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meshllm/Qwen3-30B-A3B-Thinking-2507-UD-Q4_K_XL-layers

🤗 Hugging Face sourcetext-generationapache-2.03B activated18 GBGGUF✓ 51 checksumsupdated today
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curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo meshllm/Qwen3-30B-A3B-Thinking-2507-UD-Q4_K_XL-layers ./model-folder
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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"

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