CoolFace
Modelpublic

meshllm/Llama-3.2-1B-Instruct-Q4_K_M-layers

sourceHugging Facellama3.2updated 15d agoView on Hugging Face
0likes2.1kdownloads
Model Card

<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>Llama-3.2-1B-Instruct-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 Llama-3.2-1B-Instruct-Q4_K_M across a local Mesh LLM cluster.

This package is derived from unsloth/Llama-3.2-1B-Instruct-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/Llama-3.2-1B-Instruct-GGUF
Model idunsloth/Llama-3.2-1B-Instruct-GGUF:Q4_K_M
FamilyLlama
Parameter scale1B
QuantizationQ4_K_M
Layer count16
Activation widthnot recorded
Package size0 B
Source fileLlama-3.2-1B-Instruct-Q4_K_M.gguf
Package repomeshllm/Llama-3.2-1B-Instruct-Q4_K_M-layers
Licensellama3.2 from unsloth/Llama-3.2-1B-Instruct-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/Llama-3.2-1B-Instruct-GGUF.

Quickstart

bash
# Run this on each machine that should contribute memory/compute.
mesh-llm serve --model "meshllm/Llama-3.2-1B-Instruct-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/Llama-3.2-1B-Instruct-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/Llama-3.2-1B-Instruct-GGUF@b69aef112e9f895e6f98d7ae0949f72ff09aa401/Llama-3.2-1B-Instruct-Q4_K_M.gguf
Source revisionb69aef112e9f895e6f98d7ae0949f72ff09aa401
Source SHA-2563f5a22426976ab26cfe84dba63c1d08391717abb1af893e10f1b2968d862dcc1
Skippy ABInot recorded
Package manifest SHA-256109a56e5a4b47c9e8d8cf3374655ae32e6f6ef56062c9db74ec937faedb0f3e0

What Is Included

ArtifactPathContentsSHA-256
Manifestmodel-package.jsonPackage schema, source identity, checksums109a56e5a4b47c9e8d8cf3374655ae32e6f6ef56062c9db74ec937faedb0f3e0

Validation

Generated by the Mesh LLM HF Jobs splitter from mesh-llm ref 293d61d8fb8be914e5244f754ceb1d67f59f177b. 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/Llama-3.2-1B-Instruct-Q4_K_M.gguf" --out-dir "/tmp/meshllm-layer-job-meshllm_Llama-3.2-1B-Instruct-Q4_K_M-layers-12/package"

Links