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ReasoningCore 3B 0 by EpistemeAI

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ReasoningCore 3B 0 is an open-source language model by EpistemeAI. Features: 3b LLM, VRAM: 6.5GB, Context: 128K, License: llama3.2, Quantized, Instruction-Based, LLM Explorer Score: 0.23.

  4bit Base model:finetune:unsloth/ll... Base model:unsloth/llama-3.2-3...   Conversational   Dataset:openai/gsm8k   En   Endpoints compatible   Instruct   Llama   Model-index   Pytorch   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/EpistemeAI/ReasoningCore-3B-0 

ReasoningCore 3B 0 Benchmarks

LLME Score: 0.23397
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ReasoningCore 3B 0 (EpistemeAI/ReasoningCore-3B-0)

ReasoningCore 3B 0 Parameters and Internals

LLM NameReasoningCore 3B 0
Repository 🤗https://huggingface.co/EpistemeAI/ReasoningCore-3B-0 
Base Model(s)  unsloth/Llama-3.2-3B-Instruct-unsloth-bnb-4bit   unsloth/Llama-3.2-3B-Instruct-unsloth-bnb-4bit
Model Size3b
Required VRAM6.5 GB
Updated2026-08-02
MaintainerEpistemeAI
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.5 GB: 2-of-2   5.0 GB: 1-of-2   1.5 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licensellama3.2
Context Length131072
Model Max Length131072
Transformers Version4.48.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than EpistemeAI/ReasoningCore-3B-0.

Rank the ReasoningCore 3B 0 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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