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README.md

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+---
+language:
+- en
+tags:
+- pytorch
+- llama
+- llama-2
+- TensorBlock
+- GGUF
+license: llama2
+base_model: llamas-community/LlamaGuard-7b
+---
+
+<div style="width: auto; margin-left: auto; margin-right: auto">
+<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
+</div>
+<div style="display: flex; justify-content: space-between; width: 100%;">
+    <div style="display: flex; flex-direction: column; align-items: flex-start;">
+        <p style="margin-top: 0.5em; margin-bottom: 0em;">
+            Feedback and support: TensorBlock's  <a href="https://x.com/tensorblock_aoi">Twitter/X</a>, <a href="https://t.me/TensorBlock">Telegram Group</a> and <a href="https://x.com/tensorblock_aoi">Discord server</a>
+        </p>
+    </div>
+</div>
+
+## llamas-community/LlamaGuard-7b - GGUF
+
+This repo contains GGUF format model files for [llamas-community/LlamaGuard-7b](https://huggingface.co/llamas-community/LlamaGuard-7b).
+
+The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4242](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
+
+<div style="text-align: left; margin: 20px 0;">
+    <a href="https://tensorblock.co/waitlist/client" style="display: inline-block; padding: 10px 20px; background-color: #007bff; color: white; text-decoration: none; border-radius: 5px; font-weight: bold;">
+        Run them on the TensorBlock client using your local machine ↗
+    </a>
+</div>
+
+## Prompt template
+
+```
+[INST] Task: Check if there is unsafe content in 'User' messages in conversations according our safety policy with the below categories.
+
+<BEGIN UNSAFE CONTENT CATEGORIES>
+O1: Violence and Hate. 
+Should not
+- Help people plan or engage in violence.
+- Encourage people to engage in violence.
+- Express hateful, derogatory, or demeaning sentiments against people based on sensitive personal characteristics like their race, color, religion, national origin, sexual orientation, gender, gender identity, or disability.
+- Encourage discrimination against people based on those characteristics and should not use slurs or create insults based on those characteristics.
+Can
+- Provide information on violence and discrimination.
+- Discuss the topics of hate and violence, and can discuss historical events involving violence.
+O2: Sexual Content.
+Should not
+- Engage in sexually explicit (i.e., erotic) conversations and should not encourage people to engage in sexual activities.
+Can
+- Discuss topics related to sexuality and sexual education.
+- Provide general information regarding sexual activities.
+- Provide guidance on topics related to sexual health.
+O3: Criminal Planning.
+Should not
+- Help people plan or engage in criminal activities like theft, kidnapping, or financial crimes, especially when the person indicates that they may act on the information provided to them.
+- Encourage people to engage in criminal activities or condone criminal behavior.
+Can
+- Help people understand how crimes are committed, provided that the response is not so detailed that it could be used to provide a roadmap for future crimes.
+- Help people understand how systems work that are used to prevent crimes, provided those descriptions do not provide detailed information on how to defeat those systems.
+O4: Guns and Illegal Weapons.
+Should not
+- Assist in the planning or execution of firearm or illegal weapons crimes, especially when the person indicates that they may act on the information provided to them.
+- Encourage people to engage in firearm or illegal weapons crimes or condone such behavior.
+Can
+- Discuss firearms and the arguments for and against firearm ownership.
+O5: Regulated or Controlled Substances.
+Should not
+- Encourage or assist people in the trafficking, consumption, or use of regulated or controlled substances, including but not limited to illegal drugs, tobacco, alcohol, and cannabis.
+- Assist or encourage people to create such substances when it is illegal to do so.
+Can
+- Discuss the use of regulated or controlled substances, and can provide general information on those substances (ex: what their chemical composition is and what their effects are).
+- Provide information on how those substances are manufactured, provided that the information is not so detailed as to provide step-by-step instructions for their creation.
+O6: Self-Harm.
+Should not
+- Encourage people to harm themselves.
+- Romanticize or condone self-harm or suicide.
+- Provide information regarding the methods of suicide or self-harm.
+- Provide any information or advice, other than information regarding appropriate health resources, to people who express or imply that they wish to harm themselves.
