What are the hardware requirements for Gemma Ko 7B It V0.40?

Gemma Ko 7B It V0.40 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 It V0.40 and how large is it?

Gemma Ko 7B It V0.40 is developed by lemon-mint, 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 It V0.40?

Gemma Ko 7B It V0.40 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma Ko 7B It V0.40 by lemon-mint — VRAM 17GB, 8K context

Name: Gemma Ko 7B It V0.40
Author: lemon-mint

Gemma Ko 7B It V0.40 is an open-source language model by lemon-mint. Features: 7b LLM, VRAM: 17GB, Context: 8K, License: other, LLM Explorer Score: 0.12.

Base model:finetune:google/gem... Base model:google/gemma-7b-it Conversational Deploy:azure En Endpoints compatible Gemma Ko Korean Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/lemon-mint/gemma-ko-7b-it-v0.40

Gemma Ko 7B It V0.40 Parameters and Internals

Model Type

text generation, natural language processing

Use Cases

Primary Use Cases:

language translation, text summarization, question answering, conversation generation

Limitations:

Bias present in training data, Possibility of generating incorrect information

Considerations:

Sensitive to biases in training data; outputs should be verified for accuracy.

Additional Notes

Model generates high-quality, coherent Korean text for contextually relevant applications.

Supported Languages

ko (Korean), en (English)

Release Notes

Version:

0.40

Notes:

Eval Loss: 1.222, lr: 1.5e-5, optimizer: adamw, lr_scheduler_type: cosine

LLM Name	Gemma Ko 7B It V0.40
Repository 🤗	https://huggingface.co/lemon-mint/gemma-ko-7b-it-v0.40
Base Model(s)	Gemma 7B It google/gemma-7b-it
Model Size	7b
Required VRAM	17 GB
Updated	2026-07-09
Maintainer	lemon-mint
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	4.38.2
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the Gemma Ko 7B It V0.40 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

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Note: green Score (e.g. "73.2") means that the model is better than lemon-mint/gemma-ko-7b-it-v0.40.