Instructions to use ales27pm/lumen-qwen3-bootstrap-gguf 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 ales27pm/lumen-qwen3-bootstrap-gguf 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 ales27pm/lumen-qwen3-bootstrap-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf ales27pm/lumen-qwen3-bootstrap-gguf:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf ales27pm/lumen-qwen3-bootstrap-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf ales27pm/lumen-qwen3-bootstrap-gguf:Q4_K_M
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 ales27pm/lumen-qwen3-bootstrap-gguf:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf ales27pm/lumen-qwen3-bootstrap-gguf:Q4_K_M
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 ales27pm/lumen-qwen3-bootstrap-gguf:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf ales27pm/lumen-qwen3-bootstrap-gguf:Q4_K_M
Use Docker
docker model run hf.co/ales27pm/lumen-qwen3-bootstrap-gguf:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use ales27pm/lumen-qwen3-bootstrap-gguf with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ales27pm/lumen-qwen3-bootstrap-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": "ales27pm/lumen-qwen3-bootstrap-gguf", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/ales27pm/lumen-qwen3-bootstrap-gguf:Q4_K_M
- Ollama
How to use ales27pm/lumen-qwen3-bootstrap-gguf with Ollama:
ollama run hf.co/ales27pm/lumen-qwen3-bootstrap-gguf:Q4_K_M
- Unsloth Studio
How to use ales27pm/lumen-qwen3-bootstrap-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 ales27pm/lumen-qwen3-bootstrap-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 ales27pm/lumen-qwen3-bootstrap-gguf to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for ales27pm/lumen-qwen3-bootstrap-gguf to start chatting
- Pi
How to use ales27pm/lumen-qwen3-bootstrap-gguf with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf ales27pm/lumen-qwen3-bootstrap-gguf:Q4_K_M
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "ales27pm/lumen-qwen3-bootstrap-gguf:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- OpenClaw new
How to use ales27pm/lumen-qwen3-bootstrap-gguf with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf ales27pm/lumen-qwen3-bootstrap-gguf:Q4_K_M
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 "ales27pm/lumen-qwen3-bootstrap-gguf:Q4_K_M" \ --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"
- Docker Model Runner
How to use ales27pm/lumen-qwen3-bootstrap-gguf with Docker Model Runner:
docker model run hf.co/ales27pm/lumen-qwen3-bootstrap-gguf:Q4_K_M
- Lemonade
How to use ales27pm/lumen-qwen3-bootstrap-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull ales27pm/lumen-qwen3-bootstrap-gguf:Q4_K_M
Run and chat with the model
lemonade run user.lumen-qwen3-bootstrap-gguf-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use ales27pm/lumen-qwen3-bootstrap-gguf with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf ales27pm/lumen-qwen3-bootstrap-gguf:Q4_K_M
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 ales27pm/lumen-qwen3-bootstrap-gguf:Q4_K_M
Run Hermes
hermes
- Atomic Chat
File size: 3,554 Bytes
190e9bf 903587d 190e9bf 903587d 190e9bf | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 | ---
language:
- en
library_name: llama.cpp
pipeline_tag: text-generation
tags:
- gguf
- qwen3
- quantized
- on-device
- lumen
base_model:
- Qwen/Qwen3-1.7B
---
# Lumen Qwen3 1.7B shared-base GGUF
This card documents the single shared-base artifact
`lumen-qwen3-fast-shared-q4_k_m.gguf` in
`ales27pm/lumen-qwen3-bootstrap-gguf`. Lumen uses it as the common base for
role-specific LoRA adapters in its local-first iOS runtime.
## Immutable artifact identity
| Field | Value |
| --- | --- |
| Lumen repository | `ales27pm/lumen-qwen3-bootstrap-gguf` |
| Lumen artifact lineage revision | `8abae6d695408dbc75a134212dd616cd14549ae1` |
| Lumen file | `lumen-qwen3-fast-shared-q4_k_m.gguf` |
| File size | 1,282,439,264 bytes |
| File SHA-256 | `a7f6720f68f4a4567ebf7e3257041dd0b72077b518efe56890aec3516b59b9de` |
| Immediate source repository | `rippertnt/Qwen3-1.7B-Q4_K_M-GGUF` |
| Immediate source revision | `b93c0c328252f68cda622847ba0218689a8b6ba4` |
| Immediate source file | `qwen3-1.7b-q4_k_m.gguf` |
| Identified upstream base | `Qwen/Qwen3-1.7B` |
| Exact upstream Qwen revision used for quantization | **Not recorded** |
Pinned links: [Lumen artifact](https://huggingface.co/ales27pm/lumen-qwen3-bootstrap-gguf/blob/8abae6d695408dbc75a134212dd616cd14549ae1/lumen-qwen3-fast-shared-q4_k_m.gguf),
[immediate-source artifact](https://huggingface.co/rippertnt/Qwen3-1.7B-Q4_K_M-GGUF/blob/b93c0c328252f68cda622847ba0218689a8b6ba4/qwen3-1.7b-q4_k_m.gguf),
and [immediate-source card](https://huggingface.co/rippertnt/Qwen3-1.7B-Q4_K_M-GGUF/blob/b93c0c328252f68cda622847ba0218689a8b6ba4/README.md).
The Lumen file is byte-identical to the immediate-source file at the pinned
revision. Lumen only renamed and re-hosted that GGUF; it did not convert,
quantize, merge, or otherwise modify its bytes.
The immediate-source model card identifies `Qwen/Qwen3-1.7B` as the base,
declares Apache-2.0, and describes GGUF conversion with llama.cpp through the
GGUF-my-repo workflow. It does not record the immutable upstream Qwen commit
used for the April 2025 conversion, so this card does not invent one.
## Scope warning
This card's byte-identity and provenance statements apply only to
`lumen-qwen3-fast-shared-q4_k_m.gguf`. The artifact-lineage revision also
contains separate Lumen release-bake GGUF files. Those files are not the
byte-identical rehost documented here, and this card does not establish their
provenance or license status. They require separate documentation before any
repository-wide licensing claim is made.
## Intended use
The covered artifact is intended as a local GGUF base for a compatible
llama.cpp runtime, including Lumen's role-adapter runtime. Model output is
untrusted and must remain behind application-layer validation, permissions,
approvals, privacy controls, and bounded tool execution.
## Limitations
- The exact upstream `Qwen/Qwen3-1.7B` revision used by the immediate-source
quantizer is unknown.
- Quality, safety, and performance depend on the runtime, prompt, sampling
configuration, device, and any applied adapters.
- This artifact is not itself an application safety or authorization system.
## License and attribution
The covered shared-base artifact is provided under the Apache License 2.0;
see `LICENSE`. See `NOTICE.md` for the immutable source chain, modification
statement, scope boundary, and attribution.
Alibaba Cloud, the Qwen authors, rippertnt, Hugging Face, llama.cpp,
GGUF-my-repo, and their respective contributors do not endorse Lumen, this
rehost, or applications that use it.
|