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LFM2.5 1.2B Function Calling XLAM Unsloth by ermiaazarkhalili

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LFM2.5 1.2B Function Calling XLAM Unsloth is an open-source language model by ermiaazarkhalili. Features: 1.2b LLM, VRAM: 2.3GB, Context: 125K, License: apache-2.0, Instruction-Based.

Base model:adapter:liquidai/lf... Base model:liquidai/lfm2.5-1.2...   Conversational Dataset:salesforce/xlam-functi...   En   Endpoints compatible   Finetuned   Function-calling   Instruct   Lfm2   Lora   Peft   Region:us   Safetensors   Unsloth
Model Card on HF 🤗: https://huggingface.co/ermiaazarkhalili/LFM2.5-1.2B-Function-Calling-xLAM-Unsloth 
LFM2.5 1.2B Function Calling XLAM Unsloth (ermiaazarkhalili/LFM2.5-1.2B-Function-Calling-xLAM-Unsloth)
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LFM2.5 1.2B Function Calling XLAM Unsloth Parameters and Internals

LLM NameLFM2.5 1.2B Function Calling XLAM Unsloth
Repository 🤗https://huggingface.co/ermiaazarkhalili/LFM2.5-1.2B-Function-Calling-xLAM-Unsloth 
Model NameLiquidAI/LFM2.5-1.2B-Instruct
Base Model(s)  LiquidAI/LFM2.5-1.2B-Instruct   LiquidAI/LFM2.5-1.2B-Instruct
Model Size1.2b
Required VRAM2.3 GB
Updated2026-04-20
Maintainerermiaazarkhalili
Model Typelfm2
Instruction-BasedYes
Model Files  2.3 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/LFM2.5-1.2B-Function-Calling-xLAM-Unsloth.

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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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