What are the hardware requirements for Gemma Ko V01?

Gemma Ko V01 requires approximately 5.1 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 Gemma Ko V01 and how large is it?

Gemma Ko V01 is developed by frcp, a model with 2.5b 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 Gemma Ko V01?

Gemma Ko V01 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma Ko V01 by frcp — VRAM 5.1GB, 8K context

Name: Gemma Ko V01
Author: frcp

Gemma Ko V01 is an open-source language model by frcp. Features: 2.5b LLM, VRAM: 5.1GB, Context: 8K, Merged, LLM Explorer Score: 0.13.

Merged Model Arxiv:1910.09700 Conversational Endpoints compatible Gemma Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/frcp/gemma_ko_v01

Gemma Ko V01 Parameters and Internals

LLM Name	Gemma Ko V01
Repository 🤗	https://huggingface.co/frcp/gemma_ko_v01
Merged Model	Yes
Model Size	2.5b
Required VRAM	5.1 GB
Updated	2026-07-31
Maintainer	frcp
Model Type	gemma
Model Files	5.0 GB: 1-of-2 0.1 GB: 2-of-2
Model Architecture	GemmaForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.41.1
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the Gemma Ko V01 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 Gemma Ko V01

Best Alternatives	Context / RAM	Downloads
Sherlock Gemma Finetuned	8K / 2.2 GB	6
Geko3	8K / 5.1 GB	7
M3 Sft Orca It Base	8K / 10 GB	11
M3 Sft Orca It Base	8K / 10 GB	5
Orca Gemma It DPO	8K / 10 GB	5
Gemma EPFL	8K / 10 GB	5
M3 Sft It DPO	8K / 10 GB	10
M3 Sft Gemma It	8K / 10 GB	9
M3 Sft Gemma	8K / 10 GB	7
Orca Gemma It DPO	8K / 10 GB	7

Note: green Score (e.g. "73.2") means that the model is better than frcp/gemma_ko_v01.