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Model: HyzeAI/HyzeMini-Q4_0-GGUF
Source: Original Platform

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README.md

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+---
+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-Q4_0-GGUF --hf-file hyzemini-q4_0.gguf -p "The meaning to life and the universe is"
+```
+
+### Server:
+```bash
+llama-server --hf-repo HyzeAI/HyzeMini-Q4_0-GGUF --hf-file hyzemini-q4_0.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-Q4_0-GGUF --hf-file hyzemini-q4_0.gguf -p "The meaning to life and the universe is"
+```
+or
+```
+./llama-server --hf-repo HyzeAI/HyzeMini-Q4_0-GGUF --hf-file hyzemini-q4_0.gguf -c 2048
+```

hyzemini-q4_0.gguf

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