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meshllm/Qwen3.8-27B-UD-Q4_K_XL-layers

sourceHugging Faceapache-2.0updated 1d agoView on Hugging Face
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Model Card

<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>Qwen3.8-27B-UD-Q4KXL</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 Qwen3.8-27B-UD-Q4_K_XL across a local Mesh LLM cluster.

This package is derived from unsloth/Qwen3.8-27B-GGUF and keeps the original GGUF distribution split into per-layer artifacts for distributed inference.

Highlights

Run locallyPool multiple machinesOpenAI-compatiblePackage variant
Private inference on your hardwareSplit layers across peersServe /v1/chat/completions locallyUD-Q4_K_XL layer package

Model Overview

PropertyValue
Source modelunsloth/Qwen3.8-27B-GGUF
Model idunsloth/Qwen3.8-27B-GGUF:UD-Q4_K_XL
FamilyQwen3
Parameter scale27B
QuantizationUD-Q4_K_XL
Layer count65
Activation widthnot recorded
Package size0 B
Source fileQwen3.8-27B-UD-Q4_K_XL.gguf
Package repomeshllm/Qwen3.8-27B-UD-Q4_K_XL-layers
Licenseapache-2.0 from unsloth/Qwen3.8-27B-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/Qwen3.8-27B-GGUF.

Quickstart

bash
# Run this on each machine that should contribute memory/compute.
mesh-llm serve --model "meshllm/Qwen3.8-27B-UD-Q4_K_XL-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/Qwen3.8-27B-GGUF:UD-Q4_K_XL",
    "messages": [{"role": "user", "content": "Write a tiny hello-world function in Rust."}],
    "max_tokens": 128
  }'

Package Variant

PropertyValue
Formatgguf
Canonical source refunsloth/Qwen3.8-27B-GGUF@4ca720788d1e01f1bff70c033e0d0028fd02e502/Qwen3.8-27B-UD-Q4_K_XL.gguf
Source revision4ca720788d1e01f1bff70c033e0d0028fd02e502
Source SHA-2563f227079003add2511437e5b1e94812e363385225bf6a9b47b0054a72bc8b01e
Skippy ABInot recorded
Package manifest SHA-2563bcd12893e7b5ec3eb1c87571e261875c9e334036d72fc53815106379f250ec1

What Is Included

ArtifactPathContentsSHA-256
Manifestmodel-package.jsonPackage schema, source identity, checksums3bcd12893e7b5ec3eb1c87571e261875c9e334036d72fc53815106379f250ec1

Validation

Generated by the Mesh LLM HF Jobs splitter from mesh-llm ref 29bdf713d769a45cd299f4a4f7cea5333d700efd. 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 "/hf-cache/Qwen3.8-27B-UD-Q4_K_XL.gguf" --out-dir "/tmp/meshllm-layer-job-meshllm_Qwen3.8-27B-UD-Q4_K_XL-layers-1/package"

Links