Makatia/TinyLlama_TinyLlama-1.1B-Chat-v1.0_onnx
By Makatia · ↓ 0 · ♥ 2 · Updated 2025-07-14
What's in this repo
This page lists the files in Makatia/TinyLlama_TinyLlama-1.1B-Chat-v1.0_onnx.
- No .onnx files in this repository
- 3 files, including 1 .md, 1 .7z
- Last updated 2025-07-14
ONNX files
This repository has no .onnx files. See the full file list on the right for other formats.
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
license: mit library_name: onnxruntime tags:
- tinyllama
- onnx
- quantized
- edge-llm
- raspberry-pi
- local-inference model_creator: TinyLlama language: en
TinyLlama-1.1B-Chat-v1.0 (ONNX): Local LLM Model Repository
This repository contains quantized ONNX exports of TinyLlama/TinyLlama-1.1B-Chat-v1.0, optimized for efficient local inference on resource-constrained devices such as Raspberry Pi and other ARM-based single-board computers.
🟦 ONNX Model
Included files:
model.onnxmodel_quantized.onnxmodel.onnx.data(if sharded)- Configuration files (
config.json,tokenizer.json, etc.)
Recommended for: ONNX Runtime, Kleidi AI, and other compatible frameworks.
Quick Start
import onnxruntime as ort
session = ort.InferenceSession("model.onnx")
# ... inference code here ...
The ONNX export enables efficient inference on CPUs, NPUs, and other accelerators, making it ideal for local or edge deployments.
📋 Credits
- Base model: TinyLlama
- ONNX export: Optimum, ONNX Runtime
- Model optimization: ARM-optimized for Raspberry Pi
Maintainer: Makatia
Model info
Created: 2025-07-13
Updated: 2025-07-14
View on Hugging FaceFiles (3)
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