Instructions to use Evrmind/EVR-1-Bafethu-8b-Reasoning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Evrmind/EVR-1-Bafethu-8b-Reasoning 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 Evrmind/EVR-1-Bafethu-8b-Reasoning
# Run inference directly in the terminal:
llama cli -hf Evrmind/EVR-1-Bafethu-8b-Reasoning

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Evrmind/EVR-1-Bafethu-8b-Reasoning
# Run inference directly in the terminal:
llama cli -hf Evrmind/EVR-1-Bafethu-8b-Reasoning

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 Evrmind/EVR-1-Bafethu-8b-Reasoning
# Run inference directly in the terminal:
./llama-cli -hf Evrmind/EVR-1-Bafethu-8b-Reasoning

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 Evrmind/EVR-1-Bafethu-8b-Reasoning
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Evrmind/EVR-1-Bafethu-8b-Reasoning

Use Docker

docker model run hf.co/Evrmind/EVR-1-Bafethu-8b-Reasoning

LM Studio
Jan

vLLM

How to use Evrmind/EVR-1-Bafethu-8b-Reasoning with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Evrmind/EVR-1-Bafethu-8b-Reasoning"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Evrmind/EVR-1-Bafethu-8b-Reasoning",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Evrmind/EVR-1-Bafethu-8b-Reasoning

Ollama
How to use Evrmind/EVR-1-Bafethu-8b-Reasoning with Ollama:
```
ollama run hf.co/Evrmind/EVR-1-Bafethu-8b-Reasoning
```
Unsloth Desktop
Docker Model Runner
How to use Evrmind/EVR-1-Bafethu-8b-Reasoning with Docker Model Runner:
```
docker model run hf.co/Evrmind/EVR-1-Bafethu-8b-Reasoning
```

Lemonade

How to use Evrmind/EVR-1-Bafethu-8b-Reasoning with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Evrmind/EVR-1-Bafethu-8b-Reasoning

Run and chat with the model

lemonade run user.EVR-1-Bafethu-8b-Reasoning-{{QUANT_TAG}}

List all available models

lemonade list

Atomic Chat

EVR-1-Bafethu-8b-Reasoning / evrmind-windows-cuda.zip

Evrmind

Upload folder using huggingface_hub

304bcee verified 6 months ago

Download

History Blame Contribute Delete

160 MB

This file is stored with Xet . It is too big to display, but you can still download it.

Xet Pointer Details

( Raw pointer file )

Xet hash:: ed709dee3add81566777cd21a1f8edba057cc9724d4ffd70aab2d960acc2e024
Size of remote file:: 160 MB
SHA256:: 05550016b1e56e04df7b10ef3f509b7657b06381e2cb8e500772a5139ca45af0

Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.

Evrmind
/

EVR-1-Bafethu-8b-Reasoning

Pickle imports

Xet Pointer Details