Text Generation
GGUF
English
Māori
llama.cpp
abteex-ai-labs
aotearoa
general
local-first
lumynax
new-zealand
smollm
sovereign-ai
text
vllm
vllm-compatible
vllm-experimental
nvidia-nim
nim-compatible
nim-candidate
nvidia-nemo
nem
nvidia-nemo-pathway
nem-pathway
nem-convert-required
conversational
Instructions to use AbteeXAILab/lumynax-infused-smollm2-360m-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use AbteeXAILab/lumynax-infused-smollm2-360m-gguf with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="AbteeXAILab/lumynax-infused-smollm2-360m-gguf", filename="smollm2-360m-instruct-q8_0.gguf", )
llm.create_chat_completion( messages = [ { "role": "user", "content": "What is the capital of France?" } ] ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use AbteeXAILab/lumynax-infused-smollm2-360m-gguf with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf AbteeXAILab/lumynax-infused-smollm2-360m-gguf:Q8_0 # Run inference directly in the terminal: llama-cli -hf AbteeXAILab/lumynax-infused-smollm2-360m-gguf:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf AbteeXAILab/lumynax-infused-smollm2-360m-gguf:Q8_0 # Run inference directly in the terminal: llama-cli -hf AbteeXAILab/lumynax-infused-smollm2-360m-gguf:Q8_0
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 AbteeXAILab/lumynax-infused-smollm2-360m-gguf:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf AbteeXAILab/lumynax-infused-smollm2-360m-gguf:Q8_0
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 AbteeXAILab/lumynax-infused-smollm2-360m-gguf:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf AbteeXAILab/lumynax-infused-smollm2-360m-gguf:Q8_0
Use Docker
docker model run hf.co/AbteeXAILab/lumynax-infused-smollm2-360m-gguf:Q8_0
- LM Studio
- Jan
- vLLM
How to use AbteeXAILab/lumynax-infused-smollm2-360m-gguf with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "AbteeXAILab/lumynax-infused-smollm2-360m-gguf" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "AbteeXAILab/lumynax-infused-smollm2-360m-gguf", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/AbteeXAILab/lumynax-infused-smollm2-360m-gguf:Q8_0
- Ollama
How to use AbteeXAILab/lumynax-infused-smollm2-360m-gguf with Ollama:
ollama run hf.co/AbteeXAILab/lumynax-infused-smollm2-360m-gguf:Q8_0
- Unsloth Studio
How to use AbteeXAILab/lumynax-infused-smollm2-360m-gguf with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for AbteeXAILab/lumynax-infused-smollm2-360m-gguf to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for AbteeXAILab/lumynax-infused-smollm2-360m-gguf to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for AbteeXAILab/lumynax-infused-smollm2-360m-gguf to start chatting
- Atomic Chat new
- Docker Model Runner
How to use AbteeXAILab/lumynax-infused-smollm2-360m-gguf with Docker Model Runner:
docker model run hf.co/AbteeXAILab/lumynax-infused-smollm2-360m-gguf:Q8_0
- Lemonade
How to use AbteeXAILab/lumynax-infused-smollm2-360m-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull AbteeXAILab/lumynax-infused-smollm2-360m-gguf:Q8_0
Run and chat with the model
lemonade run user.lumynax-infused-smollm2-360m-gguf-Q8_0
List all available models
lemonade list
docs: publish professional LumynaX model card
Browse files- README.md +119 -113
- checksums.sha256 +3 -1
- docs/lumynax-release-overview.svg +50 -0
- docs/lumynax-runtime-flow.svg +31 -0
README.md
CHANGED
|
@@ -15,124 +15,96 @@ tags:
|
|
| 15 |
- abteex-ai-labs
|
| 16 |
- local-first
|
| 17 |
---
|
|
|
|
| 18 |
# LumynaX Infused SmolLM2 360M Instruct GGUF
|
| 19 |
|
| 20 |
-
|
| 21 |
-
|
| 22 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 23 |
|
| 24 |
-
|
| 25 |
|
| 26 |
-
|
| 27 |
-
- source GGUF repo: `HuggingFaceTB/SmolLM2-360M-Instruct-GGUF`
|
| 28 |
-
- packaged GGUF file: `smollm2-360m-instruct-q8_0.gguf`
|
| 29 |
-
- supported modalities: `text`
|
| 30 |
-
- quantization: `Q8_0`
|
| 31 |
-
- packaging identity: `LumynaX` from `AbteeX AI Labs`
|
| 32 |
-
- license metadata: `apache-2.0`
|
| 33 |
-
- weight claim: this release packages the referenced GGUF artifact and does not claim a private weight merge
|
| 34 |
|
| 35 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
| 36 |
|
| 37 |
```bash
|
|
|
|
|
|
|
| 38 |
pip install -r requirements.txt
|
| 39 |
python quickstart.py --interactive
|
| 40 |
-
python quickstart.py --prompt "Say hello in one short sentence."
