Instructions to use CyberNative-AI/Colibri_8b_v0.1_q5_gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use CyberNative-AI/Colibri_8b_v0.1_q5_gguf with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf CyberNative-AI/Colibri_8b_v0.1_q5_gguf:Q5_K_M # Run inference directly in the terminal: llama cli -hf CyberNative-AI/Colibri_8b_v0.1_q5_gguf:Q5_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf CyberNative-AI/Colibri_8b_v0.1_q5_gguf:Q5_K_M # Run inference directly in the terminal: llama cli -hf CyberNative-AI/Colibri_8b_v0.1_q5_gguf:Q5_K_M
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf CyberNative-AI/Colibri_8b_v0.1_q5_gguf:Q5_K_M # Run inference directly in the terminal: ./llama-cli -hf CyberNative-AI/Colibri_8b_v0.1_q5_gguf:Q5_K_M
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf CyberNative-AI/Colibri_8b_v0.1_q5_gguf:Q5_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf CyberNative-AI/Colibri_8b_v0.1_q5_gguf:Q5_K_M
Use Docker
docker model run hf.co/CyberNative-AI/Colibri_8b_v0.1_q5_gguf:Q5_K_M
- LM Studio
- Jan
- Ollama
How to use CyberNative-AI/Colibri_8b_v0.1_q5_gguf with Ollama:
ollama run hf.co/CyberNative-AI/Colibri_8b_v0.1_q5_gguf:Q5_K_M
- Unsloth Desktop
- Docker Model Runner
How to use CyberNative-AI/Colibri_8b_v0.1_q5_gguf with Docker Model Runner:
docker model run hf.co/CyberNative-AI/Colibri_8b_v0.1_q5_gguf:Q5_K_M
- Lemonade
How to use CyberNative-AI/Colibri_8b_v0.1_q5_gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull CyberNative-AI/Colibri_8b_v0.1_q5_gguf:Q5_K_M
Run and chat with the model
lemonade run user.Colibri_8b_v0.1_q5_gguf-Q5_K_M
List all available models
lemonade list
- Atomic Chat
|
Download README.md from CyberNative-AI/Colibri_8b_v0.1_q5_gguf: direct link, hf CLI and curl.
- Browser
- Download file 2.23 kB
-
https://huggingface.co/CyberNative-AI/Colibri_8b_v0.1_q5_gguf/resolve/main/README.md
- Command line
-
hf download hf://CyberNative-AI/Colibri_8b_v0.1_q5_gguf/README.md
-
curl -L -o README.md https://huggingface.co/CyberNative-AI/Colibri_8b_v0.1_q5_gguf/resolve/main/README.md
2.23 kB
| license: llama3 | |
| # Llama 3 Colibri 8B v0.1 Q5 GGUF | |
| ## Built with Meta Llama 3 | |
| This is a Q5 GGUF quantization of [Llama 3 Colibri 8B v0.1](https://huggingface.co/CyberNative-AI/Colibri_8b_v0.1). | |
| ## Provenance limitation | |
| The source model card previously claimed a training corpus of around 35k Q/A pairs derived from cybersecurity-related texts. CyberNative AI cannot currently evidence the source corpus, source URLs, rights holders, licenses, or transformation records for those pairs. Provenance is unverified. Do not infer a rights basis for those pairs from this card. | |
| ## Known-risk and acceptable-use notice | |
| Repository records previously reported Dolphin 2.9 Llama 3 8B as the upstream model for the source model, but CyberNative AI cannot currently verify that lineage from a primary training or weight-lineage record. Its public model card describes it as uncensored; conservatively, this model may produce unsafe, inaccurate, or inappropriate cybersecurity content. Do not use it for illegal, malicious, or harmful activity. Use of Meta Llama 3 is subject to the [Meta Llama 3 Acceptable Use Policy](https://llama.meta.com/llama3/use-policy). | |
| ## What you download, and how to prompt it | |
| One file, `colibri_ggml-model-Q5_K_M.gguf`, 5,732,999,488 bytes. The GGUF header reports architecture `llama`, 8,030,277,632 parameters, a context length of 8192, and an end-of-turn token of `<|im_end|>`. | |
| Prompts use ChatML, not the stock Llama 3 instruct format: | |
| ``` | |
| <|im_start|>system | |
| You are Colibri, an advanced cybersecurity AI assistant developed by CyberNative AI.<|im_end|> | |
| <|im_start|>user | |
| {prompt}<|im_end|> | |
| <|im_start|>assistant | |
| ``` | |
| That template is also embedded in the file, so a runner that reads the GGUF chat template applies it for you; if yours does not, set the format above and stop generation on `<|im_end|>`. | |
| Every number in this section comes from the file's own header: | |
| ``` | |
| curl -sL https://huggingface.co/api/models/CyberNative-AI/Colibri_8b_v0.1_q5_gguf | jq .gguf | |
| ``` | |
| ## License and notice | |
| The [Meta Llama 3 Community License Agreement](LICENSE) is distributed with this repository. The required attribution is in [NOTICE](NOTICE). | |
| ## Contact | |
| CyberNative AI LLC — hello@cybernative.ai | |