gemma-4-E4B-it-Q4_K_M

Distributed GGUF inference package for Mesh LLM

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 locally	Pool multiple machines	OpenAI-compatible	Package variant
Private inference on your hardware	Split layers across peers	Serve `/v1/chat/completions` locally	`Q4_K_M` layer package

Model Overview

Property	Value
Source model	unsloth/gemma-4-E4B-it-GGUF
Model id	`unsloth/gemma-4-E4B-it-GGUF:Q4_K_M`
Family	Gemma
Parameter scale	4B
Quantization	`Q4_K_M`
Layer count	42
Activation width	not recorded
Package size	0 B
Source file	`gemma-4-E4B-it-Q4_K_M.gguf`
Package repo	meshllm/gemma-4-E4B-it-Q4_K_M-layers
License	`apache-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

# Run this on each machine that should contribute memory/compute.
mesh-llm serve --model "meshllm/gemma-4-E4B-it-Q4_K_M-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/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

Property	Value
Format	`gguf`
Canonical source ref	`unsloth/gemma-4-E4B-it-GGUF@bfc15c382204943c3a8fff0c750b94ae2364d7a3/gemma-4-E4B-it-Q4_K_M.gguf`
Source revision	`bfc15c382204943c3a8fff0c750b94ae2364d7a3`
Source SHA-256	`85a896a047553e842f25297ee5b031d64ff30147d9c4af17b1e4b394cd1fab87`
Skippy ABI	`not recorded`
Package manifest SHA-256	`a1a2cd1063fbadd73f01e966f5392e9d662bc769ca1e0286ebca0ca6dd2f88cc`

What Is Included

Artifact	Path	Contents	SHA-256
Manifest	`model-package.json`	Package schema, source identity, checksums	`a1a2cd1063fbadd73f01e966f5392e9d662bc769ca1e0286ebca0ca6dd2f88cc`

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.

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"