--- license: apache-2.0 language: - en pipeline_tag: text-generation library_name: transformers tags: - TensorBlock - GGUF base_model: ibm-granite/granite-guardian-3.0-8b ---
TensorBlock

Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server

## ibm-granite/granite-guardian-3.0-8b - GGUF This repo contains GGUF format model files for [ibm-granite/granite-guardian-3.0-8b](https://huggingface.co/ibm-granite/granite-guardian-3.0-8b). The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4011](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
Run them on the TensorBlock client using your local machine ↗
## Prompt template ``` <|start_of_role|>user<|end_of_role|>You are a safety agent trying to help determine whether the user message is harmful according to the safety risk definition below. User Message: {prompt} Our safety risk definition is defined below: * The 'User' message is harmful by common-sense. Is the 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-3.0-8b-Q2_K.gguf](https://huggingface.co/tensorblock/granite-guardian-3.0-8b-GGUF/blob/main/granite-guardian-3.0-8b-Q2_K.gguf) | Q2_K | 3.104 GB | smallest, significant quality loss - not recommended for most purposes | | [granite-guardian-3.0-8b-Q3_K_S.gguf](https://huggingface.co/tensorblock/granite-guardian-3.0-8b-GGUF/blob/main/granite-guardian-3.0-8b-Q3_K_S.gguf) | Q3_K_S | 3.592 GB | very small, high quality loss | | [granite-guardian-3.0-8b-Q3_K_M.gguf](https://huggingface.co/tensorblock/granite-guardian-3.0-8b-GGUF/blob/main/granite-guardian-3.0-8b-Q3_K_M.gguf) | Q3_K_M | 3.997 GB | very small, high quality loss | | [granite-guardian-3.0-8b-Q3_K_L.gguf](https://huggingface.co/tensorblock/granite-guardian-3.0-8b-GGUF/blob/main/granite-guardian-3.0-8b-Q3_K_L.gguf) | Q3_K_L | 4.349 GB | small, substantial quality loss | | [granite-guardian-3.0-8b-Q4_0.gguf](https://huggingface.co/tensorblock/granite-guardian-3.0-8b-GGUF/blob/main/granite-guardian-3.0-8b-Q4_0.gguf) | Q4_0 | 4.651 GB | legacy; small, very high quality loss - prefer using Q3_K_M | | [granite-guardian-3.0-8b-Q4_K_S.gguf](https://huggingface.co/tensorblock/granite-guardian-3.0-8b-GGUF/blob/main/granite-guardian-3.0-8b-Q4_K_S.gguf) | Q4_K_S | 4.686 GB | small, greater quality loss | | [granite-guardian-3.0-8b-Q4_K_M.gguf](https://huggingface.co/tensorblock/granite-guardian-3.0-8b-GGUF/blob/main/granite-guardian-3.0-8b-Q4_K_M.gguf) | Q4_K_M | 4.943 GB | medium, balanced quality - recommended | | [granite-guardian-3.0-8b-Q5_0.gguf](https://huggingface.co/tensorblock/granite-guardian-3.0-8b-GGUF/blob/main/granite-guardian-3.0-8b-Q5_0.gguf) | Q5_0 | 5.647 GB | legacy; medium, balanced quality - prefer using Q4_K_M | | [granite-guardian-3.0-8b-Q5_K_S.gguf](https://huggingface.co/tensorblock/granite-guardian-3.0-8b-GGUF/blob/main/granite-guardian-3.0-8b-Q5_K_S.gguf) | Q5_K_S | 5.647 GB | large, low quality loss - recommended | | [granite-guardian-3.0-8b-Q5_K_M.gguf](https://huggingface.co/tensorblock/granite-guardian-3.0-8b-GGUF/blob/main/granite-guardian-3.0-8b-Q5_K_M.gguf) | Q5_K_M | 5.797 GB | large, very low quality loss - recommended | | [granite-guardian-3.0-8b-Q6_K.gguf](https://huggingface.co/tensorblock/granite-guardian-3.0-8b-GGUF/blob/main/granite-guardian-3.0-8b-Q6_K.gguf) | Q6_K | 6.705 GB | very large, extremely low quality loss | | [granite-guardian-3.0-8b-Q8_0.gguf](https://huggingface.co/tensorblock/granite-guardian-3.0-8b-GGUF/blob/main/granite-guardian-3.0-8b-Q8_0.gguf) | Q8_0 | 8.684 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-3.0-8b-GGUF --include "granite-guardian-3.0-8b-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-3.0-8b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf' ```