# jayleaton/glm53-tensorfold-spark

> 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.

- Magnitude: 3.1 out of 10 — Early signal
- Stars: 87 total · +0 stars today, ≈ 20 by evening
- Star trust: star growth looks organic
- Category: Language models · Language: Python · License: Apache-2.0 · Created: 2026-09-28 · Last push: 2026-10-01
- GitHub: https://github.com/jayleaton/glm53-tensorfold-spark · Page: https://gitnova.dev/en/r/jayleaton/glm53-tensorfold-spark

## Useful for

- Stand up an OpenAI-compatible GLM-5.3-Flash server on a pair of DGX Sparks
- Benchmark TensorFold vs vLLM decode speed on your own prompts
- Enable tool-calling and structured-output patches via config/prod.env

## Why it’s here

- 0 stars so far today, about 20 expected by the end of the day.
- The spike has held for 3 days in a row — not a one-off blip.
- The repository is 3 days old and already has 87 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #155.

## 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: 5
- Issues and pull requests: 14
- Watchers: 1
- Average over the last week: 27 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 1

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

2026-09-27 … 2026-10-01: 0, 10, 49, 28, 0

## Spotted in now

- Top new repositories this week: #155

## Similar by description

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2. **MiaAI-Lab/Qwen3.8-Flash-Next-Single-DGX-Spark-TensorFold** — 3.8 · Early signal · Language models · Shell · +0 stars today, ≈ 17 by evening
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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 2026-10-01 03:34 UTC, updated every 30 minutes.