| | --- |
| | 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> |
| |
|
| | [](https://tensorblock.co) |
| | [](https://twitter.com/tensorblock_aoi) |
| | [](https://discord.gg/Ej5NmeHFf2) |
| | [](https://github.com/TensorBlock) |
| | [](https://t.me/TensorBlock) |
| |
|
| |
|
| | ## 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). |
| |
|
| | ## Our projects |
| | <table border="1" cellspacing="0" cellpadding="10"> |
| | <tr> |
| | <th colspan="2" style="font-size: 25px;">Forge</th> |
| | </tr> |
| | <tr> |
| | <th colspan="2"> |
| | <img src="https://imgur.com/faI5UKh.jpeg" alt="Forge Project" width="900"/> |
| | </th> |
| | </tr> |
| | <tr> |
| | <th colspan="2">An OpenAI-compatible multi-provider routing layer.</th> |
| | </tr> |
| | <tr> |
| | <th colspan="2"> |
| | <a href="https://github.com/TensorBlock/forge" target="_blank" style=" |
| | display: inline-block; |
| | padding: 8px 16px; |
| | background-color: #FF7F50; |
| | color: white; |
| | text-decoration: none; |
| | border-radius: 6px; |
| | font-weight: bold; |
| | font-family: sans-serif; |
| | ">🚀 Try it now! 🚀</a> |
| | </th> |
| | </tr> |
| | |
| | <tr> |
| | <th style="font-size: 25px;">Awesome MCP Servers</th> |
| | <th style="font-size: 25px;">TensorBlock Studio</th> |
| | </tr> |
| | <tr> |
| | <th><img src="https://imgur.com/2Xov7B7.jpeg" alt="MCP Servers" width="450"/></th> |
| | <th><img src="https://imgur.com/pJcmF5u.jpeg" alt="Studio" width="450"/></th> |
| | </tr> |
| | <tr> |
| | <th>A comprehensive collection of Model Context Protocol (MCP) servers.</th> |
| | <th>A lightweight, open, and extensible multi-LLM interaction studio.</th> |
| | </tr> |
| | <tr> |
| | <th> |
| | <a href="https://github.com/TensorBlock/awesome-mcp-servers" target="_blank" style=" |
| | display: inline-block; |
| | padding: 8px 16px; |
| | background-color: #FF7F50; |
| | color: white; |
| | text-decoration: none; |
| | border-radius: 6px; |
| | font-weight: bold; |
| | font-family: sans-serif; |
| | ">👀 See what we built 👀</a> |
| | </th> |
| | <th> |
| | <a href="https://github.com/TensorBlock/TensorBlock-Studio" target="_blank" style=" |
| | display: inline-block; |
| | padding: 8px 16px; |
| | background-color: #FF7F50; |
| | color: white; |
| | text-decoration: none; |
| | border-radius: 6px; |
| | font-weight: bold; |
| | font-family: sans-serif; |
| | ">👀 See what we built 👀</a> |
| | </th> |
| | </tr> |
| | </table> |
| | ## 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' |
| | ``` |
| | |
