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LFM2.5 350M by LiquidAI

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LFM2.5 350M is an open-source language model by LiquidAI. Features: 350m LLM, VRAM: 0.7GB, Context: 125K, License: other, LLM Explorer Score: 0.4.

  Arxiv:2511.23404   Ar Base model:finetune:liquidai/l... Base model:liquidai/lfm2.5-350...   Conversational   De   Deploy:azure   Edge   En   Endpoints compatible   Es   Eval-results   Fr   Ja   Ko   Lfm2   Lfm2.5   Liquid   Pt   Region:us   Safetensors   Zh
Model Card on HF 🤗: https://huggingface.co/LiquidAI/LFM2.5-350M 

LFM2.5 350M Benchmarks

LLME Score: 0.40358
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LFM2.5 350M (LiquidAI/LFM2.5-350M)
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LFM2.5 350M Parameters and Internals

LLM NameLFM2.5 350M
Repository 🤗https://huggingface.co/LiquidAI/LFM2.5-350M 
Base Model(s)  LiquidAI/LFM2.5-350M-Base   LiquidAI/LFM2.5-350M-Base
Model Size350m
Required VRAM0.7 GB
Updated2026-07-02
MaintainerLiquidAI
Model Typelfm2
Model Files  0.7 GB
Supported Languagesen ar zh fr de ja ko es pt
Model ArchitectureLfm2ForCausalLM
Licenseother
Context Length128000
Model Max Length128000
Transformers Version5.0.0rc1
Tokenizer ClassTokenizersBackend
Padding Token<|pad|>
Vocabulary Size65536

Quantized Models of the LFM2.5 350M

Model
Likes
Downloads
VRAM
Claude Oss 350M48071 GB

Best Alternatives to LFM2.5 350M

Best Alternatives
Context / RAM
Downloads
Likes
LFM2.5 350M Base125K / 0.7 GB2910420
LFM2 350M125K / 0.7 GB14521249
LFM2.5 350M ONNX125K /  GB8934
LFM2.5 350M SFT Fable5 Glint125K / 0.7 GB250
LFM2 350M CPT125K / 0.7 GB6320
....5 350M Home Assistant Sft V13125K / 0.7 GB1000
... Function Calling XLAM Unsloth125K / 0.7 GB1290
....5 350M Tool Calling Merged V2125K / 0.7 GB630
....5 350M Tool Calling Merged V3125K / 0.7 GB371
Terminus LFM2.5 350M125K / 0.7 GB434

Rank the LFM2.5 350M Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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