What are the hardware requirements for Gemma Ko 7B?

Gemma Ko 7B requires approximately 17 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 Gemma Ko 7B and how large is it?

Gemma Ko 7B is developed by beomi, a model with 7b 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 Gemma Ko 7B?

Gemma Ko 7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma Ko 7B by beomi — VRAM 17GB, 8K context

Name: Gemma Ko 7B
Author: beomi

Gemma Ko 7B is an open-source language model by beomi. Features: 7b LLM, VRAM: 17GB, Context: 8K, License: other, LLM Explorer Score: 0.13.

Doi:10.57967/hf/1859 En Endpoints compatible Gemma Ko Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/beomi/gemma-ko-7b

Gemma Ko 7B Benchmarks

LLME Score: 0.12615

^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)

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Gemma Ko 7B Parameters and Internals

Model Type

text generation

Use Cases

Areas:

Content Creation and Communication, Research and Education

Applications:

Text Generation, NLP Research, Language Learning Tools, Knowledge Exploration

Primary Use Cases:

Question answering, Summarization, Reasoning

Limitations:

Biases or gaps in the training data can lead to limitations in the model's responses., LLMs might struggle to grasp subtle nuances, sarcasm, or figurative language., They may generate incorrect or outdated factual statements., Lack the ability to apply common sense reasoning in certain situations.

Considerations:

Developers are encouraged to adhere to privacy regulations with privacy-preserving techniques.

Additional Notes

Open Large Language Models (LLMs) have a wide range of applications across various industries and domains.

Supported Languages

ko (fluent), en (fluent)

Training Details

Context Length:

2048

Hardware Used:

TPU

Model Architecture:

Text-to-text decoder-only

Responsible Ai Considerations

Fairness:

LLMs trained on large-scale, real-world text data can reflect socio-cultural biases embedded in the training material.

Transparency:

This model card summarizes details on the models' architecture, capabilities, limitations, and evaluation processes.

Accountability:

Mechanisms and guidelines for content safety are essential. Developers are encouraged to exercise caution and implement appropriate content safety safeguards based on their specific product policies and application use cases.

Mitigation Strategies:

Educational resources and reporting mechanisms for users to flag misuse are provided.

Input Output

Input Format:

Text string

Accepted Modalities:

text

Output Format:

Generated Korean/English-language text

Performance Tips:

Longer context generally leads to better outputs, up to a certain point.

Release Notes

Version:

Date:

2024-03-08

Notes:

First release of Gemma-Ko 7B model

LLM Name	Gemma Ko 7B
Repository 🤗	https://huggingface.co/beomi/gemma-ko-7b
Model Size	7b
Required VRAM	17 GB
Updated	2026-04-16
Maintainer	beomi
Model Type	gemma
Model Files	2.9 GB: 1-of-6 2.9 GB: 2-of-6 3.0 GB: 3-of-6 2.9 GB: 4-of-6 2.9 GB: 5-of-6 2.4 GB: 6-of-6
Supported Languages	ko en
Model Architecture	GemmaForCausalLM
License	other
Context Length	8192
Model Max Length	8192
Transformers Version	4.38.1
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Best Alternatives to Gemma Ko 7B

Best Alternatives	Context / RAM	Downloads	Likes
Kaggle Math Model Gemma V1	12K / 17.1 GB	5	0
Gemma 1.1 7B It	8K / 17.1 GB	20065	275
Gemma 1.1 7B It	8K / 17.1 GB	28	4
Gemma 7B It	8K / 17.1 GB	1029	10
SeaLLM 7B V2.5	8K / 17.1 GB	12410	50
Zephyr 7B Gemma DPO Avg	8K / 17.1 GB	15	0
Zephyr 7B Gemma Rpo Avg	8K / 17.1 GB	7	0
... Codegemma 2 7B It Alpaca V1.3	8K / 17.1 GB	9	1
Zephyr 7B Gemma V0.1	8K / 17.1 GB	302	124
... 7B Finetuned Sft Navarasa 2.0	8K / 34 GB	314	23

Note: green Score (e.g. "73.2") means that the model is better than beomi/gemma-ko-7b.

Rank the Gemma Ko 7B 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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Gemma Ko 7B by beomi

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Gemma Ko 7B Benchmarks

Gemma Ko 7B Parameters and Internals

Best Alternatives to Gemma Ko 7B

Rank the Gemma Ko 7B Capabilities

What open-source LLMs or SLMs are you in search of? 53254 in total.