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 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/Llama-3.2-1B-Instruct-GGUF |
| Model id | unsloth/Llama-3.2-1B-Instruct-GGUF:Q4_K_M |
| Family | Llama |
| Parameter scale | 1B |
| Quantization | Q4_K_M |
| Layer count | 16 |
| Activation width | not recorded |
| Package size | 0 B |
| Source file | Llama-3.2-1B-Instruct-Q4_K_M.gguf |
| Package repo | meshllm/Llama-3.2-1B-Instruct-Q4_K_M-layers |
| License | llama3.2 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
# 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
# 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/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
| Property | Value |
|---|---|
| Format | gguf |
| Canonical source ref | unsloth/Llama-3.2-1B-Instruct-GGUF@b69aef112e9f895e6f98d7ae0949f72ff09aa401/Llama-3.2-1B-Instruct-Q4_K_M.gguf |
| Source revision | b69aef112e9f895e6f98d7ae0949f72ff09aa401 |
| Source SHA-256 | 3f5a22426976ab26cfe84dba63c1d08391717abb1af893e10f1b2968d862dcc1 |
| Skippy ABI | not recorded |
| Package manifest SHA-256 | 109a56e5a4b47c9e8d8cf3374655ae32e6f6ef56062c9db74ec937faedb0f3e0 |
What Is Included
| Artifact | Path | Contents | SHA-256 |
|---|---|---|---|
| Manifest | model-package.json | Package schema, source identity, checksums | 109a56e5a4b47c9e8d8cf3374655ae32e6f6ef56062c9db74ec937faedb0f3e0 |
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.
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
- Source model: unsloth/Llama-3.2-1B-Instruct-GGUF
- Mesh LLM website: meshllm.cloud
- Mesh LLM: github.com/Mesh-LLM/mesh-llm
- Discord: discord.gg/rs6fmc63eN
- Package catalog: meshllm/catalog
- Package format: layer-package-repos.md