Model: mradermacher/ETLCH-instruct_based_on_llama3.2-1b_taiwan_traditional_chinese-GGUF
Author: mradermacher
Library: transformers
Tags: transformers, gguf, taiwan, local_knowledge, chinese, traditional_chinese, llama3.2-1b-instruct, for_fine-tuning_by_anyone, etl, 1B-efficient, deployable-on-single-GPU, text-parsing, instruction-following, RAG, en, dataset:yrc696/republic_of_china_judgements_4_continue_pretrain, base_model:yrc696/ETLCH-instruct_based_on_llama3.2-1b_taiwan_traditional_chinese, base_model:quantized:yrc696/ETLCH-instruct_based_on_llama3.2-1b_taiwan_traditional_chinese, license:afl-3.0, endpoints_compatible, region:us, conversational
Base models (quantized): id: yrc696/ETLCH-instruct_based_on_llama3.2-1b_taiwan_traditional_chinese
Card metadata: base_model: yrc696/ETLCH-instruct_based_on_llama3.2-1b_taiwan_traditional_chinese
datasets: yrc696/republic_of_china_judgements_4_continue_pretrain
language: en
library_name: transformers
license: afl-3.0
mradermacher: readme_rev: 1
quantized_by: mradermacher
tags: taiwan, local_knowledge, chinese, traditional_chinese, llama3.2-1b-instruct, for_fine-tuning_by_anyone, etl, 1B-efficient, deployable-on-single-GPU, text-parsing, instruction-following, RAG
Likes: 0 | All-time downloads: 589
Created: 2025-09-25 11:45:40