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ilya-chak/gemma-4-12B-it-qat-GGUF-UD-Q4_K_XL-layers

sourceHugging Faceupdated 4mo agoView on Hugging Face
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Model Card

Still in progress, trying to get working between my 3 laptops, with no luck so far.

<div align="center"> <a href="https://www.meshllm.cloud"> <img src="https://github.com/Mesh-LLM/mesh-llm/raw/main/docs/mesh-llm-logo.svg" alt="Mesh LLM" width="220"> </a>

<h1>gemma-4-31B-it-qat-UD-Q4KXL</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 gemma-4-31B-it-qat-UD-Q4_K_XL across a local Mesh LLM cluster.

This package is derived from unsloth/gemma-4-12B-it-qat-GGUF and keeps the original GGUF distribution split into per-layer artifacts for distributed inference.

Highlights

Run locallyPool multiple machinesOpenAI-compatiblePackage variant
Private inference on your hardwareSplit layers across peersServe /v1/chat/completions locallyUD-Q4_K_XL layer package

Model Overview

PropertyValue
Source modelunsloth/gemma-4-12B-it-qat-GGUF
Model idunsloth/gemma-4-12B-it-qat-GGUF:UD-Q4_K_XL
FamilyGemma
Parameter scale12B
QuantizationUD-Q4_K_XL
Layer count48
Activation width3840
Package size6.3 GB
Source filegemma-4-31B-it-qat-UD-Q4_K_XL.gguf
Package repomeshllm/gemma-4-31B-it-qat-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/gemma-4-12B-it-qat-GGUF.

Quickstart

bash
# Run this on each machine that should contribute memory/compute.
mesh-llm serve --model "meshllm/gemma-4-31B-it-qat-UD-Q4_K_XL-layers" --split
bash
# Check the mesh and discover the OpenAI-compatible model name.
curl -s http://localhost:3131/api/status
curl -s http://localhost:3131/v1/models
bash
# Send an OpenAI-compatible chat request.
curl -s http://localhost:3131/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "unsloth/gemma-4-12B-it-qat-GGUF:UD-Q4_K_XL",
    "messages": [{"role": "user", "content": "Write a tiny hello-world function in Rust."}],
    "max_tokens": 128
  }'

Package Variant

PropertyValue
Formatlayer-package
Canonical source refunsloth/gemma-4-12B-it-qat-GGUF@main/gemma-4-31B-it-qat-UD-Q4_K_XL.gguf
Source revisionmain
Source SHA-256cc9ff072e0a8203429ed854e6662c17a6c2bc1e5dca5b475dd4736caaacbc165
Skippy ABI0.1.24

What Is Included

ArtifactPathContentsSHA-256
Manifestmodel-package.jsonPackage schema, source identity, checksumse6ba5ec739fd602ebcfd275968e344a6dc574e087d08852250f8b86e700a8a69
Metadatashared/metadata.gguf1 tensors, 15.1 MB6e220c19850b60ff25cf3b0e1dd5119dd4bc7af4cd4daab648c44f5f23920fd3
Embeddingsshared/embeddings.gguf2 tensors, 771.1 MB4a78029414b01d0951eb20e0735bebd6c5bbb80489ab542fbba10c51c9e25bd6
Output headshared/output.gguf2 tensors, 15.1 MB5c182e6351e1354a35cd37287c9f0f20c6f312ec462f7d5ba1d41cf88d7f3173
Transformer layerslayers/layer-*.gguf60 layer artifacts, 890 tensors, 16.2 GBsee 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.

bash
skippy-model-package write-package "/source/gemma-4-31B-it-qat-UD-Q4_K_XL.gguf" --out-dir "/tmp/meshllm-layer-job-meshllm_gemma-4-31B-it-qat-UD-Q4_K_XL-layers-192/package"

Links