Inkling-Small-UD-Q4_K_XL-layers

lyssquant/Inkling-Small-UD-Q4_K_XL-layers

Inkling-Small-UD-Q4_K_XL-layers is a image-text-to-text model from lyssquant. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for mesh-llm. The card lists the license as apache-2.0.

<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

695

21% of all-time downloads

All-time downloads

3.4K

Public

Repo size

164 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.gguf164 GB · 100%

At a glance

Task: Image-Text-to-Text
Library: mesh-llm
License: apache-2.0
Access: Public
Created: Aug 9, 2026
Updated: Aug 9, 2026
SHA: 2e22f64e

Try a prompt

Base models

unsloth/Inkling-Small-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>Inkling-Small-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 Inkling-Small-UD-Q4_K_XL across a local Mesh LLM cluster.

This package is derived from unsloth/Inkling-Small-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/Inkling-Small-GGUF
Model id	`unsloth/Inkling-Small-GGUF:UD-Q4_K_XL`
Family	Inkling
Parameter scale	not recorded
Quantization	`UD-Q4_K_XL`
Layer count	42
Activation width	4096
Package size	153.1 GB
Source file	`UD-Q4_K_XL/Inkling-Small-UD-Q4_K_XL-00001-of-00005.gguf`
Package repo	meshllm/Inkling-Small-UD-Q4_K_XL-layers
License	`apache-2.0` from unsloth/Inkling-Small-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/Inkling-Small-GGUF.

Quickstart

# Run this on each machine that should contribute memory/compute.
mesh-llm serve --model "meshllm/Inkling-Small-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/Inkling-Small-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/Inkling-Small-GGUF@1a19ef82883cb7b9c581b93c30ea252dabbf658d/UD-Q4_K_XL/Inkling-Small-UD-Q4_K_XL-00001-of-00005.gguf`
Source revision	`1a19ef82883cb7b9c581b93c30ea252dabbf658d`
Source SHA-256	`a51ac3f439198f2817219edd582be4b600c273be24e78cbd58ebff982d9f007e`
Skippy ABI	`0.1.35`
Package manifest SHA-256	`edae4bf5fd239d88fc2d20fb9eef31f6f7ce45ca743e1292827bc2a26e5f50c0`

What Is Included

Artifact	Path	Contents	SHA-256
Manifest	`model-package.json`	Package schema, source identity, checksums	`edae4bf5fd239d88fc2d20fb9eef31f6f7ce45ca743e1292827bc2a26e5f50c0`
Metadata	`shared/metadata.gguf`	1 tensors, 12.4 MB	`a30882bd63c7d3509acbe80f89fa3af26d2ea768a48d16aa29b39d0c31c57a65`
Embeddings	`shared/embeddings.gguf`	2 tensors, 846.7 MB	`5e25470fcee8342e220fcf4a9d580afe7b1bbcce3a6bf1173b528a7c20074a72`
Output head	`shared/output.gguf`	3 tensors, 846.7 MB	`66187e4186cab8645b1353feecdaaed350372202998a95ef5bbf860d38bd9a9d`
Transformer layers	`layers/layer-*.gguf`	42 layer artifacts, 998 tensors, 150.9 GB	`see model-package.json`
Projector	`projectors/mmproj-BF16.gguf`	mmproj projector, 132.3 MB	`05d4475a956030be87b099865d6552a541a476db8cc3e266fcfa7c5a24846248`
Projector	`projectors/mmproj-F16.gguf`	mmproj projector, 132.3 MB	`bf1e6afc9889151b3fee61119d3ee2cd224b59a1d881cdf87e33962f64aecc7e`
Projector	`projectors/mmproj-F32.gguf`	mmproj projector, 264.5 MB	`653c88aab6699d65ecd45d82303a74a467309dcb8e837e0c9e18f394f4ee3def`

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/Inkling-Small-UD-Q4_K_XL-00001-of-00005.gguf" --out-dir "/tmp/meshllm-layer-job-meshllm_Inkling-Small-UD-Q4_K_XL-layers-193/package"