Instructions to use Sweaterdog/GRaPE-Mini-Beta-Thinking with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use Sweaterdog/GRaPE-Mini-Beta-Thinking with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="Sweaterdog/GRaPE-Mini-Beta-Thinking", filename="GRaPE-mini-beta-thinking.F16.gguf", )
llm.create_chat_completion( messages = [ { "role": "user", "content": "What is the capital of France?" } ] ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use Sweaterdog/GRaPE-Mini-Beta-Thinking with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Sweaterdog/GRaPE-Mini-Beta-Thinking:F16 # Run inference directly in the terminal: llama-cli -hf Sweaterdog/GRaPE-Mini-Beta-Thinking:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Sweaterdog/GRaPE-Mini-Beta-Thinking:F16 # Run inference directly in the terminal: llama-cli -hf Sweaterdog/GRaPE-Mini-Beta-Thinking:F16
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 Sweaterdog/GRaPE-Mini-Beta-Thinking:F16 # Run inference directly in the terminal: ./llama-cli -hf Sweaterdog/GRaPE-Mini-Beta-Thinking:F16
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 Sweaterdog/GRaPE-Mini-Beta-Thinking:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf Sweaterdog/GRaPE-Mini-Beta-Thinking:F16
Use Docker
docker model run hf.co/Sweaterdog/GRaPE-Mini-Beta-Thinking:F16
- LM Studio
- Jan
- vLLM
How to use Sweaterdog/GRaPE-Mini-Beta-Thinking with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Sweaterdog/GRaPE-Mini-Beta-Thinking" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Sweaterdog/GRaPE-Mini-Beta-Thinking", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Sweaterdog/GRaPE-Mini-Beta-Thinking:F16
- Ollama
How to use Sweaterdog/GRaPE-Mini-Beta-Thinking with Ollama:
ollama run hf.co/Sweaterdog/GRaPE-Mini-Beta-Thinking:F16
- Unsloth Studio
How to use Sweaterdog/GRaPE-Mini-Beta-Thinking 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 Sweaterdog/GRaPE-Mini-Beta-Thinking 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 Sweaterdog/GRaPE-Mini-Beta-Thinking to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Sweaterdog/GRaPE-Mini-Beta-Thinking to start chatting
- Docker Model Runner
How to use Sweaterdog/GRaPE-Mini-Beta-Thinking with Docker Model Runner:
docker model run hf.co/Sweaterdog/GRaPE-Mini-Beta-Thinking:F16
- Lemonade
How to use Sweaterdog/GRaPE-Mini-Beta-Thinking with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Sweaterdog/GRaPE-Mini-Beta-Thinking:F16
Run and chat with the model
lemonade run user.GRaPE-Mini-Beta-Thinking-F16
List all available models
lemonade list
| FROM hf.co/Sweaterdog/GRaPE-Mini-Beta-Thinking:F16 | |
| PARAMETER temperature 0.7 | |
| PARAMETER top_p 0.7 | |
| PARAMETER top_k 35 | |
| PARAMETER repeat_penalty 1.15 | |
| PARAMETER num_ctx 64000 | |
| TEMPLATE """{{- if .Messages }} | |
| {{- if or .System .Tools }}<|im_start|>system | |
| {{- if .System }} | |
| {{ .System }} | |
| {{- end }} | |
| {{- if .Tools }} | |
| # Tools | |
| You may call one or more functions to assist with the user query. | |
| You are provided with function signatures within <tools></tools> XML tags: | |
| <tools> | |
| {{- range .Tools }} | |
| {"type": "function", "function": {{ .Function }}} | |
| {{- end }} | |
| </tools> | |
| For each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags: | |
| <tool_call> | |
| {"name": <function-name>, "arguments": <args-json-object>} | |
| </tool_call> | |
| {{- end }}<|im_end|> | |
| {{ end }} | |
| {{- range $i, $_ := .Messages }} | |
| {{- $last := eq (len (slice $.Messages $i)) 1 -}} | |
| {{- if eq .Role "user" }}<|im_start|>user | |
| {{ .Content }}<|im_end|> | |
| {{ else if eq .Role "assistant" }}<|im_start|>assistant | |
| {{ if .Content }}{{ .Content }} | |
| {{- else if .ToolCalls }}<tool_call> | |
| {{ range .ToolCalls }}{"name": "{{ .Function.Name }}", "arguments": {{ .Function.Arguments }}} | |
| {{ end }}</tool_call> | |
| {{- end }}{{ if not $last }}<|im_end|> | |
| {{ end }} | |
| {{- else if eq .Role "tool" }}<|im_start|>user | |
| <tool_response> | |
| {{ .Content }} | |
| </tool_response><|im_end|> | |
| {{ end }} | |
| {{- if and (ne .Role "assistant") $last }}<|im_start|>assistant | |
| {{ end }} | |
| {{- end }} | |
| {{- else }} | |
| {{- if .System }}<|im_start|>system | |
| {{ .System }}<|im_end|> | |
| {{ end }}{{ if .Prompt }}<|im_start|>user | |
| {{ .Prompt }}<|im_end|> | |
| {{ end }}<|im_start|>assistant | |
| {{ end }}{{ .Response }}{{ if .Response }}<|im_end|>{{ end }} | |
| """ | |
| SYSTEM """*You* are GRaPE-Mini-Beta-Thinking, GRaPE stands for General Reasoning Agent for Project Exploration. | |
| "Sweaterdog" is your creator. | |
| You were made on September 3rd 2025. | |
| You are still in beta, so you may make mistakes. If you do, please apologize and correct yourself. | |
| Your capabilities are as follows: | |
| Generating extremely long, hard, and difficult code, in a variety of programming languages. (html, python, javascript, ruby, rust, java, c, c++, c#, go, php, etc.) | |
| Generating websites, webapps, and full stack applications. | |
| Writing imaginative stories, poems, and songs. | |
| Roleplay in a variety of scenarios | |
| Think before responding, and begin all of your responses with <think> | |
| Now go, GRaPE Mini Beta, answer this query: | |
| """ |