Kimi-K2.7-Code-UD-Q4_K_XL-layers

shaffhausenquant/Kimi-K2.7-Code-UD-Q4_K_XL-layers

Kimi-K2.7-Code-UD-Q4_K_XL-layers is a text generation model from shaffhausenquant. Use it when you need the model to write or continue text. It is set up for mesh-llm.

<div align="center" <a href="https://www.meshllm.cloud" <img src="https://meshllm.cloud/assets/images/jelly-logo-wordmark.png" alt="Mesh LLM" width="220" </a

Downloads · 30 days

651

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All-time downloads

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Repo size

584 GB

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Public

Hugging Face

Repo makeup

Click a slice to open those files.

.gguf584 GB · 100%

At a glance

Task: Text Generation
Library: mesh-llm
Access: Public
Created: Aug 11, 2026
Updated: Aug 11, 2026
SHA: b645ebbf

Try a prompt

Base models

unsloth/Kimi-K2.7-Code-GGUF

Model card

From the Hugging Face model README

<div align="center"> <a href="https://www.meshllm.cloud"> <img src="https://meshllm.cloud/assets/images/jelly-logo-wordmark.png" alt="Mesh LLM" width="220"> </a> <h1>Kimi-K2.7-Code-UD-Q4_K_XL</h1> <p> <strong>Distributed GGUF inference package for Mesh LLM</strong> </p> <p> <a href="https://www.meshllm.cloud"><img alt="Website" src="https://img.shields.io/badge/Website-meshllm.cloud-111111?style=for-the-badge"></a> <a href="https://github.com/Mesh-LLM/mesh-llm"><img alt="GitHub" src="https://img.shields.io/badge/GitHub-Mesh--LLM-24292f?style=for-the-badge&logo=github"></a> <a href="https://discord.gg/rs6fmc63eN"><img alt="Discord" src="https://img.shields.io/badge/Discord-Join-5865F2?style=for-the-badge&logo=discord&logoColor=white"></a> </p> </div>

GGUF layer package for running Kimi-K2.7-Code-UD-Q4_K_XL across a local Mesh LLM cluster.

This package is derived from unsloth/Kimi-K2.7-Code-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-K2.7-Code-GGUF
Model id	`unsloth/Kimi-K2.7-Code-GGUF:UD-Q4_K_XL`
Family	Kimi
Parameter scale	not recorded
Quantization	`UD-Q4_K_XL`
Layer count	61
Activation width	7168
Package size	544.0 GB
Source file	`UD-Q4_K_XL/Kimi-K2.7-Code-UD-Q4_K_XL-00001-of-00014.gguf`
Package repo	meshllm/Kimi-K2.7-Code-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/Kimi-K2.7-Code-GGUF.

Quickstart

# Run this on each machine that should contribute memory/compute.
mesh-llm serve --model "meshllm/Kimi-K2.7-Code-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-K2.7-Code-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/Kimi-K2.7-Code-GGUF@main/UD-Q4_K_XL/Kimi-K2.7-Code-UD-Q4_K_XL-00001-of-00014.gguf`
Source revision	`main`
Source SHA-256	`65f0aca336f876902323a90e2aff32cac76d071b2cdd818c6a8d78be8fc2c680`
Skippy ABI	`0.1.26`
Package manifest SHA-256	`f091c5b171e113fbaf54c7a77264b62e2940887c9ce436b0c3f72c9d981cf39f`

What Is Included

Artifact	Path	Contents	SHA-256
Manifest	`model-package.json`	Package schema, source identity, checksums	`f091c5b171e113fbaf54c7a77264b62e2940887c9ce436b0c3f72c9d981cf39f`
Metadata	`shared/metadata.gguf`	0 tensors, 6.6 MB	`18cf1a16577311975d58524344203f54b2edb61e086581699f0c2a2c658147e0`
Embeddings	`shared/embeddings.gguf`	1 tensors, 1.2 GB	`66368df5cf3f85a7a14fddafe1817a4c0bae08b204f9e7ee4171c6379a9272fb`
Output head	`shared/output.gguf`	2 tensors, 1.2 GB	`88119cba4f946a2ad3cc15e62a2bc304cd1a302b53f1ebf15561eaa92fb8fc55`
Transformer layers	`layers/layer-*.gguf`	61 layer artifacts, 1093 tensors, 541.7 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/Kimi-K2.7-Code-UD-Q4_K_XL-00001-of-00014.gguf" --out-dir "/tmp/meshllm-layer-job-meshllm_Kimi-K2.7-Code-UD-Q4_K_XL-layers-192/package"