GGUF layer package for running Mistral-Medium-3.5-128B-UD-Q4_K_XL across a local Mesh LLM cluster.
This package is derived from unsloth/Mistral-Medium-3.5-128B-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/Mistral-Medium-3.5-128B-GGUF |
| Model id | unsloth/Mistral-Medium-3.5-128B-GGUF:UD-Q4_K_XL |
| Family | Mistral |
| Parameter scale | 128B |
| Quantization | UD-Q4_K_XL |
| Layer count | 88 |
| Activation width | 12288 |
| Package size | 71.1 GB |
| Source file | UD-Q4_K_XL/Mistral-Medium-3.5-128B-UD-Q4_K_XL-00001-of-00003.gguf |
| Package repo | meshllm/Mistral-Medium-3.5-128B-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/Mistral-Medium-3.5-128B-GGUF.
Quickstart
# Run this on each machine that should contribute memory/compute.
mesh-llm serve --model "meshllm/Mistral-Medium-3.5-128B-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/Mistral-Medium-3.5-128B-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/Mistral-Medium-3.5-128B-GGUF@main/UD-Q4_K_XL/Mistral-Medium-3.5-128B-UD-Q4_K_XL-00001-of-00003.gguf |
| Source revision | main |
| Source SHA-256 | 94bf2dd90d80f41b1dfb1f94b569d11fd78fd302a79ae9fdf828f8082d1dfeaa |
| Skippy ABI | 0.1.24 |
| Package manifest SHA-256 | 14320d8993aa62f50b364e1ae61a10332e3cebdae99b09fa5986710fafd5040d |
What Is Included
| Artifact | Path | Contents | SHA-256 |
|---|---|---|---|
| Manifest | model-package.json | Package schema, source identity, checksums | 14320d8993aa62f50b364e1ae61a10332e3cebdae99b09fa5986710fafd5040d |
| Metadata | shared/metadata.gguf | 0 tensors, 7.5 MB | aad74ff473b81be8fbc43163a4961348638161beabfa9fd879517b8eae0325b5 |
| Embeddings | shared/embeddings.gguf | 1 tensors, 871.5 MB | a8873cc52ec52077639e8d95415a4b7f23aecd88cc1412a7324f040e8e331f64 |
| Output head | shared/output.gguf | 2 tensors, 1.2 GB | 14b1aa44fa596213920702a8c2d903097bc1d1a7dfed05f2025da2c4a8957a97 |
| Transformer layers | layers/layer-*.gguf | 88 layer artifacts, 792 tensors, 69.1 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/Mistral-Medium-3.5-128B-UD-Q4_K_XL-00001-of-00003.gguf" --out-dir "/tmp/meshllm-layer-job-meshllm_Mistral-Medium-3.5-128B-UD-Q4_K_XL-layers-199/package"
Links
- Source model: unsloth/Mistral-Medium-3.5-128B-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