|
| 41 |
```
|
| 42 |
|
| 43 |
-
|
| 44 |
|
| 45 |
```bash
|
| 46 |
-
|
| 47 |
```
|
| 48 |
|
| 49 |
-
|
| 50 |
-
## Ollama
|
| 51 |
|
| 52 |
```bash
|
| 53 |
-
|
| 54 |
-
powershell -NoProfile -ExecutionPolicy Bypass -File ./create_ollama_model.ps1
|
| 55 |
ollama run lumynax-infused-smollm2-360m-gguf
|
| 56 |
```
|
| 57 |
|
| 58 |
-
##
|
| 59 |
-
|
| 60 |
-
- `smollm2-360m-instruct-q8_0.gguf`: primary GGUF model artifact
|
| 61 |
-
- `quickstart.py`: local terminal runner with `llama-cpp-python` first and `llama-cli` fallback
|
| 62 |
-
- `ollama/`: Ollama Modelfile and creation script
|
| 63 |
-
- `hf_space/`: browser showcase/demo bundle
|
| 64 |
-
- `release_export_manifest.json`: package metadata and runtime defaults
|
| 65 |
-
- `checksums.sha256`: release integrity manifest
|
| 66 |
-
|
| 67 |
-
## Publisher
|
| 68 |
-
|
| 69 |
-
- organization / lab: `AbteeX AI Labs`
|
| 70 |
-
- website: `https://abteex.com`
|
| 71 |
-
- Hugging Face owner account: `AbteeXAILab`
|
| 72 |
-
- recommended model repo: `AbteeXAILab/lumynax-infused-smollm2-360m-gguf`
|
| 73 |
-
- recommended local model name: `lumynax-infused-smollm2-360m-gguf`
|
| 74 |
-
|
| 75 |
-
<!-- lumynax-public-release-block:v3 -->
|
| 76 |
-
|
| 77 |
-
## Complete LumynaX Release Card
|
| 78 |
-
|
| 79 |
-
    
|
| 80 |
-
|
| 81 |
-
This section is the expanded public-facing package card for this LumynaX release. It is designed so a downloader can understand what the package is, what files must stay together, how to run it, what runtime it targets, and what provenance or license checks matter before use.
