Carnice 9B Function Calling XLAM Unsloth by ermiaazarkhalili

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Carnice 9B Function Calling XLAM Unsloth is an open-source language model by ermiaazarkhalili. Features: 9b LLM, VRAM: 17.9GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.33.

Base model:adapter:kai-os/carn...   Base model:kai-os/carnice-9b   Conversational Dataset:salesforce/xlam-functi...   En   Endpoints compatible   Finetuned   Function-calling   Gemma2   Lora   Peft   Qwen3 5 text   Region:us   Safetensors   Sharded   Tensorflow   Unsloth

Carnice 9B Function Calling XLAM Unsloth Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Carnice 9B Function Calling XLAM Unsloth Parameters and Internals

LLM NameCarnice 9B Function Calling XLAM Unsloth
Repository 🤗https://huggingface.co/ermiaazarkhalili/Carnice-9B-Function-Calling-xLAM-Unsloth 
Model Namekai-os/Carnice-9b
Base Model(s)  Carnice 9B   kai-os/Carnice-9b
Model Size9b
Required VRAM17.9 GB
Updated2026-04-22
Maintainerermiaazarkhalili
Model Typeqwen3_5_text
Model Files  9.9 GB: 1-of-2   8.0 GB: 2-of-2
Supported Languagesen
Model ArchitectureQwen3_5ForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Tokenizer ClassTokenizersBackend
Padding Token<|endoftext|>
Vocabulary Size248320
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than ermiaazarkhalili/Carnice-9B-Function-Calling-xLAM-Unsloth.

Rank the Carnice 9B Function Calling XLAM Unsloth Capabilities

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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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Release v20260328a