Text Generation
GGUF
English
llama.cpp
ollama
lm-studio
gpt2
humor
parody
tiny
chat
conversational
ram
Instructions to use brunuu/RAM_Altman_GPT-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 brunuu/RAM_Altman_GPT-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 brunuu/RAM_Altman_GPT-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf brunuu/RAM_Altman_GPT-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 brunuu/RAM_Altman_GPT-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf brunuu/RAM_Altman_GPT-GGUF:Q4_K_M
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 brunuu/RAM_Altman_GPT-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf brunuu/RAM_Altman_GPT-GGUF:Q4_K_M
Use Docker
docker model run hf.co/brunuu/RAM_Altman_GPT-GGUF:Q4_K_M
- Llama new
- LM Studio
- Jan
- vLLM
How to use brunuu/RAM_Altman_GPT-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "brunuu/RAM_Altman_GPT-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": "brunuu/RAM_Altman_GPT-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/brunuu/RAM_Altman_GPT-GGUF:Q4_K_M
- Ollama
How to use brunuu/RAM_Altman_GPT-GGUF with Ollama:
ollama run hf.co/brunuu/RAM_Altman_GPT-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use brunuu/RAM_Altman_GPT-GGUF with Docker Model Runner:
docker model run hf.co/brunuu/RAM_Altman_GPT-GGUF:Q4_K_M
- Lemonade
How to use brunuu/RAM_Altman_GPT-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull brunuu/RAM_Altman_GPT-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.RAM_Altman_GPT-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download Modelfile from brunuu/RAM_Altman_GPT-GGUF: direct link, hf CLI and curl.
- Browser
- Download file 378 Bytes
-
https://huggingface.co/brunuu/RAM_Altman_GPT-GGUF/resolve/main/Modelfile
- Command line
-
hf download hf://brunuu/RAM_Altman_GPT-GGUF/Modelfile
-
curl -L -o Modelfile https://huggingface.co/brunuu/RAM_Altman_GPT-GGUF/resolve/main/Modelfile
378 Bytes
| FROM ./RAM_Altman_GPT-f16.gguf | |
| # chat format: wrap the user prompt and let the model answer as RAM-ALTMAN | |
| TEMPLATE "User: {{ .Prompt }}\nRAM-ALTMAN:" | |
| PARAMETER num_ctx 379 | |
| PARAMETER temperature 1.0 | |
| PARAMETER repeat_penalty 1.0 | |
| PARAMETER top_k 50 | |
| PARAMETER top_p 1.0 | |
| PARAMETER min_p 0.0 | |
| PARAMETER num_predict 256 | |
| PARAMETER stop "<|i_have_enough_ram|>" | |
| PARAMETER stop "\nUser:" | |