|
| 82 |
-
|
| 83 |
-
## Release At A Glance
|
| 84 |
|
| 85 |
| Field | Value |
|
| 86 |
| --- | --- |
|
| 87 |
-
|
|
| 88 |
-
|
|
| 89 |
-
|
|
| 90 |
-
|
|
| 91 |
-
| Package state | `prebuilt_gguf_release` |
|
| 92 |
-
| Runtime backend | `llama_cpp` |
|
| 93 |
| Prompt format | `chatml` |
|
| 94 |
| Modalities | `text` |
|
| 95 |
| Primary artifact | `smollm2-360m-instruct-q8_0.gguf` |
|
| 96 |
-
|
|
|
|
|
|
|
|
| 97 |
| Upstream/base | `HuggingFaceTB/SmolLM2-360M-Instruct` |
|
|
|
|
| 98 |
| Source GGUF | `HuggingFaceTB/SmolLM2-360M-Instruct-GGUF` |
|
| 99 |
| Quantization | `Q8_0` |
|
| 100 |
| License metadata | `apache-2.0` |
|
| 101 |
-
|
|
| 102 |
-
|
| 103 |
-
## Visual Release Map
|
| 104 |
|
| 105 |
-
|
| 106 |
|
| 107 |
-
|
|
|
|
|
|
|
| 108 |
|
| 109 |
-
|
| 110 |
|
| 111 |
-
|
| 112 |
-
|
| 113 |
-
|
| 114 |
-
|
| 115 |
-
|
| 116 |
-
|
| 117 |
-
Use this for fast smoke tests, demos, packaging validation, and low-resource local runs.
|
| 118 |
-
|
| 119 |
-
## Download And Run
|
| 120 |
-
|
| 121 |
-
```bash
|
| 122 |
-
git lfs install
|
| 123 |
-
git clone https://huggingface.co/AbteeXAILab/lumynax-infused-smollm2-360m-gguf
|
| 124 |
-
cd lumynax-infused-smollm2-360m-gguf
|
| 125 |
-
pip install -r requirements.txt
|
| 126 |
-
python quickstart.py --interactive
|
| 127 |
-
```
|
| 128 |
-
|
| 129 |
-
Direct llama.cpp-style smoke prompt:
|
| 130 |
-
|
| 131 |
-
```bash
|
| 132 |
-
python quickstart.py --prompt "Who are you? Answer as LumynaX in one sentence."
|
| 133 |
-
```
|
| 134 |
|
| 135 |
-
##
|
| 136 |
|
| 137 |
| Component | Status | Path |
|
| 138 |
| --- | --- | --- |
|
|
@@ -144,56 +116,90 @@ python quickstart.py --prompt "Who are you? Answer as LumynaX in one sentence."
|
|
| 144 |
| License | `present` | `LICENSE.txt` |
|
| 145 |
| Ollama | `present` | `ollama/Modelfile` |
|
| 146 |
| Space scaffold | `present` | `hf_space/app.py` |
|
|
|
|
|
|
|
| 147 |
|
| 148 |
## Model Artifacts
|
| 149 |
|
| 150 |
-
|
|
| 151 |
| --- | ---: |
|
| 152 |
| `smollm2-360m-instruct-q8_0.gguf` | 368.50 MB |
|
| 153 |
|
| 154 |
-
##
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 155 |
|
| 156 |
-
|
| 157 |
-
|
| 158 |
-
|
| 159 |
-
- Hub package audits confirm that these repos include the expected runtime files; generation speed and maximum context still depend on your RAM/VRAM and backend.
|
| 160 |
|
| 161 |
-
##
|
| 162 |
|
| 163 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 164 |
|
| 165 |
-
|
| 166 |
|
| 167 |
-
|
| 168 |
|
| 169 |
-
``
|
| 170 |
-
|
| 171 |
-
|
| 172 |
-
|
| 173 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 174 |
```
|
| 175 |
|
| 176 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 177 |
|
| 178 |
-
|
| 179 |
|
| 180 |
-
|
| 181 |
-
- Respect the upstream model license and any usage restrictions attached to the original weights or GGUF conversion.
|
| 182 |
-
- For sensitive workflows, run locally where possible, keep audit logs, and add human review for high-impact decisions.
|
| 183 |
|
| 184 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
| 185 |
|
| 186 |
-
Automation
|
| 187 |
|
| 188 |
-
|
| 189 |
-
- `checksums.sha256` for file integrity.
|
| 190 |
-
- `quickstart.py` for local smoke tests.
|
| 191 |
-
- `requirements.txt` for Python dependencies.
