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---
license: other
license_name: nvidia-open-model-license-agreement
license_link: https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/
library_name: transformers
base_model: nvidia/Riva-Translate-4B-Instruct
tags:
- TensorBlock
- GGUF
---

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## nvidia/Riva-Translate-4B-Instruct - GGUF

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        Join our Discord to learn more about what we're building ↗
    </a>
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This repo contains GGUF format model files for [nvidia/Riva-Translate-4B-Instruct](https://huggingface.co/nvidia/Riva-Translate-4B-Instruct).

The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b5753](https://github.com/ggml-org/llama.cpp/commit/73e53dc834c0a2336cd104473af6897197b96277).

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## Prompt template

```
<s>System
You are a translation expert.</s>
<s>User
{prompt}</s>
<s>Assistant
```

## Model file specification

| Filename | Quant type | File Size | Description |
| -------- | ---------- | --------- | ----------- |
| [Riva-Translate-4B-Instruct-Q2_K.gguf](https://huggingface.co/tensorblock/nvidia_Riva-Translate-4B-Instruct-GGUF/blob/main/Riva-Translate-4B-Instruct-Q2_K.gguf) | Q2_K | 1.858 GB | smallest, significant quality loss - not recommended for most purposes |
| [Riva-Translate-4B-Instruct-Q3_K_S.gguf](https://huggingface.co/tensorblock/nvidia_Riva-Translate-4B-Instruct-GGUF/blob/main/Riva-Translate-4B-Instruct-Q3_K_S.gguf) | Q3_K_S | 2.082 GB | very small, high quality loss |
| [Riva-Translate-4B-Instruct-Q3_K_M.gguf](https://huggingface.co/tensorblock/nvidia_Riva-Translate-4B-Instruct-GGUF/blob/main/Riva-Translate-4B-Instruct-Q3_K_M.gguf) | Q3_K_M | 2.270 GB | very small, high quality loss |
| [Riva-Translate-4B-Instruct-Q3_K_L.gguf](https://huggingface.co/tensorblock/nvidia_Riva-Translate-4B-Instruct-GGUF/blob/main/Riva-Translate-4B-Instruct-Q3_K_L.gguf) | Q3_K_L | 2.389 GB | small, substantial quality loss |
| [Riva-Translate-4B-Instruct-Q4_0.gguf](https://huggingface.co/tensorblock/nvidia_Riva-Translate-4B-Instruct-GGUF/blob/main/Riva-Translate-4B-Instruct-Q4_0.gguf) | Q4_0 | 2.464 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| [Riva-Translate-4B-Instruct-Q4_K_S.gguf](https://huggingface.co/tensorblock/nvidia_Riva-Translate-4B-Instruct-GGUF/blob/main/Riva-Translate-4B-Instruct-Q4_K_S.gguf) | Q4_K_S | 2.585 GB | small, greater quality loss |
| [Riva-Translate-4B-Instruct-Q4_K_M.gguf](https://huggingface.co/tensorblock/nvidia_Riva-Translate-4B-Instruct-GGUF/blob/main/Riva-Translate-4B-Instruct-Q4_K_M.gguf) | Q4_K_M | 2.759 GB | medium, balanced quality - recommended |
| [Riva-Translate-4B-Instruct-Q5_0.gguf](https://huggingface.co/tensorblock/nvidia_Riva-Translate-4B-Instruct-GGUF/blob/main/Riva-Translate-4B-Instruct-Q5_0.gguf) | Q5_0 | 2.936 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| [Riva-Translate-4B-Instruct-Q5_K_S.gguf](https://huggingface.co/tensorblock/nvidia_Riva-Translate-4B-Instruct-GGUF/blob/main/Riva-Translate-4B-Instruct-Q5_K_S.gguf) | Q5_K_S | 2.992 GB | large, low quality loss - recommended |
| [Riva-Translate-4B-Instruct-Q5_K_M.gguf](https://huggingface.co/tensorblock/nvidia_Riva-Translate-4B-Instruct-GGUF/blob/main/Riva-Translate-4B-Instruct-Q5_K_M.gguf) | Q5_K_M | 3.140 GB | large, very low quality loss - recommended |
| [Riva-Translate-4B-Instruct-Q6_K.gguf](https://huggingface.co/tensorblock/nvidia_Riva-Translate-4B-Instruct-GGUF/blob/main/Riva-Translate-4B-Instruct-Q6_K.gguf) | Q6_K | 3.656 GB | very large, extremely low quality loss |
| [Riva-Translate-4B-Instruct-Q8_0.gguf](https://huggingface.co/tensorblock/nvidia_Riva-Translate-4B-Instruct-GGUF/blob/main/Riva-Translate-4B-Instruct-Q8_0.gguf) | Q8_0 | 4.449 GB | very large, extremely low quality loss - not recommended |


## Downloading instruction

### Command line

Firstly, install Huggingface Client

```shell
pip install -U "huggingface_hub[cli]"
```

Then, downoad the individual model file the a local directory

```shell
huggingface-cli download tensorblock/nvidia_Riva-Translate-4B-Instruct-GGUF --include "Riva-Translate-4B-Instruct-Q2_K.gguf" --local-dir MY_LOCAL_DIR
```

If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:

```shell
huggingface-cli download tensorblock/nvidia_Riva-Translate-4B-Instruct-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
```