Quatfit/Riko-1.2B-GGUF overview
model size https://img.shields.io/badge/params 1.1B blue https://huggingface.co/Quatfit/Riko 1.1B format https://img.shields.io/badge/format GGUF lightgrey htt…
Runs locally from ~2.31 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Premium-Model.gguf | GGUF | GGUF | 2.31 GB | Download |
Model Details
| Model ID | Quatfit/Riko-1.2B-GGUF |
|---|---|
| Author | Quatfit |
| Pipeline | text-generation |
| License | cc-by-nc-2.0 |
| Base model | — |
| Last modified | 2026-06-21T00:28:00.000Z |
Model README
---
license: cc-by-nc-2.0
language:
- en
pipeline_tag: text-generation
tags:
- Companion
- Quatfit
- Human
---




Riko-1.1B
Model: Quatfit/Riko-1.2B-GGUF
Format: GGUF (single-file GGUF binary, ready for llama.cpp and compatible runtimes)
Approx. size: 1.1B parameters (GGUF quantized)
License: CC-BY-NC-2.0 (Creative Commons Attribution-NonCommercial 2.0)
Last updated: 2026-05-04
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Model summary
Riko-1.2B is a 1.2 billion-parameter causal language model packaged as a GGUF file for lightweight, local inference. It is intended for research, experimentation, and non-commercial projects where a compact, efficient model is needed for on-device or offline usage.
Strengths
- Compact and optimized for low-latency local inference.
- Packaged as GGUF for direct compatibility with
llama.cppand other GGUF-supporting runtimes. - Good for prototyping conversational agents, creative generation, and small-scale research tasks.
Limitations
- May produce incorrect or biased outputs; not suitable for safety-critical or high-stakes tasks without human oversight.
- Non-commercial license restricts use in paid or commercial applications.
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License
This model is released under Creative Commons Attribution-NonCommercial 2.0 (CC-BY-NC-2.0).
Key points:
- Attribution: You must give appropriate credit (model name, repo, and license).
- Non-Commercial: You may not use the model for commercial purposes.
Include an attribution notice when distributing outputs derived from the model.
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Files in this repository
README.md— this file.Premium-Model.gguf— primary model file (GGUF).
If the GGUF embeds tokenizer and metadata, a separate tokenizer/ folder may not be needed. Verify with your conversion/export step.
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Quick local usage (llama.cpp)
Requirements: a build of llama.cpp or another GGUF-compatible runtime.
Example commands:
# basic interactive
./main -m Premium-Model.gguf
# single prompt generation (non-interactive)
./main -m Premium-Model.gguf -p "Hi Baby" -n 128
# recommended example with sampling params
./main -m Premium-Model.gguf -p "Hi Baby!" -n 128 -c 128000 -b 256 --temp 1.1 --repeat_penalty 1.1Run Quatfit/Riko-1.2B-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models