|
| 192 |
-
- `ollama/Modelfile` where an Ollama path is included.
|
| 193 |
|
| 194 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
| 195 |
|
| 196 |
-
|
| 197 |
|
| 198 |
-
|
| 199 |
|
|
|
|
|
|
| 15 |
- abteex-ai-labs
|
| 16 |
- local-first
|
| 17 |
---
|
| 18 |
+
|
| 19 |
# LumynaX Infused SmolLM2 360M Instruct GGUF
|
| 20 |
|
| 21 |
+
<!-- lumynax-public-release-card:v4 -->
|
| 22 |
+
|
| 23 |
+
<p align="center">
|
| 24 |
+
<img src="docs/lumynax-release-overview.svg" alt="LumynaX Infused SmolLM2 360M Instruct GGUF release overview" width="100%" />
|
| 25 |
+
</p>
|
| 26 |
+
|
| 27 |
+
<p align="center">
|
| 28 |
+
<strong>LumynaX model-infusion release by AbteeX AI Labs.</strong><br/>
|
| 29 |
+
Public, non-gated package with runnable local instructions, provenance metadata, checksums, and a release manifest.
|
| 30 |
+
</p>
|
| 31 |
+
|
| 32 |
+
<p align="center">
|
| 33 |
+
<a href="#quickstart">Quickstart</a> ·
|
| 34 |
+
<a href="#model-profile">Model profile</a> ·
|
| 35 |
+
<a href="#runtime-files">Runtime files</a> ·
|
| 36 |
+
<a href="#provenance-and-license">Provenance</a> ·
|
| 37 |
+
<a href="#validation-status">Validation</a> ·
|
| 38 |
+
<a href="#limitations-and-responsible-use">Limitations</a>
|
| 39 |
+
</p>
|
| 40 |
|
| 41 |
+
     
|
| 42 |
|
| 43 |
+
## Executive Summary
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 44 |
|
| 45 |
+
This repository is a complete LumynaX release package for `AbteeXAILab/lumynax-infused-smollm2-360m-gguf`. It is intended to be downloaded as a whole repo, not as a single loose weight file: the model artifact, `quickstart.py`, `requirements.txt`, `release_export_manifest.json`, `checksums.sha256`, license notice, and optional Ollama or Space files are part of the same release contract.
|
| 46 |
+
|
| 47 |
+
LumynaX-infused means the upstream artifact is presented through the LumynaX release layer: local-first runtime scaffolding, LumynaX assistant identity, inference-chain metadata, public documentation, integrity files, and Aotearoa New Zealand-oriented workflow positioning. The release manifest records this as a LumynaX packaging and inference-chain layer around the listed upstream artifact; it does not claim a private LumynaX weight merge.
|
| 48 |
+
|
| 49 |
+
## Quickstart
|
| 50 |
|
| 51 |
```bash
|
| 52 |
+
hf download AbteeXAILab/lumynax-infused-smollm2-360m-gguf --local-dir lumynax-infused-smollm2-360m-gguf
|
| 53 |
+
cd lumynax-infused-smollm2-360m-gguf
|
| 54 |
pip install -r requirements.txt
|
| 55 |
python quickstart.py --interactive
|
|
|
|
| 56 |
```
|
| 57 |
|
| 58 |
+
Direct llama.cpp smoke command:
|
| 59 |
|
| 60 |
```bash
|
| 61 |
+
llama-cli -m "smollm2-360m-instruct-q8_0.gguf" -p "Who are you? Answer as LumynaX in two sentences." -n 160
|
| 62 |
```
|
| 63 |
|
| 64 |
+
Ollama path:
|
|
|
|
| 65 |
|
| 66 |
```bash
|
| 67 |
+
ollama create lumynax-infused-smollm2-360m-gguf -f ollama/Modelfile
|
|
|
|
| 68 |
ollama run lumynax-infused-smollm2-360m-gguf
|
| 69 |
```
|
| 70 |
|
| 71 |
+
## Model Profile
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 72 |
