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Llama3.2 ColdBrew 4B Base by SvalTek

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Llama3.2 ColdBrew 4B Base is an open-source language model by SvalTek. Features: 3b LLM, VRAM: 7.2GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.19.

Base model:bunnycore/llama-3.2... Base model:finetune:bunnycore/...   Conversational   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/SvalTek/Llama3.2-ColdBrew-4B-Base 

Llama3.2 ColdBrew 4B Base Benchmarks

LLME Score: 0.19379
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3.2 ColdBrew 4B Base (SvalTek/Llama3.2-ColdBrew-4B-Base)
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Llama3.2 ColdBrew 4B Base Parameters and Internals

LLM NameLlama3.2 ColdBrew 4B Base
Repository 🤗https://huggingface.co/SvalTek/Llama3.2-ColdBrew-4B-Base 
Base Model(s)  bunnycore/Llama-3.2-3B-RP-DeepThink   bunnycore/Llama-3.2-3B-RP-DeepThink
Model Size3b
Required VRAM7.2 GB
Updated2026-04-27
MaintainerSvalTek
Model Typellama
Model Files  5.0 GB: 1-of-2   2.2 GB: 2-of-2   2.2 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.53.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than SvalTek/Llama3.2-ColdBrew-4B-Base.

Rank the Llama3.2 ColdBrew 4B Base 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  
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