[!WARNING] Experimental package: artifact integrity may be validated, but runtime, split-correctness, and multimodal certification are still pending. This package is not discoverable through
meshllm/catalog@mainuntil its Hugging Face catalog PR is reviewed and merged.
GGUF layer package for running inkling-UD-Q2_K_XL across a local Mesh LLM cluster.
This package is derived from unsloth/inkling-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 | UD-Q2_K_XL layer package |
Model Overview
| Property | Value |
|---|---|
| Source model | unsloth/inkling-GGUF |
| Model id | unsloth/inkling-GGUF:UD-Q2_K_XL |
| Family | inkling |
| Parameter scale | not recorded |
| Quantization | UD-Q2_K_XL |
| Layer count | 66 |
| Activation width | 6144 |
| Package size | 296.5 GB |
| Source file | UD-Q2_K_XL/inkling-UD-Q2_K_XL-00001-of-00008.gguf |
| Package repo | meshllm/inkling-UD-Q2_K_XL-layers |
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/inkling-GGUF.
Quickstart
# Run this on each machine that should contribute memory/compute.
mesh-llm serve --model "meshllm/inkling-UD-Q2_K_XL-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/inkling-GGUF:UD-Q2_K_XL",
"messages": [{"role": "user", "content": "Write a tiny hello-world function in Rust."}],
"max_tokens": 128
}'
Package Variant
| Property | Value |
|---|---|
| Format | layer-package |
| Canonical source ref | unsloth/inkling-GGUF@d3e9ffca48751dbe8b59dab5cfa364621257c682/UD-Q2_K_XL/inkling-UD-Q2_K_XL-00001-of-00008.gguf |
| Source revision | d3e9ffca48751dbe8b59dab5cfa364621257c682 |
| Source SHA-256 | 8b153eb6a470303f227ef2ba5b515e4e53cc51be65f4395490aa6e37f377bebf |
| Skippy ABI | 0.1.30 |
| Package manifest SHA-256 | 6cda4ce683e8046818d0d51c57e00b61d2245c36ba7b21a4fb7c51ab82c039b7 |
What Is Included
| Artifact | Path | Contents | SHA-256 |
|---|---|---|---|
| Manifest | model-package.json | Package schema, source identity, checksums | 6cda4ce683e8046818d0d51c57e00b61d2245c36ba7b21a4fb7c51ab82c039b7 |
| Metadata | shared/metadata.gguf | 1 tensors, 12.4 MB | c2332ae2f8fc2a711861bae5c96720592aee75cdf7868a3bade02bc513f03bf5 |
| Embeddings | shared/embeddings.gguf | 2 tensors, 822.2 MB | 2021ca206c89e66637e4e048caea5c5b181413ce4e9b045fb6aff8db315f7a7a |
| Output head | shared/output.gguf | 3 tensors, 675.0 MB | 0ca256c69c9c311dfb5671643f9edaff62de8706453a68aa34b953aaac6f8b21 |
| Transformer layers | layers/layer-*.gguf | 66 layer artifacts, 1574 tensors, 294.9 GB | see model-package.json |
| Projector | projectors/mmproj-BF16.gguf | mmproj projector, 174.8 MB | 662c925e1df293cfba16ffd6bd53dac31d3c73160ba65dff7270d7a70f351e91 |
Validation
Generated by the Mesh LLM HF Jobs splitter from mesh-llm ref codex/inkling-q2-skippy.
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/UD-Q2_K_XL/inkling-UD-Q2_K_XL-00001-of-00008.gguf" --out-dir "/tmp/meshllm-layer-job-meshllm_inkling-UD-Q2_K_XL-layers-193/package"
Links
- Source model: unsloth/inkling-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