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LFM2.5 350M Function Calling XLAM Unsloth by ermiaazarkhalili

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LFM2.5 350M Function Calling XLAM Unsloth is an open-source language model by ermiaazarkhalili. Features: 350m LLM, VRAM: 0.7GB, Context: 125K, License: apache-2.0, LLM Explorer Score: 0.31.

Base model:adapter:liquidai/lf... Base model:liquidai/lfm2.5-350...   Conversational Dataset:salesforce/xlam-functi...   En   Endpoints compatible   Finetuned   Function-calling   Lfm2   Lfm2.5   Lora   Qlora   Region:us   Safetensors   Sft   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/ermiaazarkhalili/LFM2.5-350M-Function-Calling-xLAM-Unsloth 

LFM2.5 350M Function Calling XLAM Unsloth Benchmarks

LLME Score: 0.30751
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 Function Calling XLAM Unsloth (ermiaazarkhalili/LFM2.5-350M-Function-Calling-xLAM-Unsloth)
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LFM2.5 350M Function Calling XLAM Unsloth Parameters and Internals

LLM NameLFM2.5 350M Function Calling XLAM Unsloth
Repository 🤗https://huggingface.co/ermiaazarkhalili/LFM2.5-350M-Function-Calling-xLAM-Unsloth 
Model NameLiquidAI/LFM2.5-350M
Base Model(s)  LiquidAI/LFM2.5-350M   LiquidAI/LFM2.5-350M
Model Size350m
Required VRAM0.7 GB
Updated2026-04-25
Maintainerermiaazarkhalili
Model Typelfm2
Model Files  0.7 GB
Supported Languagesen
Model ArchitectureLfm2ForCausalLM
Licenseapache-2.0
Context Length128000
Model Max Length128000
Tokenizer ClassTokenizersBackend
Padding Token<|pad|>
Vocabulary Size65536
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than ermiaazarkhalili/LFM2.5-350M-Function-Calling-xLAM-Unsloth.

Rank the LFM2.5 350M Function Calling XLAM Unsloth Capabilities

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Instruction Following and Task Automation  
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