What are the hardware requirements for Xiangqi R1 0.5B?

Xiangqi R1 0.5B requires approximately 1 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Xiangqi R1 0.5B and how large is it?

Xiangqi R1 0.5B is developed by hoduyquocbao, a model with 0.5b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Xiangqi R1 0.5B?

Xiangqi R1 0.5B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Xiangqi R1 0.5B by hoduyquocbao — VRAM 1GB, 32K context

Name: Xiangqi R1 0.5B
Author: hoduyquocbao

Xiangqi R1 0.5B is an open-source language model by hoduyquocbao. Features: 0.5b LLM, VRAM: 1GB, Context: 32K, License: apache-2.0.

Base model:finetune:hoduyquocb... Base model:hoduyquocbao/xiangq... Conversational En Endpoints compatible Qwen2 Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/hoduyquocbao/xiangqi-r1-0.5b

Xiangqi R1 0.5B Parameters and Internals

LLM Name	Xiangqi R1 0.5B
Repository 🤗	https://huggingface.co/hoduyquocbao/xiangqi-r1-0.5b
Base Model(s)	hoduyquocbao/xiangqi-r1-0.5b hoduyquocbao/xiangqi-r1-0.5b
Model Size	0.5b
Required VRAM	1 GB
Updated	2026-08-09
Maintainer	hoduyquocbao
Model Type	qwen2
Model Files	1.0 GB
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

Rank the Xiangqi R1 0.5B capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Xiangqi R1 0.5B

Best Alternatives	Context / RAM	Downloads	Likes
Reader Lm 0.5B	250K / 1 GB	188	150
Qwen2 0.5B	128K / 1 GB	1216780	169
Qwen2 0.5B Finetune Exp 1	128K / 1 GB	15	0
...0.5B FT EnhancedMUSREnsembleV3	128K / 1 GB	32	1
....5B FT V4 MUSR ENSEMBLE Mathis	128K / 2 GB	30	1
...0.5B FT MUSR ENSEMBLE V2Mathis	128K / 1 GB	25	0
...PRYMMAL 0.5B FT V4 MUSR Mathis	128K / 1 GB	62	1
Qwen2 0.5B Stf Imdb	128K / 1 GB	7	0
ECE PRYMMAL 0.5B FT V3 MUSR	128K / 2 GB	17	0
ECE PRYMMAL 0.5B FT V4 MUSR	128K / 2 GB	10	0

Note: green Score (e.g. "73.2") means that the model is better than hoduyquocbao/xiangqi-r1-0.5b.