Image-Text-to-Text
GGUF
mesh-llm
layer-package
skippy
distributed-inference
local-inference
openai-compatible
experimental
imatrix
conversational
Instructions to use meshllm/inkling-UD-Q2_K_XL-layers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use meshllm/inkling-UD-Q2_K_XL-layers with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf meshllm/inkling-UD-Q2_K_XL-layers:BF16 # Run inference directly in the terminal: llama cli -hf meshllm/inkling-UD-Q2_K_XL-layers:BF16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf meshllm/inkling-UD-Q2_K_XL-layers:BF16 # Run inference directly in the terminal: llama cli -hf meshllm/inkling-UD-Q2_K_XL-layers:BF16
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf meshllm/inkling-UD-Q2_K_XL-layers:BF16 # Run inference directly in the terminal: ./llama-cli -hf meshllm/inkling-UD-Q2_K_XL-layers:BF16
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf meshllm/inkling-UD-Q2_K_XL-layers:BF16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf meshllm/inkling-UD-Q2_K_XL-layers:BF16
Use Docker
docker model run hf.co/meshllm/inkling-UD-Q2_K_XL-layers:BF16
- LM Studio
- Jan
- vLLM
How to use meshllm/inkling-UD-Q2_K_XL-layers with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "meshllm/inkling-UD-Q2_K_XL-layers" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "meshllm/inkling-UD-Q2_K_XL-layers", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker
docker model run hf.co/meshllm/inkling-UD-Q2_K_XL-layers:BF16
- Ollama
How to use meshllm/inkling-UD-Q2_K_XL-layers with Ollama:
ollama run hf.co/meshllm/inkling-UD-Q2_K_XL-layers:BF16
- Unsloth Desktop
- Pi
How to use meshllm/inkling-UD-Q2_K_XL-layers with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf meshllm/inkling-UD-Q2_K_XL-layers:BF16
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "meshllm/inkling-UD-Q2_K_XL-layers:BF16" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use meshllm/inkling-UD-Q2_K_XL-layers with Docker Model Runner:
docker model run hf.co/meshllm/inkling-UD-Q2_K_XL-layers:BF16
- Lemonade
How to use meshllm/inkling-UD-Q2_K_XL-layers with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull meshllm/inkling-UD-Q2_K_XL-layers:BF16
Run and chat with the model
lemonade run user.inkling-UD-Q2_K_XL-layers-BF16
List all available models
lemonade list
- Hermes Agent
How to use meshllm/inkling-UD-Q2_K_XL-layers with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf meshllm/inkling-UD-Q2_K_XL-layers:BF16
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default meshllm/inkling-UD-Q2_K_XL-layers:BF16
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use meshllm/inkling-UD-Q2_K_XL-layers with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf meshllm/inkling-UD-Q2_K_XL-layers:BF16
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "meshllm/inkling-UD-Q2_K_XL-layers:BF16" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
Upload README.md with huggingface_hub
Browse files
README.md
ADDED
|
@@ -0,0 +1,133 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: mesh-llm
|
| 3 |
+
base_model:
|
| 4 |
+
- "unsloth/inkling-GGUF"
|
| 5 |
+
pipeline_tag: "image-text-to-text"
|
| 6 |
+
tags:
|
| 7 |
+
- gguf
|
| 8 |
+
- mesh-llm
|
| 9 |
+
- layer-package
|
| 10 |
+
- skippy
|
| 11 |
+
- distributed-inference
|
| 12 |
+
- local-inference
|
| 13 |
+
- openai-compatible
|
| 14 |
+
- experimental
|
| 15 |
+
---
|
| 16 |
+
|
| 17 |
+
<div align="center">
|
| 18 |
+
<a href="https://www.meshllm.cloud">
|
| 19 |
+
<img src="https://meshllm.cloud/assets/images/jelly-logo-wordmark.png" alt="Mesh LLM" width="220">
|
| 20 |
+
</a>
|
| 21 |
+
|
| 22 |
+
<h1>inkling-UD-Q2_K_XL</h1>
|
| 23 |
+
|
| 24 |
+
<p>
|
| 25 |
+
<strong>Distributed GGUF inference package for Mesh LLM</strong>
|
| 26 |
+
</p>
|
| 27 |
+
|
| 28 |
+
<p>
|
| 29 |
+
<a href="https://www.meshllm.cloud"><img alt="Website" src="https://img.shields.io/badge/Website-meshllm.cloud-111111?style=for-the-badge"></a>
|
| 30 |
+
<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>
|
| 31 |
+
<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>
|
| 32 |
+
</p>
|
| 33 |
+
</div>
|
| 34 |
+
|
| 35 |
+
> [!WARNING]
|
| 36 |
+
> **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@main` until its Hugging Face catalog PR is reviewed and merged.
