What are the hardware requirements for Xing4.0 29B A4B?

Xing4.0 29B A4B requires approximately 62.9 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Xing4.0 29B A4B and how large is it?

Xing4.0 29B A4B is developed by XingChen-AGI, a model with 29b 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 Xing4.0 29B A4B?

Xing4.0 29B A4B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Xing4.0 29B A4B by XingChen-AGI — VRAM 62.9GB, 256K context

Name: Xing4.0 29B A4B
Author: XingChen-AGI

Xing4.0 29B A4B is an open-source language model by XingChen-AGI. Features: 29b LLM, VRAM: 62.9GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.44.

Arxiv:2507.18013 Arxiv:2512.24157 Conversational Custom code Region:us Safetensors Sharded Tensorflow Xing4 0

Model Card on HF 🤗: https://huggingface.co/XingChen-AGI/Xing4.0-29B-A4B

Xing4.0 29B A4B Parameters and Internals

LLM Name	Xing4.0 29B A4B
Repository 🤗	https://huggingface.co/XingChen-AGI/Xing4.0-29B-A4B
Model Size	29b
Required VRAM	62.9 GB
Updated	2026-09-19
Maintainer	XingChen-AGI
Model Type	xing4_0
Model Files	1.2 GB: 1-of-41 0.3 GB: 2-of-41 1.5 GB: 3-of-41 1.5 GB: 4-of-41 1.5 GB: 5-of-41 1.5 GB: 6-of-41 1.5 GB: 7-of-41 1.5 GB: 8-of-41 1.5 GB: 9-of-41 1.5 GB: 10-of-41 1.5 GB: 11-of-41 1.5 GB: 12-of-41 1.5 GB: 13-of-41 1.5 GB: 14-of-41 1.5 GB: 15-of-41 1.5 GB: 16-of-41 1.5 GB: 17-of-41 1.5 GB: 18-of-41 1.5 GB: 19-of-41 1.5 GB: 20-of-41 1.5 GB: 21-of-41 1.5 GB: 22-of-41 1.5 GB: 23-of-41 1.5 GB: 24-of-41 1.5 GB: 25-of-41 1.5 GB: 26-of-41 1.5 GB: 27-of-41 1.5 GB: 28-of-41 1.5 GB: 29-of-41 1.5 GB: 30-of-41 1.5 GB: 31-of-41 1.5 GB: 32-of-41 1.5 GB: 33-of-41 1.5 GB: 34-of-41 1.5 GB: 35-of-41 1.5 GB: 36-of-41 1.5 GB: 37-of-41 1.5 GB: 38-of-41 1.5 GB: 39-of-41 1.5 GB: 40-of-41 4.4 GB: 41-of-41
Model Architecture	Xing4_0ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.14.1
Vocabulary Size	131072

Rank the Xing4.0 29B A4B capabilities

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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

Quantized Models of the Xing4.0 29B A4B

Model	Likes	Downloads	VRAM
Xing4.0 29B A4B GGUF	257	14361	0 GB
Xing4.0 29B A4B 8bit MLX	2	333	31 GB
Xing4.0 29B A4B OptiQ 4bit	2	178	20 GB

Best Alternatives to Xing4.0 29B A4B

Best Alternatives	Context / RAM	Downloads	Likes
Xing4.0 29B Intent	256K / 62.9 GB	3046	165
Xing4.0 29B A4B FP8	256K / 31.4 GB	185	95
...ui Xing4.0 29B A4B Abliterated	256K / 62.9 GB	410	23
Xing4.0 29B A4B W8a8	256K / 31.8 GB	206	5
Xing4.0 29B A4B Finance SFT	256K / 62.9 GB	280	3
Xing4.0 29B A4B OR SFT	256K / 62.9 GB	219	2
Xing4.0 29B A4B 8bit MLX	256K / 31.4 GB	333	2
Xing4.0 29B A4B OptiQ 4bit	256K / 20.6 GB	178	2
Xing4.0 29B A4B GGUF	256K / 0.1 GB	14361	257
Xing4.0 29B A4B GGUF	256K / 0.1 GB	1085	5