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shoonee/
gemma-3-1b-korean-novel

Name: gemma-3-1b-korean-novel
Availability: InStock

gemma

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license: gemma language:

ko
en pipeline_tag: text-generation tags:
korean
gemma
roleplay
comment-generation
diary

Gemma-3-1B Korean Novel Commenter

A lightweight conversational model designed to write comments on users’ diary or SNS-style posts.

Instead of general chatting, the model is specialized for reaction writing: reading a personal text and replying as if a real person left a comment under the post.

This model is used in the mobile app: https://play.google.com/store/apps/details?id=com.chensi.offgram&hl=ko
cover

Provided Files

Currently recommended:

comment_270m_260204.gguf — very fast, low resource inference
comment_1b_260203.gguf — higher quality responses

The 270M version is intended for on-device usage. The 1B version produces more natural emotional reactions but still keeps low compute requirements.

What the Model Does

The model reads a diary entry or SNS-like post and generates a human-like reaction comment.

Typical outputs include:

empathy
encouragement
emotional reaction
casual conversation-style replies

It is not a general knowledge assistant and will perform poorly on factual Q&A tasks.

Prompt Format

System

너는 SNS 일기에 댓글을 다는 사람이다.

User

[COMMENTER_PROFILE]$ageString ${character.gender}
[COMMENTER_STYLE]${character.speechStyle}
[COMMENT_LENGTH]${character.reactionLength}
[LANG]$lang
[DIARY]$diaryContent
[COMMENT]

Prompt Field Explanation

COMMENTER_PROFILE

Social age group expression (e.g., early 20s, mid-30s, late-40s)
Gender: male / female

COMMENTER_STYLE Defines personality and speaking style based on ai_comment.json.

Examples:

polite and considerate
warm empathy
casual teenage friendliness
calm encouragement

COMMENT_LENGTH Controls approximate response length. Values typically: 1, 1~2, 1~3 (roughly number of sentences)

LANG Final output language. Currently supported:

ko
en (more planned)

DIARY Actual user diary text written inside the app.

Training Characteristics

Base: Gemma family small model
Task: emotional reaction generation
Data: primarily empathy-focused conversational text
Optimized for: supportive responses rather than diverse knowledge

Because of the small model size (especially 270M), responses may be simple and sometimes repetitive. The model prioritizes emotional appropriateness over linguistic variety.

Continuous updates are planned to improve diversity and naturalness.

Limitations

Limited factual accuracy
Repetition in long conversations
Weak reasoning capability
Not suitable for coding or academic Q&A

This model is intended for social interaction simulation, not an information assistant.

Intended Use

diary apps
SNS companion systems
roleplay interaction
emotional feedback systems
character comment generation

Notes

The model is designed to respond kindly and supportively to personal writing. It may over-empathize or avoid negative reactions due to training bias.

License