|
| 37 |
+
|
| 38 |
+
GGUF layer package for running **inkling-UD-Q2_K_XL** across a local Mesh LLM cluster.
|
| 39 |
+
|
| 40 |
+
This package is derived from [unsloth/inkling-GGUF](https://huggingface.co/unsloth/inkling-GGUF) and keeps the original GGUF distribution split into per-layer artifacts for distributed inference.
|
| 41 |
+
|
| 42 |
+
## Highlights
|
| 43 |
+
|
| 44 |
+
| Run locally | Pool multiple machines | OpenAI-compatible | Package variant |
|
| 45 |
+
|---|---|---|---|
|
| 46 |
+
| Private inference on your hardware | Split layers across peers | Serve `/v1/chat/completions` locally | `UD-Q2_K_XL` layer package |
|
| 47 |
+
|
| 48 |
+
## Model Overview
|
| 49 |
+
|
| 50 |
+
| Property | Value |
|
| 51 |
+
|---|---|
|
| 52 |
+
| **Source model** | [unsloth/inkling-GGUF](https://huggingface.co/unsloth/inkling-GGUF) |
|
| 53 |
+
| **Model id** | `unsloth/inkling-GGUF:UD-Q2_K_XL` |
|
| 54 |
+
| **Family** | inkling |
|
| 55 |
+
| **Parameter scale** | not recorded |
|
| 56 |
+
| **Quantization** | `UD-Q2_K_XL` |
|
| 57 |
+
| **Layer count** | 66 |
|
| 58 |
+
| **Activation width** | 6144 |
|
| 59 |
+
| **Package size** | 296.5 GB |
|
| 60 |
+
| **Source file** | `UD-Q2_K_XL/inkling-UD-Q2_K_XL-00001-of-00008.gguf` |
|
| 61 |
+
| **Package repo** | [meshllm/inkling-UD-Q2_K_XL-layers](https://huggingface.co/meshllm/inkling-UD-Q2_K_XL-layers) |
|
| 62 |
+
|
| 63 |
+
## Recommended Use
|
| 64 |
+
|
| 65 |
+
- Local and private inference with Mesh LLM.
|
| 66 |
+
- Multi-machine serving when the full GGUF is too large for one host.
|
| 67 |
+
- OpenAI-compatible chat/completions workflows through Mesh LLM's local API.
|
| 68 |
+
|
| 69 |
+
For upstream architecture details, chat template guidance, sampling recommendations, license terms, and benchmark notes, see the source model card: [unsloth/inkling-GGUF](https://huggingface.co/unsloth/inkling-GGUF).
