Instructions to use Cyclone300/WolfGang300 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 Cyclone300/WolfGang300 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 Cyclone300/WolfGang300:IQ1_S # Run inference directly in the terminal: llama cli -hf Cyclone300/WolfGang300:IQ1_S
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Cyclone300/WolfGang300:IQ1_S # Run inference directly in the terminal: llama cli -hf Cyclone300/WolfGang300:IQ1_S
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 Cyclone300/WolfGang300:IQ1_S # Run inference directly in the terminal: ./build/bin/llama cli -hf Cyclone300/WolfGang300:IQ1_S
Use Docker
docker model run hf.co/Cyclone300/WolfGang300:IQ1_S
- Llama new
- LM Studio
- Jan
- Ollama
How to use Cyclone300/WolfGang300 with Ollama:
ollama run hf.co/Cyclone300/WolfGang300:IQ1_S
- Unsloth Desktop
- Docker Model Runner
How to use Cyclone300/WolfGang300 with Docker Model Runner:
docker model run hf.co/Cyclone300/WolfGang300:IQ1_S
- Lemonade
How to use Cyclone300/WolfGang300 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Cyclone300/WolfGang300:IQ1_S
Run and chat with the model
lemonade run user.WolfGang300-IQ1_S
List all available models
lemonade list
- Atomic Chat
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Download README.md from Cyclone300/WolfGang300: direct link, hf CLI and curl.
- Browser
- Download file 1.74 kB
-
https://huggingface.co/Cyclone300/WolfGang300/resolve/main/README.md
- Command line
-
hf download hf://Cyclone300/WolfGang300/README.md
-
curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/Cyclone300/WolfGang300/resolve/main/README.md
1.74 kB
| library_name: gguf | |
| tags: | |
| - gguf | |
| - llama | |
| - dolphin | |
| - llama-3.2 | |
| - 1b | |
| - mobile | |
| - on-device | |
| base_model: dphn/Dolphin3.0-Llama3.2-1B | |
| license: apache-2.0 | |
| # Dolphin3.0 Llama3.2 1B — GGUF (mobile-optimized) | |
| GGUF quants of [dphn/Dolphin3.0-Llama3.2-1B](https://huggingface.co/dphn/Dolphin3.0-Llama3.2-1B), | |
| tuned for on-device / phone inference. Quantized with the `i1` importance matrix | |
| (imatrix) for better quality at low bit widths. | |
| ## Files | |
| | File | Size | Quant | Notes | | |
| |---|---|---|---| | |
| | `Dolphin3.0-Llama3.2-1B.i1-IQ1_S.gguf` | 394 MB | IQ1_S | Smallest. Lowest memory, lowest quality. | | |
| | `Dolphin3.0-Llama3.2-1B.i1-Q4_K_M.gguf` | 808 MB | Q4_K_M | **Recommended.** Best coherence per byte. | | |
| ## Phone usage | |
| Requires a [llama.cpp](https://github.com/ggml-org/llama.cpp) build with a GGUF loader | |
| (MLC, Ollama, llama.cpp, ChatterUI, PocketPal, MLC Chat, or an iOS/Android app with | |
| llama.cpp support). | |
| llama.cpp CLI: | |
| ```bash | |
| llama-cli -m Dolphin3.0-Llama3.2-1B.i1-Q4_K_M.gguf \ | |
| -ngl 99 -c 4096 -n 512 \ | |
| --jinja \ | |
| -p "<|im_start|>user | |
| Hi<|im_end|> | |
| <|im_start|>assistant | |
| " | |
| ``` | |
| Chat template (ChatML, as used by Dolphin): | |
| ``` | |
| <|im_start|>system | |
| You are a helpful assistant.<|im_end|> | |
| <|im_start|>user | |
| {prompt}<|im_end|> | |
| <|im_start|>assistant | |
| ``` | |
| Recommended phone settings: | |
| - `-c 4096` context (1B degrades past ~4k; raise only if you have RAM headroom) | |
| - `-ngl 99` offload everything to GPU/NPU | |
| - Prefer **Q4_K_M**. Drop to IQ1_S only on very low-RAM devices. | |
| ## Provenance | |
| Quants mirrored from [`mradermacher/Dolphin3.0-Llama3.2-1B-i1-GGUF`](https://huggingface.co/mradermacher/Dolphin3.0-Llama3.2-1B-i1-GGUF). | |
| Base model by the Dolphin project (`dphn`). No weights were modified in this mirror. | |