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domperidom/granite-4.2-3b-rkllm-rk3576
granite-4.2-3b-rkllm-rk3576 is a machine learning model from domperidom. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for rkllm. The card lists the license as apache-2.0.
- Target platform: Rockchip RK3576 - Format: RKLLM - Weight quantization: W4A16, group size 32 - Context size: 16384
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From the Hugging Face model README
Tested successfully on Rockchip RK3576 with:
The original Granite 4.2 tokenizer and chat template are retained.
Thinking mode uses:
<|im_start|>assistant
<think>
Non-thinking mode uses:
<|im_start|>assistant
<think></think>
Unofficial community conversion of ibm-granite/granite-4.2-3b for Rockchip RK3576 using RKLLM Toolkit 1.3.0.
Although the upstream Granite 4.2 model supports a substantially larger context window, this RKLLM build was compiled with a maximum context of 16384 tokens.
Quantization may reduce model quality compared with the original BF16 model.
This build is specific to the Rockchip RK3576 RKLLM runtime and is not a GGUF or standard Transformers checkpoint. It runs only on Rockchip RK3576 with two cores.
This repository contains a quantized RKLLM conversion of IBM Granite 4.2 3B:
https://huggingface.co/ibm-granite/granite-4.2-3b
The original model and tokenizer are provided by IBM under the Apache License 2.0.
The tokenizer files in this repository are copied from the original IBM Granite 4.2 3B repository without modification.
This repository contains an unofficial converted and quantized derivative. It is not an official IBM release.