README.md

---
license: apache-2.0
language:
- en
pipeline_tag: text-generation
tags:
- text-generation-inference
- code
- Hitesh_V_Founder
- https://chat.hyze.dev
- llama-cpp
- gguf-my-repo
base_model: HyzeAI/HyzeMini
---
<p align="center">
  <img src="https://i.imgur.com/ePJMLNp.png" alt="Hyze Logo" width="405"/>
</p>

<h1 align="center">HyzeMini</h1>

<p align="center">
  A quantized lightweight text-generation model by <b>Hyze AI</b>
</p>

<p align="center">
  🔗 <a href="https://chat.hyze.dev">Chat with all models</a> •  
  📘 <a href="https://academy.hyze.dev">HyzeAcademy</a> •  
  🧠 <a href="https://note.hyze.dev">HyzeNote (NotebookLM alternate)</a>
</p>

## Use with llama.cpp
Install llama.cpp through brew (works on Mac and Linux)

```bash
brew install llama.cpp

```
Invoke the llama.cpp server or the CLI.

### CLI:
```bash
llama-cli --hf-repo HyzeAI/HyzeMini-Q3_K_L-GGUF --hf-file hyzemini-q3_k_l.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
llama-server --hf-repo HyzeAI/HyzeMini-Q3_K_L-GGUF --hf-file hyzemini-q3_k_l.gguf -c 2048
```

Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.

Step 1: Clone llama.cpp from GitHub.
```
git clone https://github.com/ggerganov/llama.cpp
```

Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
```
cd llama.cpp && LLAMA_CURL=1 make
```

Step 3: Run inference through the main binary.
```
./llama-cli --hf-repo HyzeAI/HyzeMini-Q3_K_L-GGUF --hf-file hyzemini-q3_k_l.gguf -p "The meaning to life and the universe is"
```
or
```
./llama-server --hf-repo HyzeAI/HyzeMini-Q3_K_L-GGUF --hf-file hyzemini-q3_k_l.gguf -c 2048
```