inkling-UD-Q4_K_XL

Distributed GGUF inference package for Mesh LLM

GGUF layer package for running inkling-UD-Q4_K_XL across a local Mesh LLM cluster.

This package is derived from unsloth/inkling-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-GGUF
Model id	`unsloth/inkling-GGUF:UD-Q4_K_XL`
Family	inkling
Parameter scale	not recorded
Quantization	`UD-Q4_K_XL`
Layer count	66
Activation width	not recorded
Package size	0 B
Source file	`UD-Q4_K_XL/inkling-UD-Q4_K_XL-00001-of-00014.gguf`
Package repo	meshllm/inkling-UD-Q4_K_XL-layers
License	`apache-2.0` from unsloth/inkling-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-GGUF.

Quickstart

# Run this on each machine that should contribute memory/compute.
mesh-llm serve --model "meshllm/inkling-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-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/inkling-GGUF@d3e9ffca48751dbe8b59dab5cfa364621257c682/UD-Q4_K_XL/inkling-UD-Q4_K_XL-00001-of-00014.gguf`
Source revision	`d3e9ffca48751dbe8b59dab5cfa364621257c682`
Source SHA-256	`357731bfbcfc9b8f4cc19d6d344ee02795785f06cb33f2084b7783eebcdd86f8`
Skippy ABI	`not recorded`
Package manifest SHA-256	`8952edf197e4a3130cef7d64bcb2da26b038139d88dc5a6a914b106b435979fd`

What Is Included

Artifact	Path	Contents	SHA-256
Manifest	`model-package.json`	Package schema, source identity, checksums	`8952edf197e4a3130cef7d64bcb2da26b038139d88dc5a6a914b106b435979fd`

Validation

Generated by the Mesh LLM HF Jobs splitter from mesh-llm ref 3744f53d301866c7fe59b9638a7260476a2c77b6. 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/inkling-UD-Q4_K_XL-00001-of-00014.gguf" --out-dir "/tmp/meshllm-layer-job-meshllm_inkling-UD-Q4_K_XL-layers-1/package"