What are the hardware requirements for Ko Llama 3.1 5B Instruct?

Ko Llama 3.1 5B Instruct requires approximately 23.4 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Ko Llama 3.1 5B Instruct and how large is it?

Ko Llama 3.1 5B Instruct is developed by kikikara, a model with 5b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Ko Llama 3.1 5B Instruct?

Ko Llama 3.1 5B Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ko Llama 3.1 5B Instruct by kikikara — VRAM 23.4GB, 128K context

Name: Ko Llama 3.1 5B Instruct
Rating: 4 (8 reviews)
Author: kikikara

Ko Llama 3.1 5B Instruct is an open-source language model by kikikara. Features: 5b LLM, VRAM: 23.4GB, Context: 128K, License: llama3.1, Instruction-Based, LLM Explorer Score: 0.14.

Conversational Endpoints compatible Instruct Ko Llama Region:us Safetensors Sft Sharded Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/kikikara/ko-llama-3.1-5b-instruct

Ko Llama 3.1 5B Instruct Parameters and Internals

Model Type

text generation

Supported Languages

Korean (Fluent)

Training Details

Methodology:

The model was trained by deleting 10 layers from the original Meta-Llama-3.1-8B-Instruct model's 32 layers and training the remainder.

LLM Name	Ko Llama 3.1 5B Instruct
Repository 🤗	https://huggingface.co/kikikara/ko-llama-3.1-5b-instruct
Model Size	5b
Required VRAM	23.4 GB
Updated	2026-05-22
Maintainer	kikikara
Model Type	llama
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-5 4.8 GB: 2-of-5 5.0 GB: 3-of-5 5.0 GB: 4-of-5 3.7 GB: 5-of-5
Supported Languages	ko
Model Architecture	LlamaForCausalLM
License	llama3.1
Context Length	131072
Model Max Length	131072
Transformers Version	4.43.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|eot_id\|>
Vocabulary Size	128256
Torch Data Type	float32

Rank the Ko Llama 3.1 5B Instruct capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Ko Llama 3.1 5B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
Apriel 5B Instruct Llamafied	16K / 9.7 GB	9	4
Llama 3.1 5B Instruct	8K / 10.9 GB	21	1

Note: green Score (e.g. "73.2") means that the model is better than kikikara/ko-llama-3.1-5b-instruct.