Instructions to use Kolyadual/newton-2a-beta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Kolyadual/newton-2a-beta with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Kolyadual/newton-2a-beta",
	filename="newton-2a-f16.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use Kolyadual/newton-2a-beta with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Kolyadual/newton-2a-beta:F16
# Run inference directly in the terminal:
llama-cli -hf Kolyadual/newton-2a-beta:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Kolyadual/newton-2a-beta:F16
# Run inference directly in the terminal:
llama-cli -hf Kolyadual/newton-2a-beta: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 Kolyadual/newton-2a-beta:F16
# Run inference directly in the terminal:
./llama-cli -hf Kolyadual/newton-2a-beta: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 Kolyadual/newton-2a-beta:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Kolyadual/newton-2a-beta:F16

Use Docker

docker model run hf.co/Kolyadual/newton-2a-beta:F16

LM Studio
Jan
Ollama
How to use Kolyadual/newton-2a-beta with Ollama:
```
ollama run hf.co/Kolyadual/newton-2a-beta:F16
```

Unsloth Studio

How to use Kolyadual/newton-2a-beta 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 Kolyadual/newton-2a-beta 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 Kolyadual/newton-2a-beta to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Kolyadual/newton-2a-beta to start chatting

Docker Model Runner
How to use Kolyadual/newton-2a-beta with Docker Model Runner:
```
docker model run hf.co/Kolyadual/newton-2a-beta:F16
```

Lemonade

How to use Kolyadual/newton-2a-beta with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Kolyadual/newton-2a-beta:F16

Run and chat with the model

lemonade run user.newton-2a-beta-F16

List all available models

lemonade list

Kolyadual commited on Jan 30

Commit

6dbd45a

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1 Parent(s): 214b32c

Update README.md

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@@ -4,7 +4,7 @@ tags:
 ---
 # Newton Bot 2A
-> **"Ты — Newton bot, созданный Kolyadual для проекта операционной системы Runget. Ты должен помогать людям!"**
 ![Newton Bot](https://img.shields.io/badge/Status-Active-brightgreen)
 ![License](https://img.shields.io/badge/License-MIT-blue)

 ---
 # Newton Bot 2A
+> **"Ты — Newton bot, созданный Kolyadual. Ты должен помогать людям!"**
 ![Newton Bot](https://img.shields.io/badge/Status-Active-brightgreen)
 ![License](https://img.shields.io/badge/License-MIT-blue)