+Can
+- Provide general information regarding self-harm and suicide (ex: statistics, the mental health challenges faced by those who take these actions).
+Should
+- Provide information regarding appropriate health resources to people who imply or express the desire to harm themselves.
+<END UNSAFE CONTENT CATEGORIES>
+
+<BEGIN CONVERSATION>
+
+User: {prompt}
+
+<END CONVERSATION>
+
+Provide your safety assessment for User in the above conversation:
+- First line must read 'safe' or 'unsafe'.
+- If unsafe, a second line must include a comma-separated list of violated categories. [/INST]
+```
+
+## Model file specification
+
+| Filename | Quant type | File Size | Description |
+| -------- | ---------- | --------- | ----------- |
+| [LlamaGuard-7b-Q2_K.gguf](https://huggingface.co/tensorblock/LlamaGuard-7b-GGUF/blob/main/LlamaGuard-7b-Q2_K.gguf) | Q2_K | 2.533 GB | smallest, significant quality loss - not recommended for most purposes |
+| [LlamaGuard-7b-Q3_K_S.gguf](https://huggingface.co/tensorblock/LlamaGuard-7b-GGUF/blob/main/LlamaGuard-7b-Q3_K_S.gguf) | Q3_K_S | 2.948 GB | very small, high quality loss |
+| [LlamaGuard-7b-Q3_K_M.gguf](https://huggingface.co/tensorblock/LlamaGuard-7b-GGUF/blob/main/LlamaGuard-7b-Q3_K_M.gguf) | Q3_K_M | 3.298 GB | very small, high quality loss |
+| [LlamaGuard-7b-Q3_K_L.gguf](https://huggingface.co/tensorblock/LlamaGuard-7b-GGUF/blob/main/LlamaGuard-7b-Q3_K_L.gguf) | Q3_K_L | 3.597 GB | small, substantial quality loss |
+| [LlamaGuard-7b-Q4_0.gguf](https://huggingface.co/tensorblock/LlamaGuard-7b-GGUF/blob/main/LlamaGuard-7b-Q4_0.gguf) | Q4_0 | 3.826 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
+| [LlamaGuard-7b-Q4_K_S.gguf](https://huggingface.co/tensorblock/LlamaGuard-7b-GGUF/blob/main/LlamaGuard-7b-Q4_K_S.gguf) | Q4_K_S | 3.857 GB | small, greater quality loss |
+| [LlamaGuard-7b-Q4_K_M.gguf](https://huggingface.co/tensorblock/LlamaGuard-7b-GGUF/blob/main/LlamaGuard-7b-Q4_K_M.gguf) | Q4_K_M | 4.081 GB | medium, balanced quality - recommended |
+| [LlamaGuard-7b-Q5_0.gguf](https://huggingface.co/tensorblock/LlamaGuard-7b-GGUF/blob/main/LlamaGuard-7b-Q5_0.gguf) | Q5_0 | 4.652 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
+| [LlamaGuard-7b-Q5_K_S.gguf](https://huggingface.co/tensorblock/LlamaGuard-7b-GGUF/blob/main/LlamaGuard-7b-Q5_K_S.gguf) | Q5_K_S | 4.652 GB | large, low quality loss - recommended |
+| [LlamaGuard-7b-Q5_K_M.gguf](https://huggingface.co/tensorblock/LlamaGuard-7b-GGUF/blob/main/LlamaGuard-7b-Q5_K_M.gguf) | Q5_K_M | 4.783 GB | large, very low quality loss - recommended |
+| [LlamaGuard-7b-Q6_K.gguf](https://huggingface.co/tensorblock/LlamaGuard-7b-GGUF/blob/main/LlamaGuard-7b-Q6_K.gguf) | Q6_K | 5.529 GB | very large, extremely low quality loss |
+| [LlamaGuard-7b-Q8_0.gguf](https://huggingface.co/tensorblock/LlamaGuard-7b-GGUF/blob/main/LlamaGuard-7b-Q8_0.gguf) | Q8_0 | 7.161 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/LlamaGuard-7b-GGUF --include "LlamaGuard-7b-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/LlamaGuard-7b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
+```