---
library_name: mesh-llm
license: "other"
base_model:
- "unsloth/Qwen3.8-Flash-Next-GGUF"
pipeline_tag: "image-text-to-text"
tags:
- gguf
- mesh-llm
- layer-package
- skippy
- distributed-inference
- local-inference
- openai-compatible
- experimental
---

<div align="center">
  <a href="https://www.meshllm.cloud">
    <img src="https://meshllm.cloud/assets/images/jelly-logo-wordmark.png" alt="Mesh LLM" width="220">
  </a>

  <h1>Qwen3.8-Flash-Next-UD-IQ1_S</h1>

  <p>
    <strong>Distributed GGUF inference package for Mesh LLM</strong>
  </p>

  <p>
    <a href="https://www.meshllm.cloud"><img alt="Website" src="https://img.shields.io/badge/Website-meshllm.cloud-111111?style=for-the-badge"></a>
    <a href="https://github.com/Mesh-LLM/mesh-llm"><img alt="GitHub" src="https://img.shields.io/badge/GitHub-Mesh--LLM-24292f?style=for-the-badge&logo=github"></a>
    <a href="https://discord.gg/rs6fmc63eN"><img alt="Discord" src="https://img.shields.io/badge/Discord-Join-5865F2?style=for-the-badge&logo=discord&logoColor=white"></a>
  </p>
</div>

> [!WARNING]
> **Experimental package:** artifact integrity may be validated, but runtime, split-correctness, and multimodal certification are still pending. This package is not discoverable through `meshllm/catalog@main` until its Hugging Face catalog PR is reviewed and merged.

GGUF layer package for running **Qwen3.8-Flash-Next-UD-IQ1_S** across a local Mesh LLM cluster.

This package is derived from [unsloth/Qwen3.8-Flash-Next-GGUF](https://huggingface.co/unsloth/Qwen3.8-Flash-Next-GGUF) and keeps the original GGUF distribution split into per-layer artifacts for distributed inference.

## Highlights

| Run locally | Pool multiple machines | OpenAI-compatible | Package variant |
|---|---|---|---|
| Private inference on your hardware | Split layers across peers | Serve `/v1/chat/completions` locally | `Q1_S` layer package |

## Model Overview

| Property | Value |
|---|---|
| **Source model** | [unsloth/Qwen3.8-Flash-Next-GGUF](https://huggingface.co/unsloth/Qwen3.8-Flash-Next-GGUF) |
| **Model id** | `unsloth/Qwen3.8-Flash-Next-GGUF:UD-IQ1_S` |
| **Family** | Qwen3 |
| **Parameter scale** | not recorded |
| **Quantization** | `Q1_S` |
| **Layer count** | 48 |
| **Activation width** | not recorded |
| **Package size** | 70.1 GB |
| **Source file** | `UD-IQ1_S/Qwen3.8-Flash-Next-UD-IQ1_S-00001-of-00003.gguf` |
| **Package repo** | [meshllm/Qwen3.8-Flash-Next-UD-IQ1_S-layers](https://huggingface.co/meshllm/Qwen3.8-Flash-Next-UD-IQ1_S-layers) |
| **License** | `other` from [unsloth/Qwen3.8-Flash-Next-GGUF](https://huggingface.co/unsloth/Qwen3.8-Flash-Next-GGUF) |

## Recommended Use

- Local and private inference with Mesh LLM.
- Multi-machine serving when the full GGUF is too large for one host.
- OpenAI-compatible chat/completions workflows through Mesh LLM's local API.

For upstream architecture details, chat template guidance, sampling recommendations, license terms, and benchmark notes, see the source model card: [unsloth/Qwen3.8-Flash-Next-GGUF](https://huggingface.co/unsloth/Qwen3.8-Flash-Next-GGUF).

