Instructions to use nguyen1207/Vistral-7B-MT-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use nguyen1207/Vistral-7B-MT-GGUF with Transformers:

# Use a pipeline as a high-level helper
# Warning: Pipeline type "translation" is no longer supported in transformers v5.
# You must load the model directly (see below) or downgrade to v4.x with:
# 'pip install "transformers<5.0.0'
from transformers import pipeline

pipe = pipeline("translation", model="nguyen1207/Vistral-7B-MT-GGUF")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("nguyen1207/Vistral-7B-MT-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use nguyen1207/Vistral-7B-MT-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 nguyen1207/Vistral-7B-MT-GGUF:F16
# Run inference directly in the terminal:
llama cli -hf nguyen1207/Vistral-7B-MT-GGUF:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf nguyen1207/Vistral-7B-MT-GGUF:F16
# Run inference directly in the terminal:
llama cli -hf nguyen1207/Vistral-7B-MT-GGUF: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 nguyen1207/Vistral-7B-MT-GGUF:F16
# Run inference directly in the terminal:
./llama-cli -hf nguyen1207/Vistral-7B-MT-GGUF: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 nguyen1207/Vistral-7B-MT-GGUF:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf nguyen1207/Vistral-7B-MT-GGUF:F16

Use Docker

docker model run hf.co/nguyen1207/Vistral-7B-MT-GGUF:F16

LM Studio
Jan
Ollama
How to use nguyen1207/Vistral-7B-MT-GGUF with Ollama:
```
ollama run hf.co/nguyen1207/Vistral-7B-MT-GGUF:F16
```
Unsloth Desktop
Docker Model Runner
How to use nguyen1207/Vistral-7B-MT-GGUF with Docker Model Runner:
```
docker model run hf.co/nguyen1207/Vistral-7B-MT-GGUF:F16
```

Lemonade

How to use nguyen1207/Vistral-7B-MT-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull nguyen1207/Vistral-7B-MT-GGUF:F16

Run and chat with the model

lemonade run user.Vistral-7B-MT-GGUF-F16

List all available models

lemonade list

Atomic Chat

Model info

Fine-tuned from model Viet-Mistral/Vistral-7B-Chat for Vietnamese to English translation task with the capability of understanding Vietnamese social media teencode and slang.

Detailed information comming soon.

Uploaded model

Developed by: nguyen1207
License: apache-2.0
Finetuned from model : Viet-Mistral/Vistral-7B-Chat

This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.

Downloads last month: 37

GGUF

Model size

7B params

Architecture

llama

Hardware compatibility

4-bit

16-bit

Model tree for nguyen1207/Vistral-7B-MT-GGUF

Base model

Viet-Mistral/Vistral-7B-Chat

Quantized

(15)

this model

nguyen1207
/

Vistral-7B-MT-GGUF

Model info

Uploaded model

Model tree for nguyen1207/Vistral-7B-MT-GGUF

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