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

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

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

Clarify shared-base artifact lineage scope

by ales27pm - opened 3 days ago

base: refs/heads/main

←

from: refs/pr/2

Discussion Files changed

+10

-10

Files changed (2) hide show

NOTICE.md +3 -3
README.md +7 -7

NOTICE.md CHANGED Viewed

@@ -1,7 +1,7 @@
 # Notice for the Lumen Qwen3 shared-base GGUF
 This notice applies only to
-`lumen-qwen3-fast-shared-q4_k_m.gguf` at Lumen repository revision
 `8abae6d695408dbc75a134212dd616cd14549ae1`.
 ## Source and modification statement
@@ -27,8 +27,8 @@ gap instead of associating the artifact with a later Qwen revision.
 ## Scope boundary
-The same Lumen repository revision contains separate release-bake GGUF files.
-They are not covered by this byte-identity statement or by this draft's
 artifact-specific provenance claim and require separate documentation.
 ## No endorsement

 # Notice for the Lumen Qwen3 shared-base GGUF
 This notice applies only to
+`lumen-qwen3-fast-shared-q4_k_m.gguf` at Lumen artifact lineage revision
 `8abae6d695408dbc75a134212dd616cd14549ae1`.
 ## Source and modification statement
 ## Scope boundary
+The same Lumen artifact-lineage revision contains separate release-bake GGUF
+files. They are not covered by this byte-identity statement or by this notice's
 artifact-specific provenance claim and require separate documentation.
 ## No endorsement

README.md CHANGED Viewed

@@ -25,7 +25,7 @@ role-specific LoRA adapters in its local-first iOS runtime.
 | Field | Value |
 | --- | --- |
 | Lumen repository | `ales27pm/lumen-qwen3-bootstrap-gguf` |
-| Lumen repository revision | `8abae6d695408dbc75a134212dd616cd14549ae1` |
 | Lumen file | `lumen-qwen3-fast-shared-q4_k_m.gguf` |
 | File size | 1,282,439,264 bytes |
 | File SHA-256 | `a7f6720f68f4a4567ebf7e3257041dd0b72077b518efe56890aec3516b59b9de` |
@@ -50,12 +50,12 @@ used for the April 2025 conversion, so this card does not invent one.
 ## Scope warning
-This draft's byte-identity and provenance statements apply only to
-`lumen-qwen3-fast-shared-q4_k_m.gguf`. The repository revision also contains
-separate Lumen release-bake GGUF files. Those files are not the byte-identical
-rehost documented here, and this draft does not establish their provenance or
-license status. They require separate documentation before any repository-wide
-licensing claim is made.
 ## Intended use

 | 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` |
 ## 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