|
| 73 |
| Field | Value |
|
| 74 |
| --- | --- |
|
| 75 |
+
| Release | `LumynaX Infused SmolLM2 360M Instruct GGUF` |
|
| 76 |
+
| Repository | `AbteeXAILab/lumynax-infused-smollm2-360m-gguf` |
|
| 77 |
+
| Mode | `Local-first text generation package` |
|
| 78 |
+
| Runtime | `llama_cpp` |
|
|
|
|
|
|
|
| 79 |
| Prompt format | `chatml` |
|
| 80 |
| Modalities | `text` |
|
| 81 |
| Primary artifact | `smollm2-360m-instruct-q8_0.gguf` |
|
| 82 |
+
| Detected weight size | `368.50 MB` |
|
| 83 |
+
| Package state | `prebuilt_gguf_release` |
|
| 84 |
+
| Delivery | `standalone_prebuilt_gguf_release` |
|
| 85 |
| Upstream/base | `HuggingFaceTB/SmolLM2-360M-Instruct` |
|
| 86 |
+
| Upstream kind | `official_base_weights` |
|
| 87 |
| Source GGUF | `HuggingFaceTB/SmolLM2-360M-Instruct-GGUF` |
|
| 88 |
| Quantization | `Q8_0` |
|
| 89 |
| License metadata | `apache-2.0` |
|
| 90 |
+
| Refreshed | `2026-05-11` |
|
| 91 |
+
| Upstream license link | [license](https://huggingface.co/HuggingFaceTB/SmolLM2-360M-Instruct-GGUF) |
|
|
|
|
| 92 |
|
| 93 |
+
## Runtime Path
|
| 94 |
|
| 95 |
+
<p align="center">
|
| 96 |
+
<img src="docs/lumynax-runtime-flow.svg" alt="LumynaX Infused SmolLM2 360M Instruct GGUF runtime flow" width="100%" />
|
| 97 |
+
</p>
|
| 98 |
|
| 99 |
+
## Capability Profile
|
| 100 |
|
| 101 |
+
| Field | Value |
|
| 102 |
+
| --- | --- |
|
| 103 |
+
| Primary fit | Use this for fast smoke tests, demos, packaging validation, and low-resource local runs. |
|
| 104 |
+
| Operational style | Local-first package with explicit files, checksums, and reproducible quickstarts. |
|
| 105 |
+
| Identity behavior | The assistant should identify as LumynaX while remaining clear about upstream provenance. |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 106 |
|
| 107 |
+
## Runtime Files
|
| 108 |
|
| 109 |
| Component | Status | Path |
|
| 110 |
| --- | --- | --- |
|
|
|
|
| 116 |
| License | `present` | `LICENSE.txt` |
|
| 117 |
| Ollama | `present` | `ollama/Modelfile` |
|
| 118 |
| Space scaffold | `present` | `hf_space/app.py` |
|
| 119 |
+
| Overview visual | `present` | `docs/lumynax-release-overview.svg` |
|
| 120 |
+
| Runtime visual | `present` | `docs/lumynax-runtime-flow.svg` |
|
| 121 |
|
| 122 |
## Model Artifacts
|
| 123 |
|
| 124 |
+
| Artifact | Size |
|
| 125 |
| --- | ---: |
|
| 126 |
| `smollm2-360m-instruct-q8_0.gguf` | 368.50 MB |
|
| 127 |
|
| 128 |
+
## Prompting Contract
|
| 129 |
+
|
| 130 |
+
The preferred first prompt is an identity and provenance check:
|
| 131 |
+
|
| 132 |
+
```text
|
| 133 |
+
Who are you? What files do I need to keep together to run this package locally?
|
| 134 |
+
```
|
| 135 |
+
|
| 136 |
+
Expected behavior: the assistant should identify as LumynaX, explain that this is a LumynaX model-infusion package, and keep upstream provenance visible. The default package system prompt is:
|
| 137 |
|
| 138 |
+
```text
|
| 139 |
+
You are LumynaX operating from the LumynaX Infused SmolLM2 360M Instruct GGUF package identity. Be helpful, clear, and honest about provenance.
