---
base_model: Mattimax/DATA-AI_Chat_3_1B
library_name: peft
license: apache-2.0
language:
- it
- en
- es
- ru
- de
- pl
- th
- vi
- sv
- bn
- da
- he
- fa
- sk
- id
- nb
- el
- nl
- hu
- eu
- zh
- eo
- ja
- ca
- cs
- bg
- fi
- pt
- tr
- ro
- ar
- uk
- gl
- fr
- ko
tags:
- human-feedback
- llama
- llama-cpp
- gguf-my-repo
---

# Mattimax/DATA-AI_Chat_3_1B-Q5_K_M-GGUF
This model was converted to GGUF format from [`Mattimax/DATA-AI_Chat_3_1B`](https://huggingface.co/Mattimax/DATA-AI_Chat_3_1B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/Mattimax/DATA-AI_Chat_3_1B) for more details on the model.

## 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 Mattimax/DATA-AI_Chat_3_1B-Q5_K_M-GGUF --hf-file data-ai_chat_3_1b-q5_k_m.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
llama-server --hf-repo Mattimax/DATA-AI_Chat_3_1B-Q5_K_M-GGUF --hf-file data-ai_chat_3_1b-q5_k_m.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 Mattimax/DATA-AI_Chat_3_1B-Q5_K_M-GGUF --hf-file data-ai_chat_3_1b-q5_k_m.gguf -p "The meaning to life and the universe is"
```
or 
```
./llama-server --hf-repo Mattimax/DATA-AI_Chat_3_1B-Q5_K_M-GGUF --hf-file data-ai_chat_3_1b-q5_k_m.gguf -c 2048
```