GGUF layer package for running DeepSeek-R1-Q4_K_M across a local Mesh LLM cluster.
This package is derived from unsloth/DeepSeek-R1-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_K_M layer package |
Model Overview
| Property | Value |
|---|---|
| Source model | unsloth/DeepSeek-R1-GGUF |
| Model id | unsloth/DeepSeek-R1-GGUF:DeepSeek-R1-Q4_K_M |
| Family | DeepSeek |
| Parameter scale | not recorded |
| Quantization | Q4_K_M |
| Layer count | 61 |
| Activation width | 7168 |
| Package size | 377.0 GB |
| Source file | DeepSeek-R1-Q4_K_M/DeepSeek-R1-Q4_K_M-00001-of-00009.gguf |
| Package repo | meshllm/DeepSeek-R1-Q4_K_M-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/DeepSeek-R1-GGUF.
Quickstart
# Run this on each machine that should contribute memory/compute.
mesh-llm serve --model "meshllm/DeepSeek-R1-Q4_K_M-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/DeepSeek-R1-GGUF:DeepSeek-R1-Q4_K_M",
"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/DeepSeek-R1-GGUF@main/DeepSeek-R1-Q4_K_M/DeepSeek-R1-Q4_K_M-00001-of-00009.gguf |
| Source revision | main |
| Source SHA-256 | d111d9e28b4035e6781906b6451b7866737b4a4ee734baa1575c55d8aa1b4200 |
| Skippy ABI | 0.1.22 |
| Package manifest SHA-256 | f5a62c4f2f5427ac6e083d7666313832cb61a2fc5d8dacfc317b540d8ac82e9d |
What Is Included
| Artifact | Path | Contents | SHA-256 |
|---|---|---|---|
| Manifest | model-package.json | Package schema, source identity, checksums | f5a62c4f2f5427ac6e083d7666313832cb61a2fc5d8dacfc317b540d8ac82e9d |
| Metadata | shared/metadata.gguf | 0 tensors, 5.0 MB | 0e1bf01f20ef69f691126b69c633fd63977cd190bea4182a1c9f41d1537b0ad6 |
| Embeddings | shared/embeddings.gguf | 1 tensors, 502.1 MB | 951352774cabdce1e5fe940b30ca85ac8440de68afb6c6eceb451524109991f1 |
| Output head | shared/output.gguf | 2 tensors, 730.0 MB | 131fcb580fd1ba667733e39ffc806f819f54928621f40cd47405399a8b9abecb |
| Transformer layers | layers/layer-*.gguf | 61 layer artifacts, 1022 tensors, 375.8 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/DeepSeek-R1-Q4_K_M/DeepSeek-R1-Q4_K_M-00001-of-00009.gguf" --out-dir "/tmp/meshllm-layer-job-meshllm_DeepSeek-R1-Q4_K_M-layers-137/package"
Links
- Source model: unsloth/DeepSeek-R1-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