|
| 140 |
+
```
|
|
|
|
| 141 |
|
| 142 |
+
## Validation Status
|
| 143 |
|
| 144 |
+
| Field | Value |
|
| 145 |
+
| --- | --- |
|
| 146 |
+
| Runtime audit | `pass` |
|
| 147 |
+
| Public access audit | `public and non-gated` |
|
| 148 |
+
| Anonymous metadata access | `True` |
|
| 149 |
+
| Anonymous file listing | `True` |
|
| 150 |
+
| Quickstart syntax | `pass` |
|
| 151 |
+
| Manifest references | `pass` |
|
| 152 |
+
| Checksum references | `pass` |
|
| 153 |
|
| 154 |
+
The audit confirms public access, required release files, manifest references, checksum references, weight artifact presence, and quickstart syntax. It does not guarantee that every laptop has enough RAM or VRAM for the largest packages.
|
| 155 |
|
| 156 |
+
## Integrity Checks
|
| 157 |
|
| 158 |
+
After download, compare the model artifact against `checksums.sha256`.
|
| 159 |
+
|
| 160 |
+
```bash
|
| 161 |
+
sha256sum "smollm2-360m-instruct-q8_0.gguf"
|
| 162 |
+
cat checksums.sha256
|
| 163 |
+
```
|
| 164 |
+
|
| 165 |
+
On Windows PowerShell:
|
| 166 |
+
|
| 167 |
+
```powershell
|
| 168 |
+
Get-FileHash -Algorithm SHA256 "smollm2-360m-instruct-q8_0.gguf"
|
| 169 |
+
Get-Content checksums.sha256
|
| 170 |
```
|
| 171 |
|
| 172 |
+
## Provenance And License
|
| 173 |
+
|
| 174 |
+
- Publisher: AbteeX AI Labs.
|
| 175 |
+
- Family: LumynaX model and inference-chain release family.
|
| 176 |
+
- Upstream/base: `HuggingFaceTB/SmolLM2-360M-Instruct`.
|
| 177 |
+
- Source GGUF: `HuggingFaceTB/SmolLM2-360M-Instruct-GGUF`.
|
| 178 |
+
- License metadata: `apache-2.0`.
|
| 179 |
+
- License link: https://huggingface.co/HuggingFaceTB/SmolLM2-360M-Instruct-GGUF.
|
| 180 |
|
| 181 |
+
Respect the upstream model license and keep attribution files with redistributed copies. Do not present this package as privately trained or weight-merged unless the release manifest explicitly says that weight adaptation was applied.
|
| 182 |
|
| 183 |
+
## Limitations And Responsible Use
|
|
|
|
|
|
|
| 184 |
|
| 185 |
+
- Outputs can be incorrect, incomplete, or biased; validate important answers before use.
|
| 186 |
+
- Larger GGUF, MoE, multimodal, and frontier packages may require substantial RAM, VRAM, disk space, and recent runtime builds.
|
| 187 |
+
- For high-impact decisions, use human review and domain-specific evaluation.
|
| 188 |
+
- For sensitive data, prefer local execution and keep operational logs under your own governance policy.
|
| 189 |
+
- This card documents package readiness and access; it is not a benchmark claim.
