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LucianoM39/Qwen3.6-35B-A3B-UD-Q4_K_XL-Mesh-LLM

sourceHugging Faceupdated 2mo 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>Qwen3.6-35B-A3B-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 Qwen3.6-35B-A3B-UD-Q4_K_XL across a local Mesh LLM cluster.

This package is derived from unsloth/Qwen3.6-35B-A3B-MTP-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/Qwen3.6-35B-A3B-MTP-GGUF
Model idunsloth/Qwen3.6-35B-A3B-MTP-GGUF:UD-Q4_K_XL
FamilyQwen3
Parameter scale35B-A3B
QuantizationUD-Q4_K_XL
Layer count41
Activation width2048
Package size21.7 GB
Source fileQwen3.6-35B-A3B-UD-Q4_K_XL.gguf
Package repomeshllm/Qwen3.6-35B-A3B-UD-Q4_K_XL-layers

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/Qwen3.6-35B-A3B-MTP-GGUF.

Quickstart

bash
# Run this on each machine that should contribute memory/compute.
mesh-llm serve --model "meshllm/Qwen3.6-35B-A3B-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/Qwen3.6-35B-A3B-MTP-GGUF:UD-Q4_K_XL",
    "messages": [{"role": "user", "content": "Write a tiny hello-world function in Rust."}],
    "max_tokens": 128
  }'

Package Variant

PropertyValue
Formatlayer-package
Canonical source refunsloth/Qwen3.6-35B-A3B-MTP-GGUF@main/Qwen3.6-35B-A3B-UD-Q4_K_XL.gguf
Source revisionmain
Source SHA-25655983c5a75a1ab969824077b3bb3de4146e82a9234072b48ad4e8f92ad3fe9f1
Skippy ABI0.1.24
Package manifest SHA-256d5219b949201675eae13867d16196dc517789cf2bc046850fea1b269a0a3b412

What Is Included

ArtifactPathContentsSHA-256
Manifestmodel-package.jsonPackage schema, source identity, checksumsd5219b949201675eae13867d16196dc517789cf2bc046850fea1b269a0a3b412
Metadatashared/metadata.gguf0 tensors, 10.4 MB781e5b129a647d7df246923f768f2953e9fa66e752e0a99fc4912c0a12ef7aab
Embeddingsshared/embeddings.gguf1 tensors, 525.7 MB0bb08a257ea28c7fd14bc2669d5164e149fae121cf40c20d7e5b2f84e8a3b718
Output headshared/output.gguf2 tensors, 525.8 MBab69129c3ed7f570de4295dd006c61676195f8ba42a97733244f2ae05fef5f35
Transformer layerslayers/layer-*.gguf41 layer artifacts, 750 tensors, 20.7 GBsee model-package.json

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/Qwen3.6-35B-A3B-UD-Q4_K_XL.gguf" --out-dir "/tmp/meshllm-layer-job-meshllm_Qwen3.6-35B-A3B-UD-Q4_K_XL-layers-194/package"

Links