GGUF layer package for running MiniMax-M2.7-UD-Q4_K_XL across a local Mesh LLM cluster.
This package is derived from unsloth/MiniMax-M2.7-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/MiniMax-M2.7-GGUF |
| Model id | unsloth/MiniMax-M2.7-GGUF:UD-Q4_K_XL |
| Family | MiniMax |
| Parameter scale | not recorded |
| Quantization | UD-Q4_K_XL |
| Layer count | 62 |
| Activation width | 3072 |
| Package size | 131.6 GB |
| Source file | UD-Q4_K_XL/MiniMax-M2.7-UD-Q4_K_XL-00001-of-00004.gguf |
| Package repo | meshllm/MiniMax-M2.7-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/MiniMax-M2.7-GGUF.
Quickstart
# Run this on each machine that should contribute memory/compute.
mesh-llm serve --model "meshllm/MiniMax-M2.7-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/MiniMax-M2.7-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/MiniMax-M2.7-GGUF@main/UD-Q4_K_XL/MiniMax-M2.7-UD-Q4_K_XL-00001-of-00004.gguf |
| Source revision | main |
| Source SHA-256 | 92986e39a0c0b5f12c2c9b6a811dad59e3317caaf1b7ad5c7f0d7d12abc4a6e8 |
| Skippy ABI | 0.1.24 |
| Package manifest SHA-256 | 79cf4a0615e5dbdafe779d16b35f711580382b5e9fb213366e44cd12c62cca36 |
What Is Included
| Artifact | Path | Contents | SHA-256 |
|---|---|---|---|
| Manifest | model-package.json | Package schema, source identity, checksums | 79cf4a0615e5dbdafe779d16b35f711580382b5e9fb213366e44cd12c62cca36 |
| Metadata | shared/metadata.gguf | 0 tensors, 7.9 MB | 48b08e5c2318a0216ff171917974ad2198a440c15596717659a8f4fd61959fc0 |
| Embeddings | shared/embeddings.gguf | 1 tensors, 630.6 MB | 248cc26559607a1c48bb261dc5c040091414c1b6a6d3e6f7a84cb138f3f1f028 |
| Output head | shared/output.gguf | 2 tensors, 630.6 MB | 0b7ff0224405f71f57c6c968af856909cfdb66f7870253de276832fc2531c203 |
| Transformer layers | layers/layer-*.gguf | 62 layer artifacts, 806 tensors, 130.4 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/MiniMax-M2.7-UD-Q4_K_XL-00001-of-00004.gguf" --out-dir "/tmp/meshllm-layer-job-meshllm_MiniMax-M2.7-UD-Q4_K_XL-layers-194/package"
Links
- Source model: unsloth/MiniMax-M2.7-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