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LFM2.5 350M ONNX by onnx-community

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LFM2.5 350M ONNX is an open-source language model by onnx-community. Features: 350m LLM, Context: 125K, License: other, LLM Explorer Score: 0.27.

  Arxiv:2511.23404   Ar Base model:liquidai/lfm2.5-350... Base model:quantized:liquidai/...   Conversational   De   Edge   En   Es   Fr   Ja   Ko   Lfm2   Lfm2.5   Liquid   Onnx   Pt   Region:us   Transformers.js   Zh
Model Card on HF 🤗: https://huggingface.co/onnx-community/LFM2.5-350M-ONNX 

LFM2.5 350M ONNX Benchmarks

LLME Score: 0.26898
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 ONNX (onnx-community/LFM2.5-350M-ONNX)
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LFM2.5 350M ONNX Parameters and Internals

LLM NameLFM2.5 350M ONNX
Repository 🤗https://huggingface.co/onnx-community/LFM2.5-350M-ONNX 
Base Model(s)  LiquidAI/LFM2.5-350M   LiquidAI/LFM2.5-350M
Model Size350m
Updated2026-07-03
Maintaineronnx-community
Model Typelfm2
Supported Languagesen ar zh fr de ja ko es pt
Model ArchitectureLfm2ForCausalLM
Licenseother
Context Length128000
Model Max Length128000
Transformers Version5.5.0.dev0
Tokenizer ClassTokenizersBackend
Padding Token<|pad|>
Vocabulary Size65536

Best Alternatives to LFM2.5 350M ONNX

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Context / RAM
Downloads
Likes
LFM2.5 350M125K / 0.7 GB74543356
LFM2.5 350M Base125K / 0.7 GB2910420
LFM2 350M125K / 0.7 GB14521249
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
Note: green Score (e.g. "73.2") means that the model is better than onnx-community/LFM2.5-350M-ONNX.

Rank the LFM2.5 350M ONNX 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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