# MiaAI-Lab/GLM-5.3-Flash-EXL3-2x-DGX-Sparks-TensorFold

> Scripts to serve GLM-5.3-Flash on two NVIDIA DGX Sparks via TensorFold with an OpenAI-compatible API, 1M-token context, and image/video input.

- Magnitude: 5.5 out of 10 — Early signal
- Stars: 91 total · +98 stars today, ≈ 131 by evening
- Star trust: star growth looks organic
- Category: Language models · Language: Shell · License: Apache-2.0 · Created: 2026-09-30 · Last push: 2026-10-01
- GitHub: https://github.com/MiaAI-Lab/GLM-5.3-Flash-EXL3-2x-DGX-Sparks-TensorFold · Homepage: https://x.com/MiaAI_lab · Page: https://gitnova.dev/en/r/MiaAI-Lab/GLM-5.3-Flash-EXL3-2x-DGX-Sparks-TensorFold

## Useful for

- Deploy a local OpenAI-compatible GLM-5.3-Flash endpoint on two DGX Sparks
- Serve requests with up to 1M-token context and image input via the API
- Benchmark prefill and decode throughput on your own DGX Spark pair

## Why it’s here

- 98 stars so far today, about 131 expected by the end of the day.
- The repository is 1 day old and already has 91 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #161.
- About 71 forks a day — people are taking the code.
- Recent forks include notable developers: @d3vilbug (302 followers).

## 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: 9
- Issues and pull requests: 10
- Watchers: 3
- Average over the last week: 66 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 12

## Stars per day, last 5 days (oldest → newest, today is partial)

2026-09-27 … 2026-10-01: 0, 0, 0, 0, 98

## Spotted in now

- Top new repositories this week: #161

## Similar by description

1. **jayleaton/glm53-tensorfold-spark** — 2.9 · Early signal · Language models · Python · +5 stars today, ≈ 10 by evening
   Experimental setup for serving the 4-bit GLM-5.3-Flash checkpoint across two NVIDIA DGX Sparks via the TensorFold engine, with an OpenAI-compatible API and a set of patches for faster decoding.
   Full card: https://gitnova.dev/en/r/jayleaton/glm53-tensorfold-spark.md
2. **MiaAI-Lab/Qwen3.8-Flash-Next-Single-DGX-Spark-TensorFold** — 3.6 · Early signal · Language models · Shell · +6 stars today, ≈ 11 by evening
   Scripts to serve Qwen3.8 Flash Next on a single NVIDIA DGX Spark via an OpenAI-compatible API, with image and video input and a 262,144-token context.
   Full card: https://gitnova.dev/en/r/MiaAI-Lab/Qwen3.8-Flash-Next-Single-DGX-Spark-TensorFold.md
3. **architectds/collabosm** — 0.6 · Steady · Language models · Python · +1 star today, ≈ 2 by evening
   A set of scripts to run Qwen3.8-Flash-Next (125B MoE) on a single Colab A100-80GB High-RAM with an OpenAI-compatible endpoint and measured throughput.
   Full card: https://gitnova.dev/en/r/architectds/collabosm.md
4. **mmastrac/djev-spark** — 0.0 · Steady · Language models · HTML · +0 stars today, ≈ 0 by evening
   Container recipe for running DiffusionGemma 26B-A4B (NVFP4) on a DGX Spark with vLLM and a structured-decision server exposing Jev's /v1/systemone API.
   Full card: https://gitnova.dev/en/r/mmastrac/djev-spark.md

---

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 2026-10-01 15:54 UTC, updated every 30 minutes.