metadata
license: apache-2.0
pipeline_tag: text-generation
library_name: transformers
base_model: ibm-granite/granite-guardian-3.2-5b
tags:
- TensorBlock
- GGUF
ibm-granite/granite-guardian-3.2-5b - GGUF
This repo contains GGUF format model files for ibm-granite/granite-guardian-3.2-5b.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4882.
Our projects
| Forge | |
|---|---|
|
|
| An OpenAI-compatible multi-provider routing layer. | |
| 🚀 Try it now! 🚀 | |
| Awesome MCP Servers | TensorBlock Studio |
 |
 |
| A comprehensive collection of Model Context Protocol (MCP) servers. | A lightweight, open, and extensible multi-LLM interaction studio. |
| 👀 See what we built 👀 | 👀 See what we built 👀 |
<|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 | Q2_K | 2.223 GB | smallest, significant quality loss - not recommended for most purposes |
| 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 | Q3_K_M | 2.845 GB | very small, high quality loss |
| 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 | 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 | Q4_K_S | 3.327 GB | small, greater quality loss |
| 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 | Q5_0 | 4.003 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| 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 | Q5_K_M | 4.108 GB | large, very low quality loss - recommended |
| 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 | Q8_0 | 6.144 GB | very large, extremely low quality loss - not recommended |
Downloading instruction
Command line
Firstly, install Huggingface Client
pip install -U "huggingface_hub[cli]"
Then, downoad the individual model file the a local directory
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:
huggingface-cli download tensorblock/granite-guardian-3.2-5b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'