|
| 70 |
+
|
| 71 |
+
## Quickstart
|
| 72 |
+
|
| 73 |
+
```bash
|
| 74 |
+
# Run this on each machine that should contribute memory/compute.
|
| 75 |
+
mesh-llm serve --model "meshllm/inkling-UD-Q2_K_XL-layers" --split
|
| 76 |
+
```
|
| 77 |
+
|
| 78 |
+
```bash
|
| 79 |
+
# Check the mesh and discover the OpenAI-compatible model name.
|
| 80 |
+
curl -s http://localhost:3131/api/status
|
| 81 |
+
curl -s http://localhost:3131/v1/models
|
| 82 |
+
```
|
| 83 |
+
|
| 84 |
+
```bash
|
| 85 |
+
# Send an OpenAI-compatible chat request.
|
| 86 |
+
curl -s http://localhost:3131/v1/chat/completions \
|
| 87 |
+
-H "Content-Type: application/json" \
|
| 88 |
+
-d '{
|
| 89 |
+
"model": "unsloth/inkling-GGUF:UD-Q2_K_XL",
|
| 90 |
+
"messages": [{"role": "user", "content": "Write a tiny hello-world function in Rust."}],
|
| 91 |
+
"max_tokens": 128
|
| 92 |
+
}'
|
| 93 |
+
```
|
| 94 |
+
|
| 95 |
+
## Package Variant
|
| 96 |
+
|
| 97 |
+
| Property | Value |
|
| 98 |
+
|---|---|
|
| 99 |
+
| **Format** | `layer-package` |
|
| 100 |
+
| **Canonical source ref** | `unsloth/inkling-GGUF@d3e9ffca48751dbe8b59dab5cfa364621257c682/UD-Q2_K_XL/inkling-UD-Q2_K_XL-00001-of-00008.gguf` |
|
| 101 |
+
| **Source revision** | `d3e9ffca48751dbe8b59dab5cfa364621257c682` |
|
| 102 |
+
| **Source SHA-256** | `8b153eb6a470303f227ef2ba5b515e4e53cc51be65f4395490aa6e37f377bebf` |
|
| 103 |
+
| **Skippy ABI** | `0.1.30` |
|
| 104 |
+
| **Package manifest SHA-256** | `6cda4ce683e8046818d0d51c57e00b61d2245c36ba7b21a4fb7c51ab82c039b7` |
|
| 105 |
+
|
| 106 |
+
## What Is Included
|
| 107 |
+
|
| 108 |
+
| Artifact | Path | Contents | SHA-256 |
|
| 109 |
+
|---|---|---|---|
|
| 110 |
+
| Manifest | `model-package.json` | Package schema, source identity, checksums | `6cda4ce683e8046818d0d51c57e00b61d2245c36ba7b21a4fb7c51ab82c039b7` |
|
| 111 |
+
| Metadata | `shared/metadata.gguf` | 1 tensors, 12.4 MB | `c2332ae2f8fc2a711861bae5c96720592aee75cdf7868a3bade02bc513f03bf5` |
|
| 112 |
+
| Embeddings | `shared/embeddings.gguf` | 2 tensors, 822.2 MB | `2021ca206c89e66637e4e048caea5c5b181413ce4e9b045fb6aff8db315f7a7a` |
|
| 113 |
+
| Output head | `shared/output.gguf` | 3 tensors, 675.0 MB | `0ca256c69c9c311dfb5671643f9edaff62de8706453a68aa34b953aaac6f8b21` |
|
| 114 |
+
| Transformer layers | `layers/layer-*.gguf` | 66 layer artifacts, 1574 tensors, 294.9 GB | `see model-package.json` |
|
| 115 |
+
| Projector | `projectors/mmproj-BF16.gguf` | mmproj projector, 174.8 MB | `662c925e1df293cfba16ffd6bd53dac31d3c73160ba65dff7270d7a70f351e91` |
|
| 116 |
+
|
| 117 |
+
## Validation
|
| 118 |
+
|
| 119 |
+
Generated by the Mesh LLM HF Jobs splitter from `mesh-llm` ref `codex/inkling-q2-skippy`.
|
| 120 |
+
Each artifact is checksummed as it is written, uploaded to this repository, and removed from the job workspace before the next artifact is produced.
|
| 121 |
+
|
| 122 |
+
```bash
|
| 123 |
+
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"
|
| 124 |
+
```
|
| 125 |
+
|
| 126 |
+
## Links
|
| 127 |
+
|
| 128 |
+
- Source model: [unsloth/inkling-GGUF](https://huggingface.co/unsloth/inkling-GGUF)
|
| 129 |
+
- Mesh LLM website: [meshllm.cloud](https://www.meshllm.cloud)
|
| 130 |
+
- Mesh LLM: [github.com/Mesh-LLM/mesh-llm](https://github.com/Mesh-LLM/mesh-llm)
|
| 131 |
+
- Discord: [discord.gg/rs6fmc63eN](https://discord.gg/rs6fmc63eN)
|
| 132 |
+
- Package catalog: [meshllm/catalog](https://huggingface.co/datasets/meshllm/catalog)
|
| 133 |
+
- Package format: [layer-package-repos.md](https://github.com/Mesh-LLM/mesh-llm/blob/main/docs/specs/layer-package-repos.md)
|