Qwen3-30B-A3B-Thinking-2507-UD-Q4_K_XL

Distributed GGUF inference package for Mesh LLM

GGUF layer package for running Qwen3-30B-A3B-Thinking-2507-UD-Q4_K_XL across a local Mesh LLM cluster.

This package is derived from unsloth/Qwen3-30B-A3B-Thinking-2507-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	`UD-Q4_K_XL` layer package

Model Overview

Property	Value
Source model	unsloth/Qwen3-30B-A3B-Thinking-2507-GGUF
Model id	`unsloth/Qwen3-30B-A3B-Thinking-2507-GGUF:UD-Q4_K_XL`
Family	Qwen3
Parameter scale	30B-A3B
Quantization	`UD-Q4_K_XL`
Layer count	48
Activation width	not recorded
Package size	0 B
Source file	`Qwen3-30B-A3B-Thinking-2507-UD-Q4_K_XL.gguf`
Package repo	meshllm/Qwen3-30B-A3B-Thinking-2507-UD-Q4_K_XL-layers
License	`apache-2.0` from unsloth/Qwen3-30B-A3B-Thinking-2507-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/Qwen3-30B-A3B-Thinking-2507-GGUF.

Quickstart

# Run this on each machine that should contribute memory/compute.
mesh-llm serve --model "meshllm/Qwen3-30B-A3B-Thinking-2507-UD-Q4_K_XL-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/Qwen3-30B-A3B-Thinking-2507-GGUF:UD-Q4_K_XL",
    "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/Qwen3-30B-A3B-Thinking-2507-GGUF@a9b37aaac12b2bd0098783a443429543dd76a14d/Qwen3-30B-A3B-Thinking-2507-UD-Q4_K_XL.gguf`
Source revision	`a9b37aaac12b2bd0098783a443429543dd76a14d`
Source SHA-256	`51a6e1bdf41bd26af07a4cfb45d2ed7eea3fe866c2019bb08d9ebdfc4826199b`
Skippy ABI	`not recorded`
Package manifest SHA-256	`be4fe22e570a98cb9b902dd5a7a96f2255745831bf4ad0ef34beeadf62faa8b3`

What Is Included

Artifact	Path	Contents	SHA-256
Manifest	`model-package.json`	Package schema, source identity, checksums	`be4fe22e570a98cb9b902dd5a7a96f2255745831bf4ad0ef34beeadf62faa8b3`

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.

skippy-model-package write-package "/hf-cache/Qwen3-30B-A3B-Thinking-2507-UD-Q4_K_XL.gguf" --out-dir "/tmp/meshllm-layer-job-meshllm_Qwen3-30B-A3B-Thinking-2507-UD-Q4_K_XL-layers-1/package"