GGUF layer package for running Qwen3.8-2.4T-A95B-UD-IQ4_XS across a local Mesh LLM cluster.
This package is derived from unsloth/Qwen3.8-2.4T-A95B-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 | Q4_XS layer package |
Model Overview
| Property | Value |
|---|---|
| Source model | unsloth/Qwen3.8-2.4T-A95B-GGUF |
| Model id | unsloth/Qwen3.8-2.4T-A95B-GGUF:UD-IQ4_XS |
| Family | Qwen3 |
| Parameter scale | 95B |
| Quantization | Q4_XS |
| Layer count | 93 |
| Activation width | not recorded |
| Package size | 0 B |
| Source file | UD-IQ4_XS/Qwen3.8-2.4T-A95B-UD-IQ4_XS-00001-of-00029.gguf |
| Package repo | meshllm/Qwen3.8-2.4T-A95B-UD-IQ4_XS-layers |
| License | other from unsloth/Qwen3.8-2.4T-A95B-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/Qwen3.8-2.4T-A95B-GGUF.
Quickstart
# Run this on each machine that should contribute memory/compute.
mesh-llm serve --model "meshllm/Qwen3.8-2.4T-A95B-UD-IQ4_XS-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/Qwen3.8-2.4T-A95B-GGUF:UD-IQ4_XS",
"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/Qwen3.8-2.4T-A95B-GGUF@567d3e6ac26c5474b18311e619c04350fb9a5556/UD-IQ4_XS/Qwen3.8-2.4T-A95B-UD-IQ4_XS-00001-of-00029.gguf |
| Source revision | 567d3e6ac26c5474b18311e619c04350fb9a5556 |
| Source SHA-256 | 4b43a08dc65b82dcc5a0e79cd6ea90d6efbb48a467075b847d5f8e7ea4b92fce |
| Skippy ABI | not recorded |
| Package manifest SHA-256 | cad2c71715d2963e266eb5b4fd56b7f3b26eb77fcdc732248c347e3bfab443d8 |
What Is Included
| Artifact | Path | Contents | SHA-256 |
|---|---|---|---|
| Manifest | model-package.json | Package schema, source identity, checksums | cad2c71715d2963e266eb5b4fd56b7f3b26eb77fcdc732248c347e3bfab443d8 |
Validation
Generated by the Mesh LLM HF Jobs splitter from mesh-llm ref f932c4d1dc12b3e3a670d5f470cedd5cdcc5db39.
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/UD-IQ4_XS/Qwen3.8-2.4T-A95B-UD-IQ4_XS-00001-of-00029.gguf" --out-dir "/tmp/meshllm-layer-job-meshllm_Qwen3.8-2.4T-A95B-UD-IQ4_XS-layers-1/package"
Links
- Source model: unsloth/Qwen3.8-2.4T-A95B-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