Instructions to use Vijay1303/delta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use Vijay1303/delta with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="Vijay1303/delta", filename="delta-model.f16.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use Vijay1303/delta with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Vijay1303/delta:F16 # Run inference directly in the terminal: llama-cli -hf Vijay1303/delta:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Vijay1303/delta:F16 # Run inference directly in the terminal: llama-cli -hf Vijay1303/delta: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 Vijay1303/delta:F16 # Run inference directly in the terminal: ./llama-cli -hf Vijay1303/delta: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 Vijay1303/delta:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf Vijay1303/delta:F16
Use Docker
docker model run hf.co/Vijay1303/delta:F16
- LM Studio
- Jan
- Ollama
How to use Vijay1303/delta with Ollama:
ollama run hf.co/Vijay1303/delta:F16
- Unsloth Studio new
How to use Vijay1303/delta 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 Vijay1303/delta 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 Vijay1303/delta to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Vijay1303/delta to start chatting
- Docker Model Runner
How to use Vijay1303/delta with Docker Model Runner:
docker model run hf.co/Vijay1303/delta:F16
- Lemonade
How to use Vijay1303/delta with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Vijay1303/delta:F16
Run and chat with the model
lemonade run user.delta-F16
List all available models
lemonade list
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
|
| 2 |
# 🤖 Delta - Tiny Helpful Assistant (GPT2-style)
|
| 3 |
|
|
@@ -106,4 +111,4 @@ You can:
|
|
| 106 |
|
| 107 |
**Vijay1303**
|
| 108 |
[Hugging Face Profile](https://huggingface.co/Vijay1303)
|
| 109 |
-
Feel free to ⭐ the repo if you find this useful!
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: mit
|
| 3 |
+
language:
|
| 4 |
+
- en
|
| 5 |
+
---
|
| 6 |
|
| 7 |
# 🤖 Delta - Tiny Helpful Assistant (GPT2-style)
|
| 8 |
|
|
|
|
| 111 |
|
| 112 |
**Vijay1303**
|
| 113 |
[Hugging Face Profile](https://huggingface.co/Vijay1303)
|
| 114 |
+
Feel free to ⭐ the repo if you find this useful!
|