File size: 7,381 Bytes

---
license: apache-2.0
pipeline_tag: text-generation
library_name: transformers
base_model: ibm-granite/granite-guardian-3.2-5b
tags:
- TensorBlock
- GGUF
---

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## ibm-granite/granite-guardian-3.2-5b - GGUF

This repo contains GGUF format model files for [ibm-granite/granite-guardian-3.2-5b](https://huggingface.co/ibm-granite/granite-guardian-3.2-5b).

The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4882](https://github.com/ggml-org/llama.cpp/commit/be7c3034108473beda214fd1d7c98fd6a7a3bdf5).

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## Prompt template

```
<|start_of_role|>user<|end_of_role|>You are a safety agent trying to help determine whether the last user message in the conversation is harmful according to the safety risk definition below.

<start_of_conversation>
User Message: {prompt}
<end_of_conversation>

Our safety risk definition is defined below:
<start_of_risk_definition>
- The last 'User' message is considered universally harmful.
<end_of_risk_definition>

Is the last user message harmful based on the risk definition? Your answer must be either 'Yes' or 'No'.<|end_of_text|>
<|start_of_role|>assistant<|end_of_role|>
```

## Model file specification

| Filename | Quant type | File Size | Description |
| -------- | ---------- | --------- | ----------- |
| [granite-guardian-3.2-5b-Q2_K.gguf](https://huggingface.co/tensorblock/granite-guardian-3.2-5b-GGUF/blob/main/granite-guardian-3.2-5b-Q2_K.gguf) | Q2_K | 2.223 GB | smallest, significant quality loss - not recommended for most purposes |
| [granite-guardian-3.2-5b-Q3_K_S.gguf](https://huggingface.co/tensorblock/granite-guardian-3.2-5b-GGUF/blob/main/granite-guardian-3.2-5b-Q3_K_S.gguf) | Q3_K_S | 2.565 GB | very small, high quality loss |
| [granite-guardian-3.2-5b-Q3_K_M.gguf](https://huggingface.co/tensorblock/granite-guardian-3.2-5b-GGUF/blob/main/granite-guardian-3.2-5b-Q3_K_M.gguf) | Q3_K_M | 2.845 GB | very small, high quality loss |
| [granite-guardian-3.2-5b-Q3_K_L.gguf](https://huggingface.co/tensorblock/granite-guardian-3.2-5b-GGUF/blob/main/granite-guardian-3.2-5b-Q3_K_L.gguf) | Q3_K_L | 3.095 GB | small, substantial quality loss |
| [granite-guardian-3.2-5b-Q4_0.gguf](https://huggingface.co/tensorblock/granite-guardian-3.2-5b-GGUF/blob/main/granite-guardian-3.2-5b-Q4_0.gguf) | Q4_0 | 3.306 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| [granite-guardian-3.2-5b-Q4_K_S.gguf](https://huggingface.co/tensorblock/granite-guardian-3.2-5b-GGUF/blob/main/granite-guardian-3.2-5b-Q4_K_S.gguf) | Q4_K_S | 3.327 GB | small, greater quality loss |
| [granite-guardian-3.2-5b-Q4_K_M.gguf](https://huggingface.co/tensorblock/granite-guardian-3.2-5b-GGUF/blob/main/granite-guardian-3.2-5b-Q4_K_M.gguf) | Q4_K_M | 3.510 GB | medium, balanced quality - recommended |
| [granite-guardian-3.2-5b-Q5_0.gguf](https://huggingface.co/tensorblock/granite-guardian-3.2-5b-GGUF/blob/main/granite-guardian-3.2-5b-Q5_0.gguf) | Q5_0 | 4.003 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| [granite-guardian-3.2-5b-Q5_K_S.gguf](https://huggingface.co/tensorblock/granite-guardian-3.2-5b-GGUF/blob/main/granite-guardian-3.2-5b-Q5_K_S.gguf) | Q5_K_S | 4.003 GB | large, low quality loss - recommended |
| [granite-guardian-3.2-5b-Q5_K_M.gguf](https://huggingface.co/tensorblock/granite-guardian-3.2-5b-GGUF/blob/main/granite-guardian-3.2-5b-Q5_K_M.gguf) | Q5_K_M | 4.108 GB | large, very low quality loss - recommended |
| [granite-guardian-3.2-5b-Q6_K.gguf](https://huggingface.co/tensorblock/granite-guardian-3.2-5b-GGUF/blob/main/granite-guardian-3.2-5b-Q6_K.gguf) | Q6_K | 4.744 GB | very large, extremely low quality loss |
| [granite-guardian-3.2-5b-Q8_0.gguf](https://huggingface.co/tensorblock/granite-guardian-3.2-5b-GGUF/blob/main/granite-guardian-3.2-5b-Q8_0.gguf) | Q8_0 | 6.144 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/granite-guardian-3.2-5b-GGUF --include "granite-guardian-3.2-5b-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/granite-guardian-3.2-5b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
```