## Quickstart

```bash
# Run this on each machine that should contribute memory/compute.
mesh-llm serve --model "meshllm/Qwen3.8-Flash-Next-UD-IQ1_S-layers" --split
```

```bash
# Check the mesh and discover the OpenAI-compatible model name.
curl -s http://localhost:3131/api/status
curl -s http://localhost:3131/v1/models
```

```bash
# Send an OpenAI-compatible chat request.
curl -s http://localhost:3131/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "unsloth/Qwen3.8-Flash-Next-GGUF:UD-IQ1_S",
    "messages": [{"role": "user", "content": "Write a tiny hello-world function in Rust."}],
    "max_tokens": 128
  }'
```

## Package Variant

| Property | Value |
|---|---|
| **Format** | `layer-package` |
| **Canonical source ref** | `unsloth/Qwen3.8-Flash-Next-GGUF@38bb39ee97821de2c9009abb7e93950eec396e66/UD-IQ1_S/Qwen3.8-Flash-Next-UD-IQ1_S-00001-of-00003.gguf` |
| **Source revision** | `38bb39ee97821de2c9009abb7e93950eec396e66` |
| **Source SHA-256** | `88a1420825a9304063e882ada29d438263617f51ac8923d438d927496693bafd` |
| **Skippy ABI** | `0.1.48` |
| **Package manifest SHA-256** | `0c2ea144eb70d052376ef089d31db50c0a0312bcb37cbf5c1c96e8f544d86a1d` |

## What Is Included

| Artifact | Path | Contents | SHA-256 |
|---|---|---|---|
| Manifest | `model-package.json` | Package schema, source identity, checksums | `0c2ea144eb70d052376ef089d31db50c0a0312bcb37cbf5c1c96e8f544d86a1d` |
| Metadata | `shared/metadata.gguf` | 3 tensors, 17.1 MB | `67962a3bfe9b04327f35acab41dd85c0d612b8fe99ea4b5dd8232a3e2fe67ba4` |
| Embeddings | `shared/embeddings.gguf` | 4 tensors, 358.1 MB | `62e72c6fceed1c75a45784d0e3e86b1fc1bb21a6edadd3c35c7f86fd538cd868` |
| Output head | `shared/output.gguf` | 4 tensors, 358.1 MB | `4d902623ba5d79899777b687a894a7ac22eaecd77f28c37eb6555fd2c3943f83` |
| Transformer layers | `layers/layer-*.gguf` | 48 layer artifacts, 1363 tensors, 67.7 GB | `see model-package.json` |
| Projector | `projectors/mmproj-BF16.gguf` | mmproj projector, 865.5 MB | `2e788f8c511d8093c7b43cb87b2fd7e14228340318057f8fb20c86df2efe2355` |
| Projector | `projectors/mmproj-F16.gguf` | mmproj projector, 862.1 MB | `1f7b7f0b984cf065c604360c29c8098362ed61b290db0ff12c6f360bb1a8a980` |

## Validation

Generated by the Mesh LLM HF Jobs splitter from `mesh-llm` ref `main`.
Each artifact is checksummed as it is written, uploaded to this repository, and removed from the job workspace before the next artifact is produced.

```bash
skippy-model-package write-package "/source/UD-IQ1_S/Qwen3.8-Flash-Next-UD-IQ1_S-00001-of-00003.gguf" --out-dir "/tmp/meshllm-layer-job-meshllm_Qwen3.8-Flash-Next-UD-IQ1_S-layers-1/package"
```

## Links

- Source model: [unsloth/Qwen3.8-Flash-Next-GGUF](https://huggingface.co/unsloth/Qwen3.8-Flash-Next-GGUF)
- Mesh LLM website: [meshllm.cloud](https://www.meshllm.cloud)
- Mesh LLM: [github.com/Mesh-LLM/mesh-llm](https://github.com/Mesh-LLM/mesh-llm)
- Discord: [discord.gg/rs6fmc63eN](https://discord.gg/rs6fmc63eN)
- Package catalog: [meshllm/catalog](https://huggingface.co/datasets/meshllm/catalog)
- Package format: [layer-package-repos.md](https://github.com/Mesh-LLM/mesh-llm/blob/main/docs/specs/layer-package-repos.md)