---
library_name: transformers
base_model: DISLab/SummLlama3.2-3B
pipeline_tag: summarization
widget:
- text: '<|begin_of_text|><|start_header_id|>user<|end_header_id|>

    Below is an instruction that describes a task. Write a response that appropriately
    completes the request.


    ### Instruction:

    Please summarize the input documnet.


    ### Input:

    The tower is 324 metres (1,063 ft) tall, about the same height as an 81-storey
    building, and the tallest structure in Paris. Its base is square, measuring 125
    metres (410 ft) on each side. During its construction, the Eiffel Tower surpassed
    the Washington Monument to become the tallest man-made structure in the world,
    a title it held for 41 years until the Chrysler Building in New York City was
    finished in 1930. It was the first structure to reach a height of 300 metres.
    Due to the addition of a broadcasting aerial at the top of the tower in 1957,
    it is now taller than the Chrysler Building by 5.2 metres (17 ft). Excluding transmitters,
    the Eiffel Tower is the second tallest free-standing structure in France after
    the Millau Viaduct.


    ### Response:<|eot_id|>'
tags:
- llama-cpp
- gguf-my-repo
---

# dil99x/SummLlama3.2-3B-Q2_K-GGUF
This model was converted to GGUF format from [`DISLab/SummLlama3.2-3B`](https://huggingface.co/DISLab/SummLlama3.2-3B) 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/DISLab/SummLlama3.2-3B) 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 dil99x/SummLlama3.2-3B-Q2_K-GGUF --hf-file summllama3.2-3b-q2_k.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
llama-server --hf-repo dil99x/SummLlama3.2-3B-Q2_K-GGUF --hf-file summllama3.2-3b-q2_k.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 dil99x/SummLlama3.2-3B-Q2_K-GGUF --hf-file summllama3.2-3b-q2_k.gguf -p "The meaning to life and the universe is"
```
or 
```
./llama-server --hf-repo dil99x/SummLlama3.2-3B-Q2_K-GGUF --hf-file summllama3.2-3b-q2_k.gguf -c 2048
```