---
license: apache-2.0
language:
- en
- zh
- ar
- de
- es
- fr
- ko
- ja
- pt
- tr
- id
- it
- nl
- pl
- ru
- vi
- th
- he
- uk
- ms
- bn
- cs
- ur
- kk
- el
- ro
- hu
- ne
- az
library_name: transformers
tags:
- moe
- mixture-of-experts
- multilingual
- upcycling
- on-policy distillation
- llama-cpp
- gguf-my-repo
datasets:
- allenai/Dolci-Instruct-SFT
- nvidia/Nemotron-Cascade-2-SFT-Data
- nvidia/Nemotron-RL-instruction_following
- nvidia/Nemotron-RL-instruction_following-structured_outputs
- nvidia/Nemotron-RL-ReasoningGym-v1
- nvidia/Nemotron-RL-knowledge-mcqa
- nvidia/Nemotron-Cascade-RL-RLHF
- BytedTsinghua-SIA/DAPO-Math-17k
- Skywork/Skywork-OR1-RL-Data
- nvidia/Nemotron-SFT-Multilingual-v1
base_model: AIDC-AI/Marco-Mini-Instruct
---

# Disya/Marco-Mini-Instruct-Q4_0-GGUF
This model was converted to GGUF format from [`AIDC-AI/Marco-Mini-Instruct`](https://huggingface.co/AIDC-AI/Marco-Mini-Instruct) 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/AIDC-AI/Marco-Mini-Instruct) 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 Disya/Marco-Mini-Instruct-Q4_0-GGUF --hf-file marco-mini-instruct-q4_0.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
llama-server --hf-repo Disya/Marco-Mini-Instruct-Q4_0-GGUF --hf-file marco-mini-instruct-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 Disya/Marco-Mini-Instruct-Q4_0-GGUF --hf-file marco-mini-instruct-q4_0.gguf -p "The meaning to life and the universe is"
```
or 
```
./llama-server --hf-repo Disya/Marco-Mini-Instruct-Q4_0-GGUF --hf-file marco-mini-instruct-q4_0.gguf -c 2048
```