# XingChen-AGI/Xing4.0-29B-A4B

> Xing4.0-29B-A4B is China Telecom's open-source MoE language model with 29B total and 4B active parameters, trained on Ascend NPU and supporting 256K context. It targets coding, agent and reasoning tasks.

- Magnitude: 0.6 out of 10 — Steady
- Stars: 91 total · +0 stars on 2026-09-29 (UTC), ≈ 1 by evening
- Star trust: star growth looks organic
- Category: Language models · License: Apache-2.0 · Created: 2026-09-17 · Last push: 2026-09-24
- GitHub: https://github.com/XingChen-AGI/Xing4.0-29B-A4B · Page: https://gitnova.dev/en/r/XingChen-AGI/Xing4.0-29B-A4B

## Useful for

- Run local inference with transformers for coding or reasoning prompts.
- Deploy the model via vLLM, SGLang or KTransformers for agent workloads.
- Fine-tune on domain data with LLaMA-Factory or MindFormers.

## Why it’s here

- The repository is 12 days old and already has 91 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 7
- Issues and pull requests: 8
- Watchers: 2
- Average over the last week: 1 per day
- Usual pace: too little history (under two weeks)

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-10-04 … 2026-11-02: None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None

## Magnitude by day, last 12 days

09-18 3.9, 09-19 2.4, 09-20 1.2, 09-21 1.4, 09-22 0.6, 09-23 0.4, 09-24 0.5, 09-25 0.1, 09-26 0.1, 09-27 0.9, 09-28 0.8, 09-29 0.7

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-09-29 08:20 UTC, updated every 30 minutes.