metadata

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 using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

Use with llama.cpp

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

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

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:

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 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"

./llama-server --hf-repo dil99x/SummLlama3.2-3B-Q2_K-GGUF --hf-file summllama3.2-3b-q2_k.gguf -c 2048