Qwen3-VL-235B-A22B-Thinking-UD-Q4_K_XL
Distributed GGUF inference package for Mesh LLM
GGUF layer package for running Qwen3-VL-235B-A22B-Thinking-UD-Q4_K_XL across a local Mesh LLM cluster.
This package is derived from unsloth/Qwen3-VL-235B-A22B-Thinking-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-VL-235B-A22B-Thinking-GGUF |
| Model id | unsloth/Qwen3-VL-235B-A22B-Thinking-GGUF:UD-Q4_K_XL |
| Family | Qwen3 |
| Parameter scale | 235B-A22B |
| Quantization | UD-Q4_K_XL |
| Layer count | 94 |
| Activation width | 4096 |
| Package size | 125.5 GB |
| Source file | UD-Q4_K_XL/Qwen3-VL-235B-A22B-Thinking-UD-Q4_K_XL-00001-of-00003.gguf |
| Package repo | meshllm/Qwen3-VL-235B-A22B-Thinking-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-VL-235B-A22B-Thinking-GGUF.
Quickstart
# Run this on each machine that should contribute memory/compute.
mesh-llm serve --model "meshllm/Qwen3-VL-235B-A22B-Thinking-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-VL-235B-A22B-Thinking-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 | layer-package |
| Canonical source ref | unsloth/Qwen3-VL-235B-A22B-Thinking-GGUF@main/UD-Q4_K_XL/Qwen3-VL-235B-A22B-Thinking-UD-Q4_K_XL-00001-of-00003.gguf |
| Source revision | main |
| Source SHA-256 | 627e48055757d90b54c57f67f2836f3e838b723053f124f49e8367bc34dfac42 |
| Skippy ABI | 0.1.24 |
| Package manifest SHA-256 | 7036fed46e164619f34dbcad4f8f4c93677bde20f0eae203b268f453e1e6f2e6 |
What Is Included
| Artifact | Path | Contents | SHA-256 |
|---|---|---|---|
| Manifest | model-package.json | Package schema, source identity, checksums | 7036fed46e164619f34dbcad4f8f4c93677bde20f0eae203b268f453e1e6f2e6 |
| Metadata | shared/metadata.gguf | 0 tensors, 5.7 MB | 100c05dfcd6d297757d6b09349c371c75c8c67edcdb9160d94e3d6765b6344c0 |
| Embeddings | shared/embeddings.gguf | 1 tensors, 339.5 MB | de494d6668e39f8bbc05cb43b6f999a2f1b2f6f587b9c7ae9985de0a1b2d8930 |
| Output head | shared/output.gguf | 2 tensors, 492.5 MB | cb5598b1426eeb90294c9d81a27d80432bce8c0842019f542590a944a219cac4 |
| Transformer layers | layers/layer-*.gguf | 94 layer artifacts, 1128 tensors, 124.7 GB | see 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.
skippy-model-package write-package "/source/UD-Q4_K_XL/Qwen3-VL-235B-A22B-Thinking-UD-Q4_K_XL-00001-of-00003.gguf" --out-dir "/tmp/meshllm-layer-job-meshllm_Qwen3-VL-235B-A22B-Thinking-UD-Q4_K_XL-layers-192/package"
Links
- Source model: unsloth/Qwen3-VL-235B-A22B-Thinking-GGUF
- Mesh LLM website: meshllm.cloud
- Mesh LLM: github.com/Mesh-LLM/mesh-llm
- Discord: discord.gg/rs6fmc63eN
- Package catalog: meshllm/catalog
- Package format: layer-package-repos.md