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LFM2 350M 8bit by mlx-community

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LFM2 350M 8bit is an open-source language model by mlx-community. Features: 350m LLM, VRAM: 0.4GB, Context: 125K, License: other, Quantized, LLM Explorer Score: 0.23.

  8-bit   8bit   Ar   Base model:liquidai/lfm2-350m Base model:quantized:liquidai/...   Conversational   De   Edge   En   Es   Fr   Ja   Ko   Lfm2   Liquid   Mlx   Quantized   Region:us   Safetensors   Zh
Model Card on HF 🤗: https://huggingface.co/mlx-community/LFM2-350M-8bit 

LFM2 350M 8bit Benchmarks

LLME Score: 0.22645
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LFM2 350M 8bit (mlx-community/LFM2-350M-8bit)
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LFM2 350M 8bit Parameters and Internals

LLM NameLFM2 350M 8bit
Repository 🤗https://huggingface.co/mlx-community/LFM2-350M-8bit 
Base Model(s)  LFM2 350M   LiquidAI/LFM2-350M
Model Size350m
Required VRAM0.4 GB
Updated2026-05-13
Maintainermlx-community
Model Typelfm2
Model Files  0.4 GB
Supported Languagesen ar zh fr de ja ko es
Quantization Type8bit
Model ArchitectureLfm2ForCausalLM
Licenseother
Context Length128000
Model Max Length128000
Transformers Version4.54.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|pad|>
Vocabulary Size65536
Torch Data Typebfloat16

Best Alternatives to LFM2 350M 8bit

Best Alternatives
Context / RAM
Downloads
Likes
...to Cleanup Lfm25 350M Mlx 5bit125K / 0.2 GB6352
LFM2 350M 4bit125K / 0.2 GB906
LFM2.5 350M125K / 0.7 GB108802299
LFM2.5 350M Base125K / 0.7 GB1554611
....5 350M Tool Calling Merged V2125K / 0.7 GB2300
LFM2.5 350M ONNX125K /  GB13224
LFM2 350M125K / 0.7 GB21714248
... Function Calling XLAM Unsloth125K / 0.7 GB5370
LFM2 350M CPT125K / 0.7 GB6320
LFM2.5 350M Home Assistant DPO125K / 0.7 GB980
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/LFM2-350M-8bit.

Rank the LFM2 350M 8bit 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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