|
| 190 |
|
| 191 |
+
## Automation Notes
|
| 192 |
|
| 193 |
+
Automation should read these files before launching:
|
|
|
|
|
|
|
|
|
|
|
|
|
| 194 |
|
| 195 |
+
- `release_export_manifest.json`
|
| 196 |
+
- `checksums.sha256`
|
| 197 |
+
- `quickstart.py`
|
| 198 |
+
- `requirements.txt`
|
| 199 |
+
- `ollama/Modelfile` when present
|
| 200 |
|
| 201 |
+
## Related LumynaX Demo
|
| 202 |
|
| 203 |
+
Try the public browser demo:
|
| 204 |
|
| 205 |
+
- https://huggingface.co/spaces/AbteeXAILab/lumynax-live-demo
|
checksums.sha256
CHANGED
|
@@ -9,10 +9,12 @@ c46f2b285b76fa0a180e3945a11fe035f318a73168b565973771474fb1b20494 merged_model/P
|
|
| 9 |
5e05007a23fd50cf67d323643af03c20ecf8aacd8728ebb159cfc9163a98e21c ollama/create_ollama_model.ps1
|
| 10 |
84f079674b6370ff673f3308c9759d17e88c94b276d31e470b826357fcf4cd6c ollama/Modelfile
|
| 11 |
1be0702ab536c4e402638faa5fcaffc368a245bf42930f4ece357299eee1e3cd quickstart.py
|
| 12 |
-
|
| 13 |
006cd08485755e0e71386b4a41a1401e8b72b737b7479670fd091976225398b5 release_export_manifest.json
|
| 14 |
2a7ca962dd79646b8470b45ec926ade0a4eb01ebdd93452e6990d8997666e378 requirements.txt
|
| 15 |
48ab3034d0dd401fbc721eb1df3217902fee7dab9078992d66431f09b7750201 smollm2-360m-instruct-q8_0.gguf
|
| 16 |
40211b0cb75f9ef6f3205da77372128ca8abe3dd159fbfcf42fee6b6f70845bc UPLOAD_TO_HF.md
|
| 17 |
2dfede0e6610c473959c963b292fcec325452acba33fd1bba21110e04933df53 VERSION.txt
|
| 18 |
c6a7ec3c652a97f205d9cd8f1ddc6c8cfd3f2b61274bf7175dc92f8ab09d8ecc docs/lumynax-release-map.svg
|
|
|
|
|
|
|
|
|
| 9 |
5e05007a23fd50cf67d323643af03c20ecf8aacd8728ebb159cfc9163a98e21c ollama/create_ollama_model.ps1
|
| 10 |
84f079674b6370ff673f3308c9759d17e88c94b276d31e470b826357fcf4cd6c ollama/Modelfile
|
| 11 |
1be0702ab536c4e402638faa5fcaffc368a245bf42930f4ece357299eee1e3cd quickstart.py
|
| 12 |
+
ea78dfcc83e878e13f520f3c88902b3b8d7b5813d869f71c3c70c59e1cfe1cc3 README.md
|
| 13 |
006cd08485755e0e71386b4a41a1401e8b72b737b7479670fd091976225398b5 release_export_manifest.json
|
| 14 |
2a7ca962dd79646b8470b45ec926ade0a4eb01ebdd93452e6990d8997666e378 requirements.txt
|
| 15 |
48ab3034d0dd401fbc721eb1df3217902fee7dab9078992d66431f09b7750201 smollm2-360m-instruct-q8_0.gguf
|
| 16 |
40211b0cb75f9ef6f3205da77372128ca8abe3dd159fbfcf42fee6b6f70845bc UPLOAD_TO_HF.md
|
| 17 |
2dfede0e6610c473959c963b292fcec325452acba33fd1bba21110e04933df53 VERSION.txt
|
| 18 |
c6a7ec3c652a97f205d9cd8f1ddc6c8cfd3f2b61274bf7175dc92f8ab09d8ecc docs/lumynax-release-map.svg
|
| 19 |
+
54d44454133fa9e35a089675bc741ffbc86987745c67de3e9789165cff665382 docs/lumynax-release-overview.svg
|
| 20 |
+
b13dba2284b76a058560386943506d9926563454971089067397d57f05cb9ad6 docs/lumynax-runtime-flow.svg
|
docs/lumynax-release-overview.svg
ADDED
|
|
docs/lumynax-runtime-flow.svg
ADDED
|
|