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| 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 |
| 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 |
1# Run this on each machine that should contribute memory/compute.
2mesh-llm serve --model "meshllm/gemma-4-E4B-it-Q4_K_M-layers" --split1# Check the mesh and discover the OpenAI-compatible model name.
2curl -s http://localhost:3131/api/status
3curl -s http://localhost:3131/v1/models1# Send an OpenAI-compatible chat request.
2curl -s http://localhost:3131/v1/chat/completions \
3 -H "Content-Type: application/json" \
4 -d '{
5 "model": "unsloth/gemma-4-E4B-it-GGUF:Q4_K_M",
6 "messages": [{"role": "user", "content": "Write a tiny hello-world function in Rust."}],
7 "max_tokens": 128
8 }'| 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 |
| Artifact | Path | Contents | SHA-256 |
|---|---|---|---|
| Manifest | model-package.json | Package schema, source identity, checksums | a1a2cd1063fbadd73f01e966f5392e9d662bc769ca1e0286ebca0ca6dd2f88cc |
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"