GGUF layer package for running Kimi-K3-UD-Q4_K_XL across a local Mesh LLM cluster.
This package is derived from unsloth/Kimi-K3-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/Kimi-K3-GGUF |
| Model id | unsloth/Kimi-K3-GGUF:UD-Q4_K_XL |
| Family | Kimi |
| Parameter scale | not recorded |
| Quantization | UD-Q4_K_XL |
| Layer count | 93 |
| Activation width | not recorded |
| Package size | 0 B |
| Source file | UD-Q4_K_XL/Kimi-K3-UD-Q4_K_XL-00001-of-00032.gguf |
| Package repo | meshllm/Kimi-K3-UD-Q4_K_XL-layers |
| License | other from unsloth/Kimi-K3-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/Kimi-K3-GGUF.
Quickstart
# Run this on each machine that should contribute memory/compute.
mesh-llm serve --model "meshllm/Kimi-K3-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/Kimi-K3-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 | gguf |
| Canonical source ref | unsloth/Kimi-K3-GGUF@a0836360ce58dfec088d966a97f2ddc8a606279b/UD-Q4_K_XL/Kimi-K3-UD-Q4_K_XL-00001-of-00032.gguf |
| Source revision | a0836360ce58dfec088d966a97f2ddc8a606279b |
| Source SHA-256 | 6a4946f4e60ebf19a3a8b0ac9f0fe7cd7f8c62936644b88c262c2fc01814ad87 |
| Skippy ABI | not recorded |
| Package manifest SHA-256 | 240b16cc6ddb7bb8c8073ca609b74fe93af14e8407cc9bdf2bc4ef675161b849 |
What Is Included
| Artifact | Path | Contents | SHA-256 |
|---|---|---|---|
| Manifest | model-package.json | Package schema, source identity, checksums | 240b16cc6ddb7bb8c8073ca609b74fe93af14e8407cc9bdf2bc4ef675161b849 |
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-Q4_K_XL/Kimi-K3-UD-Q4_K_XL-00001-of-00032.gguf" --out-dir "/tmp/meshllm-layer-job-meshllm_Kimi-K3-UD-Q4_K_XL-layers-1"
Links
- Source model: unsloth/Kimi-K3-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