coverage of LFM2.5-2.6B — every cluster mentioning LFM2.5-2.6B across labs, papers, and developer communities, ranked by signal.
- 2026-08-12 research_milestone The LFM2.5-2.6B model, also referred to as Liquid, has been added to an AI model tracking service, highlighting its open weights and 128k token context window. source
- 2026-08-05 product_launch Liquid AI released LFM2.5-2.6B, an on-device agentic model with a 128K context window and open weights. source
- 2026-08-04 product_launch Liquid AI released the LFM2.5-2.6B language model, focusing on agentic capabilities. source
- 2026-08-04 product_launch LiquidAI released the LFM2.5-2.6B model for local agent deployment. source
- 2026-08-04 product_launch LiquidAI released the LFM2.5-2.6B model for local agent deployment. source
9 day(s) with sentiment data
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LFM2.5-2.6B model runs on Linux iGPU via Ollama
A user has successfully run the LFM2.5-2.6B language model using Ollama on an integrated GPU (iGPU) under the Linux operating system. The process involved specific configurations and steps detailed in a linked blog post…
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Liquid AI boosts LFM2.5 model speed up to 3.18x with DSpark speculative decoding
Liquid AI has released DSpark draft models for its LFM2.5 series, which enhance decoding speed by up to 3.18x without altering output quality. These models utilize speculative decoding, where a smaller draft model propo…
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Liquid AI releases QAD versions of LFM2.5 models for efficient edge deployment
Liquid AI has released a Quantization-Aware Distillation (QAD) version of its LFM2.5 series of small AI models. This new version is designed to reduce memory usage while minimizing performance degradation, making the mo…
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Liquid AI releases 3B vision-language model for on-device use
Liquid AI has launched LFM2.5-VL-3B, a 3.1 billion parameter vision-language model designed for on-device applications. This model excels at reading digital screens, identifying objects with coordinates, and processing …
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LiquidAI releases LFM2.5-VL-3B for enhanced edge vision capabilities
LiquidAI has released LFM2.5-VL-3B, a vision-language model designed for edge devices. This new model offers significant improvements in screen understanding, object grounding, multi-image reasoning, and function callin…
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Open-weights LFM2.5-2.6B model with 128k context added to tracker
The LFM2.5-2.6B model, also known as Liquid, has been added to an AI model tracking service. This model features open weights and a free tier, with a context window of 128,000 tokens.
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Liquid AI releases compact agent model; Mistral launches safety classifier
Liquid AI has released LFM2.5-2.6B, a compact text-only model optimized for agent harnesses and tool interaction, featuring a large context window and multilingual support. While not recommended for complex coding, its …
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New AI Models Released: DeepSeek, LiquidAI, OMLAB, and MiniMaxAI on Hugging Face
Several AI models have been released and are available on Hugging Face. DeepSeek-V4-Pro-0813 is a model from DeepSeek. LiquidAI has released LFM2.5-VL-3B, a multimodal model designed for on-device deployment that can pr…
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Local AI Updates: llama.cpp, PyTorch, Kimi-K3, and NVIDIA NeMo Speech 3.0
Recent updates in the local AI and open-source model space include performance enhancements for llama.cpp with CUDA fusion, addressing critical quantization bugs in PyTorch for AMD GPUs, and the trending Moonshot AI Kim…
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New 5.72B MoE model fuses coding experts from Qwen3.6-35B-A3B
The Akahsizrr/fuse-1-Lite model is a 5.72B parameter Mixture-of-Experts model that combines a lightweight language model with coding experts from Qwen3.6-35B-A3B. This fusion approach involves transplanting expert weigh…
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LFM2.5-2.6B model runs on OnePlus 13 CPU at 17 tokens/sec
A user has successfully run the LFM2.5-2.6B language model on a OnePlus 13 smartphone using only the device's CPU. The model, which features 2.69 billion parameters and a 128K context window, achieved a speed of 17 toke…
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Liquid AI releases on-device agentic model LFM2.5-2.6B with 128K context
Liquid AI has released LFM2.5-2.6B, an open-weights, on-device agentic model designed for mobile and edge devices. This model boasts 2.69 billion parameters, a 128,000-token context window, and can perform multi-step ta…
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New AI Model LFM2.5-2.6B Surpasses 9B Models, Enables Smartphone Agents
A new AI model named LFM2.5-2.6B has been released, reportedly surpassing the performance of 9B parameter models. This development signals a new era where AI agents can operate on smartphones.
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Liquid AI releases 2.6B model capable of 128K context on phones
Liquid AI has released LFM2.5-2.6B, a compact language model designed for local AI applications. Despite its small size of 2.69 billion parameters, the model boasts a 128K context window and supports tool calling, makin…
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Liquid AI releases LFM2.5-2.6B model with agentic focus
Liquid AI has released LFM2.5-2.6B, a new small-scale language model. The release emphasizes enhanced agentic capabilities, aiming to excel at high-volume tasks such as document summarization. The developers are particu…
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LiquidAI releases LFM2.5-2.6B for efficient local agent deployment
LiquidAI has released LFM2.5-2.6B, a new language model designed for efficient local agent deployment. Despite its small size, the model demonstrates competitive performance against significantly larger models on tasks …
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LiquidAI releases LFM2.5-2.6B models for efficient on-device AI
LiquidAI has released LFM2.5-2.6B and LFM2.5-2.6B-GGUF, a family of hybrid models designed for efficient on-device deployment. These models boast a 128K context window and advanced agentic capabilities, making them comp…
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Liquid AI open-sources Antidoom to fix AI model doom loops · 2 sources tracked
Liquid AI has introduced Antidoom, an open-source method designed to mitigate "doom loops" in AI reasoning models. This issue causes models to repeatedly output the same text, consuming the context window, and is partic…