LiquidAI/LFM3-1.7B
text-generation model by LiquidAI
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
LFM3-1.7B is 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 Post-trained, text-only language 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 is designed for local agents, tool calling, structured outputs, and domain-specific fine-tuning. Use retrieval or search for knowledge-heavy tasks. It is not recommended for agentic coding or complex multi-step reasoning due to its small size. Choose a checkpoint variant for your inference framework and hardware. Checkpoint Framework Description BF16 vLLM, SGLang, Transformers BF16 weights…
Read the full model card ↗ · Preview checked 2026-11-02T07:58:14.171Z
Inside the original model card — Document outline
- LFM3-1.7B
- Model details
- Inference
- Fine-tuning
- Performance
- Benchmarks
- Edge inference
- GPU inference
- Training
- Citation
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Links from the model card
References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.
Documentation belongs to its respective authors. Reported project/model license: other. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
LiquidAI/LFM3-1.7B 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)
- 37,568
- Cumulative likes
- 737
- Hugging Face trending score
- 656
- Reported safetensors parameters
- 1,728,801,536
- Architecture
- Lfm3ForCausalLM
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-10-23T21:35:42.000Z
- Last modified
- 2026-10-28T17:16:37.000Z
Compatibility and lineage
Reported languages: en, ar, zh, fr, de, it, ja, ko, pt, es, vi, th, id, hi, ru, pl
Reported base models: LiquidAI/LFM3-1.7B-Base
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
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-02T06:50:16.442Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.