What are the hardware requirements for Llama 3 Korean Bllossom 8B?

Llama 3 Korean Bllossom 8B requires approximately 16.1 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3 Korean Bllossom 8B and how large is it?

Llama 3 Korean Bllossom 8B is developed by MLP-KTLim, a model with 8b 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 Llama 3 Korean Bllossom 8B?

Llama 3 Korean Bllossom 8B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3 Korean Bllossom 8B by MLP-KTLim — VRAM 16.1GB, 8K context

Name: Llama 3 Korean Bllossom 8B
Rating: 4 (8 reviews)
Author: MLP-KTLim

Llama 3 Korean Bllossom 8B is an open-source language model by MLP-KTLim. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: llama3, LLM Explorer Score: 0.23.

Arxiv:2403.10882 Arxiv:2403.11399 Base model:finetune:meta-llama... Base model:meta-llama/meta-lla... Conversational Deploy:azure En Endpoints compatible Ko Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/MLP-KTLim/llama-3-Korean-Bllossom-8B

Llama 3 Korean Bllossom 8B Benchmarks

IFEval: 51.13 vs 88 (so35)^-41.9%

MATH Lvl 5: 10.2

LLME Score: 0.23491

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

What is the LLM Explorer Rank (Score)

Llama 3 Korean Bllossom 8B (MLP-KTLim/llama-3-Korean-Bllossom-8B)

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Llama 3 Korean Bllossom 8B Parameters and Internals

Model Type

Bilingual Language Model

Use Cases

Areas:

Research, Commercial

Additional Notes

Bllossom is a robust model for Korean-English bilingual tasks, incorporating advanced methodologies such as ELO pre-training and custom instruction tuning. The model facilitates commercial applications and offers advanced analytics for multilingual processing.

Supported Languages

en (English), ko (Korean)

Training Details

Data Sources:

Korean-English Parallel Corpus, Human Feedback

Data Volume:

250GB

Methodology:

Instruction Tuning, Vocabulary Expansion, Knowledge Linking

Model Architecture:

Vision-Language Alignment

Input Output

Input Format:

Chat template

Accepted Modalities:

Text

Release Notes

Date:

2024.08.09

Notes:

Update based on Llama3.1 model; performance enhancements.

Version:

Bllossom ELO

Date:

2024.06.18

Notes:

Increased pre-training data and improved performance.

LLM Name	Llama 3 Korean Bllossom 8B
Repository 🤗	https://huggingface.co/MLP-KTLim/llama-3-Korean-Bllossom-8B
Base Model(s)	Meta Llama 3 8B meta-llama/Meta-Llama-3-8B
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-04-23
Maintainer	MLP-KTLim
Model Type	llama
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Supported Languages	en ko
Model Architecture	LlamaForCausalLM
License	llama3
Context Length	8192
Model Max Length	8192
Transformers Version	4.43.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Best Alternatives to Llama 3 Korean Bllossom 8B

Best Alternatives	Context / RAM	Downloads	Likes
...otron 8B UltraLong 4M Instruct	4192K / 32.1 GB	89	119
UltraLong Thinking	4192K / 16.1 GB	9	3
...a 3.1 8B UltraLong 4M Instruct	4192K / 32.1 GB	176	24
...a 3.1 8B UltraLong 2M Instruct	2096K / 32.1 GB	875	9
...otron 8B UltraLong 2M Instruct	2096K / 32.1 GB	115	17
Cthulhu 8B V1.4	1048K / 16.1 GB	12	9
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	4577	56
...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...xis Bookwriter Llama3.1 8B Sft	1048K / 16.1 GB	12	4
Zero Llama 3.1 8B Beta6	1048K / 16.1 GB	7	1

Note: green Score (e.g. "73.2") means that the model is better than MLP-KTLim/llama-3-Korean-Bllossom-8B.

Rank the Llama 3 Korean Bllossom 8B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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

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Llama 3 Korean Bllossom 8B by MLP-KTLim

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Llama 3 Korean Bllossom 8B Benchmarks

Llama 3 Korean Bllossom 8B Parameters and Internals

Best Alternatives to Llama 3 Korean Bllossom 8B

Rank the Llama 3 Korean Bllossom 8B Capabilities

What open-source LLMs or SLMs are you in search of? 53232 in total.