Views
No views yet

| Run locally | Pool multiple machines | OpenAI-compatible | Package variant |
|---|---|---|---|
| Private inference on your hardware | Split layers across peers | Serve /v1/chat/completions locally | UD-Q4_K_XL layer package |
| Property | Value |
|---|---|
| Source model | unsloth/Mistral-Small-3.2-24B-Instruct-2506-GGUF |
| Model id | unsloth/Mistral-Small-3.2-24B-Instruct-2506-GGUF:UD-Q4_K_XL |
| Family | Mistral |
| Parameter scale | 24B |
| Quantization | UD-Q4_K_XL |
| Layer count | 40 |
| Activation width | 5120 |
| Package size | 13.9 GB |
| Source file | Mistral-Small-3.2-24B-Instruct-2506-UD-Q4_K_XL.gguf |
| Package repo | meshllm/Mistral-Small-3.2-24B-Instruct-2506-UD-Q4_K_XL-layers |
1# Run this on each machine that should contribute memory/compute.
2mesh-llm serve --model "meshllm/Mistral-Small-3.2-24B-Instruct-2506-UD-Q4_K_XL-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/Mistral-Small-3.2-24B-Instruct-2506-GGUF:UD-Q4_K_XL",
6 "messages": [{"role": "user", "content": "Write a tiny hello-world function in Rust."}],
7 "max_tokens": 128
8 }'| Property | Value |
|---|---|
| Format | layer-package |
| Canonical source ref | unsloth/Mistral-Small-3.2-24B-Instruct-2506-GGUF@main/Mistral-Small-3.2-24B-Instruct-2506-UD-Q4_K_XL.gguf |
| Source revision | main |
| Source SHA-256 | bcf82c1d4963f91d744d202efeee0724c0987625cd97a737ea2af68b49f141cf |
| Skippy ABI | 0.1.24 |
| Package manifest SHA-256 | 9e758b55028dd29f6aee812f5406156244308a56e13aa113d8dc8d21c12c0fcb |
| Artifact | Path | Contents | SHA-256 |
|---|---|---|---|
| Manifest | model-package.json | Package schema, source identity, checksums | 9e758b55028dd29f6aee812f5406156244308a56e13aa113d8dc8d21c12c0fcb |
| Metadata | shared/metadata.gguf | 0 tensors, 7.5 MB | 0508573ddb9fb3f1de289b9f984a34cedfe89b28867262aa1dbc7272f657a7d4 |
| Embeddings | shared/embeddings.gguf | 1 tensors, 367.5 MB | 6feac14ff6fbc5d0c4f74253facb36cdfa56291026efb64ce6384d7926311f0b |
| Output head | shared/output.gguf | 2 tensors, 532.5 MB | af690315c6826a13172809571e52de338e4b1504f1256590875211917d71b05c |
| Transformer layers | layers/layer-*.gguf | 40 layer artifacts, 360 tensors, 13.0 GB | see model-package.json |
mesh-llm ref main.
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 "/source/Mistral-Small-3.2-24B-Instruct-2506-UD-Q4_K_XL.gguf" --out-dir "/tmp/meshllm-layer-job-meshllm_Mistral-Small-3.2-24B-Instruct-2506-UD-Q4_K_XL-layers-199/package"