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Limbic Tool Use 0.5B 32K by quotientai

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Limbic Tool Use 0.5B 32K is an open-source language model by quotientai. Features: 0.5b LLM, VRAM: 1GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.2.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-0.5b-i...   Conversational Dataset:quotientai/limbic-eval...   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Unsloth
Model Card on HF 🤗: https://huggingface.co/quotientai/limbic-tool-use-0.5B-32K 

Limbic Tool Use 0.5B 32K Benchmarks

LLME Score: 0.2009
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Limbic Tool Use 0.5B 32K (quotientai/limbic-tool-use-0.5B-32K)
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Limbic Tool Use 0.5B 32K Parameters and Internals

LLM NameLimbic Tool Use 0.5B 32K
Repository 🤗https://huggingface.co/quotientai/limbic-tool-use-0.5B-32K 
Base Model(s)  Qwen/Qwen2.5-0.5B-Instruct   Qwen/Qwen2.5-0.5B-Instruct
Model Size0.5b
Required VRAM1 GB
Updated2026-04-21
Maintainerquotientai
Model Typeqwen2
Instruction-BasedYes
Model Files  1.0 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.53.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than quotientai/limbic-tool-use-0.5B-32K.

Rank the Limbic Tool Use 0.5B 32K 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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