# 0xSero/dsv41-flash-offload

> Serves DeepSeek-V4.1-Flash (EXL3 3.0 bpw) on a single 24 GB RTX 3090 by offloading experts to DDR4 and NVMe, exposing an OpenAI-compatible API. Aimed at running a large MoE model locally on consumer hardware.

- Magnitude: 1.6 out of 10 — Steady
- Stars: 73 total · +6 stars measured 2026-10-05, 18:11–19:59 UTC, ≈ 7 by evening
- Star trust: star growth looks organic
- Category: Language models · Language: Python · License: MIT · Created: 2026-10-02 · Last push: 2026-10-05
- GitHub: https://github.com/0xSero/dsv41-flash-offload · Page: https://gitnova.dev/en/r/0xSero/dsv41-flash-offload

## Useful for

- Run a local OpenAI-compatible DeepSeek-V4.1-Flash server on a single RTX 3090
- Process long contexts up to 262k tokens for retrieval and coding tasks
- Build the pinned-digest Docker image for reproducible deployment

## Why it’s here

- Star-counter measurements on 2026-10-05 (UTC), 18:11–19:59: 67 → 73 stars (+6). This is the change over that interval.
- Estimated end-of-day forecast: about +7 stars, using observed gains and the previous day.
- The repository is 3 days old and already has 73 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #188.
- Recent forks include notable developers: @0xSojalSec (1,006 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: 0
- Watchers: 0
- Average over the last week: 10 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 3

## Stars per day, last 9 days (oldest → newest, today is partial)

2026-09-27 … 2026-10-05: 0, 0, 0, 0, 0, 19, 8, 5, 6

## Spotted in now

- Top new repositories this week: #188

## More in this category

1. **Niko1221/Strata** — 8.2 · Breakout · Language models · C++ · +2,567 stars measured 2026-10-05, 00:06–19:51 UTC, ≈ 3,038 by evening
   A C++ local inference engine that runs the 125B MoE model Qwen3.8-Flash-Next on a regular PC with one NVIDIA GPU (12-24 GB) and 64 GB RAM, exposing an OpenAI/Anthropic-compatible API on localhost.
   Full card: https://gitnova.dev/en/r/Niko1221/Strata.md
2. **StayLameBro/backburner** — 6.5 · Early signal · Language models · Python · +229 stars measured 2026-10-05, 00:06–19:51 UTC, ≈ 271 by evening
   A llama.cpp fork that plugs an iPhone into a Mac over USB-C and splits the work: the Mac runs layers 1-40, the iPhone runs 41-64 on its GPU, speeding up prefill and allowing context up to 196k-229k tokens. Aimed at people running…
   Full card: https://gitnova.dev/en/r/StayLameBro/backburner.md
3. **antirez/ds4** — 5.6 · Breakout · Language models · C · +120 stars measured 2026-10-05, 00:06–19:51 UTC, ≈ 146 by evening
   DwarfStar (ds4) is a native C inference engine for running a few specific large LLMs (DeepSeek V4 Flash/PRO, GLM 5.x, Qwen3.8 Flash Next) on Metal, CUDA and ROCm. Targets consumer hardware like MacBooks, DGX Spark and Strix Halo, with SSD…
   Full card: https://gitnova.dev/en/r/antirez/ds4.md
4. **empero-org/brewery-ai** — 5.2 · Early signal · Language models · Python · +64 stars measured 2026-10-05, 07:56–19:52 UTC, ≈ 76 by evening
   A console agent that walks users through the full fine-tuning cycle for language and image models via a chat with an AI guide: from picking a base model and data to training on a GPU and publishing to Hugging Face.
   Full card: https://gitnova.dev/en/r/empero-org/brewery-ai.md
5. **Edge0-AI/Edge0** — 4.7 · Breakout · Language models · Python · +207 stars measured 2026-10-05, 00:07–19:52 UTC, ≈ 245 by evening
   An open-source streaming MoE inference framework: expert weights are offloaded from SSD on demand while a trained prerouter predicts routing ahead of time. Runs on Apple Silicon via MLX and ships with two ready-to-run model tiers (35B and…
   Full card: https://gitnova.dev/en/r/Edge0-AI/Edge0.md

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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 2026-10-05 20:15 UTC, updated every 30 minutes.