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meshllm/gemma-4-E4B-it-Q4_K_M-layers

sourceHugging Faceapache-2.0updated 9h agoView on Hugging Face
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Model Card

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<h1>gemma-4-E4B-it-Q4KM</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-E4B-it-Q4_K_M across a local Mesh LLM cluster.

This package is derived from unsloth/gemma-4-E4B-it-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 locallyQ4_K_M layer package

Model Overview

PropertyValue
Source modelunsloth/gemma-4-E4B-it-GGUF
Model idunsloth/gemma-4-E4B-it-GGUF:Q4_K_M
FamilyGemma
Parameter scale4B
QuantizationQ4_K_M
Layer count42
Activation widthnot recorded
Package size0 B
Source filegemma-4-E4B-it-Q4_K_M.gguf
Package repomeshllm/gemma-4-E4B-it-Q4_K_M-layers
Licenseapache-2.0 from unsloth/gemma-4-E4B-it-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/gemma-4-E4B-it-GGUF.

Quickstart

bash
# Run this on each machine that should contribute memory/compute.
mesh-llm serve --model "meshllm/gemma-4-E4B-it-Q4_K_M-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-E4B-it-GGUF:Q4_K_M",
    "messages": [{"role": "user", "content": "Write a tiny hello-world function in Rust."}],
    "max_tokens": 128
  }'

Package Variant

PropertyValue
Formatgguf
Canonical source refunsloth/gemma-4-E4B-it-GGUF@bfc15c382204943c3a8fff0c750b94ae2364d7a3/gemma-4-E4B-it-Q4_K_M.gguf
Source revisionbfc15c382204943c3a8fff0c750b94ae2364d7a3
Source SHA-25685a896a047553e842f25297ee5b031d64ff30147d9c4af17b1e4b394cd1fab87
Skippy ABInot recorded
Package manifest SHA-256a1a2cd1063fbadd73f01e966f5392e9d662bc769ca1e0286ebca0ca6dd2f88cc

What Is Included

ArtifactPathContentsSHA-256
Manifestmodel-package.jsonPackage schema, source identity, checksumsa1a2cd1063fbadd73f01e966f5392e9d662bc769ca1e0286ebca0ca6dd2f88cc

Validation

Generated by the Mesh LLM HF Jobs splitter from mesh-llm ref 2d83baaa3639d8a2f247e1d6963ccadfd9f4689c. 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 "/hf-cache/gemma-4-E4B-it-Q4_K_M.gguf" --out-dir "/tmp/meshllm-layer-job-meshllm_gemma-4-E4B-it-Q4_K_M-layers-1/package"

Links