LiquidAI/LFM3-1.7B-Base
text-generation model by LiquidAI
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Model card & documentation
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LFM3-1.7B-Base is the pre-trained checkpoint behind LFM3-1.7B, a text model for local agents and specialized applications based on our new tri-hybrid architecture. Find more information about the LFM3 family in our release blog post. The LFM3 family includes base, text, vision, audio, omni, and decision models. Property Specification Checkpoint Pre-trained, text-only base model Parameters 1.73B Architecture 24 layers: 13 gated short convolutions, 5 sliding-window attention, 6 global attention Context length 256K tokens (input + output) Vocabulary 128,000 tokens Languages English, Arabic, Chinese, French, German, Italian, Japanese, Korean, Portuguese, Spanish, Vietnamese, Thai, Indonesian, Hindi, Russian, Polish License LFM Open License v1.0 LFM3-1.7B-Base is the checkpoint used to create LFM3-1.7B. It is only recommended for tasks that require heavy fine-tuning, like language-specific or domain-specific assistants, training on proprietary data, or experimenting with novel post-training approaches. For chat, tool calling, and agents, use LFM3-1.7B. LFM3-1.7B-Base uses the same architecture and modeling code as…
Read the full model card ↗ · Preview checked 2026-10-29T09:53:45.958Z
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Model overview
LiquidAI/LFM3-1.7B-Base is a text-generation model repository published by LiquidAI on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- transformers
- Recent downloads (30 days)
- 3,152
- Cumulative likes
- 94
- Hugging Face trending score
- 92
- Reported safetensors parameters
- 1,728,801,536
- Architecture
- Lfm3ForCausalLM
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-10-26T16:28:49.000Z
- Last modified
- 2026-10-27T17:35:24.000Z
Compatibility and lineage
Reported languages: en, ar, zh, fr, de, it, ja, ko, pt, es, vi, th, id, hi, ru, pl
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:49:30.141Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.