Instructions to use RahnTechLabs/rtl-flutter-0.2 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 RahnTechLabs/rtl-flutter-0.2 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 RahnTechLabs/rtl-flutter-0.2 # Run inference directly in the terminal: llama cli -hf RahnTechLabs/rtl-flutter-0.2
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf RahnTechLabs/rtl-flutter-0.2 # Run inference directly in the terminal: llama cli -hf RahnTechLabs/rtl-flutter-0.2
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf RahnTechLabs/rtl-flutter-0.2 # Run inference directly in the terminal: ./build/bin/llama cli -hf RahnTechLabs/rtl-flutter-0.2
Use Docker
docker model run hf.co/RahnTechLabs/rtl-flutter-0.2
- Llama new
- LM Studio
- Jan
- vLLM
How to use RahnTechLabs/rtl-flutter-0.2 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "RahnTechLabs/rtl-flutter-0.2" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "RahnTechLabs/rtl-flutter-0.2", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/RahnTechLabs/rtl-flutter-0.2
- Ollama
How to use RahnTechLabs/rtl-flutter-0.2 with Ollama:
ollama run hf.co/RahnTechLabs/rtl-flutter-0.2
- Unsloth Desktop
- Pi
How to use RahnTechLabs/rtl-flutter-0.2 with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf RahnTechLabs/rtl-flutter-0.2
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": "RahnTechLabs/rtl-flutter-0.2" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use RahnTechLabs/rtl-flutter-0.2 with Docker Model Runner:
docker model run hf.co/RahnTechLabs/rtl-flutter-0.2
- Lemonade
How to use RahnTechLabs/rtl-flutter-0.2 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull RahnTechLabs/rtl-flutter-0.2
Run and chat with the model
lemonade run user.rtl-flutter-0.2-{{QUANT_TAG}}List all available models
lemonade list
- Hermes Agent
How to use RahnTechLabs/rtl-flutter-0.2 with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf RahnTechLabs/rtl-flutter-0.2
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 RahnTechLabs/rtl-flutter-0.2
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use RahnTechLabs/rtl-flutter-0.2 with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf RahnTechLabs/rtl-flutter-0.2
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 "RahnTechLabs/rtl-flutter-0.2" \ --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"
Release standalone rtl-flutter-0.2 Q4_K_M
Browse files- .gitattributes +1 -0
- README.md +78 -0
- release_manifest.json +47 -0
- rtl-flutter-0.2.gguf +3 -0
.gitattributes
CHANGED
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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rtl-flutter-0.2.gguf filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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base_model: Qwen/Qwen3.5-4B
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license: apache-2.0
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library_name: llama.cpp
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pipeline_tag: text-generation
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tags:
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- flutter
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- dart
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- mobile-development
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- gguf
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- llama.cpp
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---
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# RTL-Flutter 0.2
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`rtl-flutter-0.2` is a standalone, merged GGUF model for Dart, Flutter, and
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mobile-engineering assistance. The LoRA adapter has already been merged into
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the Qwen3.5-4B base; users do not need to download or pass a separate adapter.
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## Run with llama.cpp
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Download this repository and use the GGUF file directly:
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```bash
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hf download RahnTechLabs/rtl-flutter-0.2 \
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rtl-flutter-0.2.gguf --local-dir ./rtl-flutter-0.2
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llama-cli \
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-m ./rtl-flutter-0.2/rtl-flutter-0.2.gguf \
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--jinja \
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--reasoning-budget 0 \
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-p "Explain how Flutter Widget.canUpdate works."
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```
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For a local OpenAI-compatible server:
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```bash
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llama-server \
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-m ./rtl-flutter-0.2/rtl-flutter-0.2.gguf \
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--jinja \
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--reasoning-budget 0
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```
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The file is Q4_K_M quantized and is approximately 2.7 GB. A llama.cpp build
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with Qwen3.5 support is required; current llama.cpp releases provide this
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architecture.
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## Intended use and limitations
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This is an experimental domain model for engineering assistance, code review,
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debugging explanations, and architecture discussions involving Flutter, Dart,
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Android, and iOS. It can produce confident errors, especially on version-
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specific APIs and edge cases. Verify answers against the current SDK and
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official documentation before shipping production code.
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The held-out benchmark and training data are not included in this repository.
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Do not put secrets, proprietary code, or personal data into prompts.
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## Training and provenance
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- Base: `Qwen/Qwen3.5-4B`
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- 475 training examples and 25 validation examples
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- 2 epochs, learning rate `5e-6`
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- LoRA rank 8, alpha 16, dropout 0.05
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- bfloat16 training in the project ROCm/PyTorch workflow
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- Sources included authorized local Dart/Flutter material and current official
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Flutter and `flutter_bloc` documentation
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The published file was produced by merging the project LoRA adapter into a
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compatible Q4_K_M base, then requantizing the merged weights to Q4_K_M for
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standalone distribution. Requantization can cause a small quality change from
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the unquantized merged intermediate.
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## License
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The base model is distributed under Apache-2.0. This release contains derived
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weights, so review the base model terms and ensure that you have the necessary
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rights for any local source material before redistributing or deploying it.
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release_manifest.json
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{
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"release": "rtl-flutter-0.2",
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"repository": "RahnTechLabs/rtl-flutter-0.2",
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"format": "GGUF",
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"quantization": "Q4_K_M",
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"standalone": true,
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"base_model": "Qwen/Qwen3.5-4B",
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"license": "apache-2.0",
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"source_adapter": "rtl-flutter-v0.2-r8",
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"training": {
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"train_rows": 475,
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+
"validation_rows": 25,
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"epochs": 2,
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+
"learning_rate": 5e-6,
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+
"lora_rank": 8,
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+
"lora_alpha": 16,
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+
"lora_dropout": 0.05,
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"precision": "bfloat16"
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},
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"validation_metrics": {
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+
"validation_loss": 1.7573,
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+
"validation_perplexity": 5.797,
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"elapsed_seconds": 1723,
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+
"peak_vram_gb": 9.96
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},
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"benchmark": {
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"held_out_file": "not included in release package",
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"questions_included": false
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},
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"privacy": {
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"training_data_copied": false,
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"benchmark_questions_copied": false,
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"private_project_paths_copied": false
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},
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"llama_cpp": {
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"file": "rtl-flutter-0.2.gguf",
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"base_quantization": "Q4_K_M",
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| 38 |
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"standalone": true,
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"sha256": "8bce1c52c570dc5a63f1c302e62da4fca29805c6cbe961ccb54e21cd54e09fed"
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},
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| 41 |
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"files": {
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"rtl-flutter-0.2.gguf": {
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"bytes": 2708804768,
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+
"sha256": "8bce1c52c570dc5a63f1c302e62da4fca29805c6cbe961ccb54e21cd54e09fed"
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}
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}
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}
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rtl-flutter-0.2.gguf
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:8bce1c52c570dc5a63f1c302e62da4fca29805c6cbe961ccb54e21cd54e09fed
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+
size 2708804768
|