Instructions to use Chemin-AI/llama3-8b-cpt-sahabatai-v1-instruct-q8_0-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Chemin-AI/llama3-8b-cpt-sahabatai-v1-instruct-q8_0-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 Chemin-AI/llama3-8b-cpt-sahabatai-v1-instruct-q8_0-gguf:Q8_0
# Run inference directly in the terminal:
llama cli -hf Chemin-AI/llama3-8b-cpt-sahabatai-v1-instruct-q8_0-gguf:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Chemin-AI/llama3-8b-cpt-sahabatai-v1-instruct-q8_0-gguf:Q8_0
# Run inference directly in the terminal:
llama cli -hf Chemin-AI/llama3-8b-cpt-sahabatai-v1-instruct-q8_0-gguf:Q8_0

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 Chemin-AI/llama3-8b-cpt-sahabatai-v1-instruct-q8_0-gguf:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf Chemin-AI/llama3-8b-cpt-sahabatai-v1-instruct-q8_0-gguf:Q8_0

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 Chemin-AI/llama3-8b-cpt-sahabatai-v1-instruct-q8_0-gguf:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Chemin-AI/llama3-8b-cpt-sahabatai-v1-instruct-q8_0-gguf:Q8_0

Use Docker

docker model run hf.co/Chemin-AI/llama3-8b-cpt-sahabatai-v1-instruct-q8_0-gguf:Q8_0

LM Studio
Jan
Ollama
How to use Chemin-AI/llama3-8b-cpt-sahabatai-v1-instruct-q8_0-gguf with Ollama:
```
ollama run hf.co/Chemin-AI/llama3-8b-cpt-sahabatai-v1-instruct-q8_0-gguf:Q8_0
```
Unsloth Desktop
Docker Model Runner
How to use Chemin-AI/llama3-8b-cpt-sahabatai-v1-instruct-q8_0-gguf with Docker Model Runner:
```
docker model run hf.co/Chemin-AI/llama3-8b-cpt-sahabatai-v1-instruct-q8_0-gguf:Q8_0
```

Lemonade

How to use Chemin-AI/llama3-8b-cpt-sahabatai-v1-instruct-q8_0-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Chemin-AI/llama3-8b-cpt-sahabatai-v1-instruct-q8_0-gguf:Q8_0

Run and chat with the model

lemonade run user.llama3-8b-cpt-sahabatai-v1-instruct-q8_0-gguf-Q8_0

List all available models

lemonade list

Atomic Chat

Supa-AI/llama3-8b-cpt-sahabatai-v1-instruct-q8_0-gguf

This model was converted to GGUF format from GoToCompany/llama3-8b-cpt-sahabatai-v1-instruct using llama.cpp. Refer to the original model card for more details on the model.

Use with llama.cpp

CLI:

llama-cli --hf-repo Supa-AI/llama3-8b-cpt-sahabatai-v1-instruct-q8_0-gguf --hf-file llama3-8b-cpt-sahabatai-v1-instruct.q8_0.gguf -p "Your prompt here"

Server:

llama-server --hf-repo Supa-AI/llama3-8b-cpt-sahabatai-v1-instruct-q8_0-gguf --hf-file llama3-8b-cpt-sahabatai-v1-instruct.q8_0.gguf -c 2048

Model Details

Quantization Type: q8_0
Original Model: GoToCompany/llama3-8b-cpt-sahabatai-v1-instruct
Format: GGUF

Downloads last month: 30

GGUF

Model size

8B params

Architecture

llama

Hardware compatibility

8-bit

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Model tree for Chemin-AI/llama3-8b-cpt-sahabatai-v1-instruct-q8_0-gguf

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Finetuned

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Finetuned

GoToCompany/llama3-8b-cpt-sahabatai-v1-base

Finetuned

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Quantized

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