Llama3 Ko 4bit by vessl

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Llama3 Ko 4bit is an open-source language model by vessl. Features: 8.2b LLM, VRAM: 5.8GB, Context: 8K, Quantized, Merged, LLM Explorer Score: 0.13.

  Merged Model   Arxiv:1910.09700   4-bit   4bit   Bitsandbytes   Endpoints compatible   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Llama3 Ko 4bit Benchmarks

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

Llama3 Ko 4bit Parameters and Internals

LLM NameLlama3 Ko 4bit
Repository 🤗https://huggingface.co/vessl/llama3-ko-4bit 
Merged ModelYes
Model Size8.2b
Required VRAM5.8 GB
Updated2026-04-24
Maintainervessl
Model Typellama
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.38.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typefloat16

Best Alternatives to Llama3 Ko 4bit

Best Alternatives
Context / RAM
Downloads
Likes
KernelLLM Unsloth Bnb 4bit128K / 6 GB52
Book 4bit8K / 5.8 GB60
Ko Pt Model Test18K / 16.4 GB20270
Maqa Llama 4bit8K / 5.8 GB130
Llama SciQ 4bits8K / 5.8 GB50
RAFT Llama3 Version 24.06.018K / 5.8 GB50
Llama 3 Merged Linear8K / 5.8 GB930
Llama 3 Ko Luxia Instruct8K / 16.4 GB133
Note: green Score (e.g. "73.2") means that the model is better than vessl/llama3-ko-4bit.

Rank the Llama3 Ko 4bit 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