Qwen3.8-Flash-Next-UD-IQ4_XS-layers

meshllm/Qwen3.8-Flash-Next-UD-IQ4_XS-layers

Qwen3.8-Flash-Next-UD-IQ4_XS-layers is a image-text-to-text model from meshllm. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for mesh-llm. The card lists the license as other.

<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

Downloads · 30 days

1.6K

16% of all-time downloads

All-time downloads

10K

Public

Repo size

190 GB

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Public

Hugging Face

Repo makeup

Click a slice to open those files.

.gguf190 GB · 100%

At a glance

Task: Image-Text-to-Text
Library: mesh-llm
License: other
Access: Public
Created: Sep 8, 2026
Updated: Sep 25, 2026
SHA: 0442807b

Try a prompt

Base models

unsloth/Qwen3.8-Flash-Next-GGUF

Model card

From the Hugging Face model README

<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-IQ4_XS</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>

GGUF layer package for running Qwen3.8-Flash-Next-UD-IQ4_XS across a local Mesh LLM cluster.

This package is derived from 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	`Q4_XS` layer package

Model Overview

Property	Value
Source model	unsloth/Qwen3.8-Flash-Next-GGUF
Model id	`unsloth/Qwen3.8-Flash-Next-GGUF:UD-IQ4_XS`
Family	Qwen3
Parameter scale	not recorded
Quantization	`Q4_XS`
Layer count	48
Activation width	not recorded
Package size	0 B
Source file	`UD-IQ4_XS/Qwen3.8-Flash-Next-UD-IQ4_XS-00001-of-00003.gguf`
Package repo	meshllm/Qwen3.8-Flash-Next-UD-IQ4_XS-layers
License	`other` from 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.

Quickstart

# Run this on each machine that should contribute memory/compute.
mesh-llm serve --model "meshllm/Qwen3.8-Flash-Next-UD-IQ4_XS-layers" --split

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

# 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-IQ4_XS",
    "messages": [{"role": "user", "content": "Write a tiny hello-world function in Rust."}],
    "max_tokens": 128
  }'

Package Variant

Property	Value
Format	`gguf`
Canonical source ref	`unsloth/Qwen3.8-Flash-Next-GGUF@38bb39ee97821de2c9009abb7e93950eec396e66/UD-IQ4_XS/Qwen3.8-Flash-Next-UD-IQ4_XS-00001-of-00003.gguf`
Source revision	`38bb39ee97821de2c9009abb7e93950eec396e66`
Source SHA-256	`5ce89370720f8bf90890f439361282104c1aa1482d4013bb9a50923e758e71a4`
Skippy ABI	`not recorded`
Package manifest SHA-256	`3799204fc1128d53d3dfdb9464010c282fc13a16872bda912a09e0a2c60f3917`

What Is Included

Artifact	Path	Contents	SHA-256
Manifest	`model-package.json`	Package schema, source identity, checksums	`3799204fc1128d53d3dfdb9464010c282fc13a16872bda912a09e0a2c60f3917`

Validation

Generated by the Mesh LLM HF Jobs splitter from mesh-llm ref 293d61d8fb8be914e5244f754ceb1d67f59f177b. Each artifact is checksummed as it is written, uploaded to this repository, and removed from the job workspace before the next artifact is produced.

skippy-model-package write-package "/hf-cache/UD-IQ4_XS/Qwen3.8-Flash-Next-UD-IQ4_XS-00001-of-00003.gguf" --out-dir "/tmp/meshllm-layer-job-meshllm_Qwen3.8-Flash-Next-UD-IQ4_XS-layers-14/package"