jayakody2000lk
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README.md
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---
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library_name: transformers
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base_model: DISLab/SummLlama3.2-3B
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pipeline_tag: summarization
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widget:
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- text: '<|begin_of_text|><|start_header_id|>user<|end_header_id|>
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Below is an instruction that describes a task. Write a response that appropriately
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completes the request.
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### Instruction:
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Please summarize the input documnet.
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### Input:
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The tower is 324 metres (1,063 ft) tall, about the same height as an 81-storey
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building, and the tallest structure in Paris. Its base is square, measuring 125
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metres (410 ft) on each side. During its construction, the Eiffel Tower surpassed
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the Washington Monument to become the tallest man-made structure in the world,
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a title it held for 41 years until the Chrysler Building in New York City was
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finished in 1930. It was the first structure to reach a height of 300 metres.
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Due to the addition of a broadcasting aerial at the top of the tower in 1957,
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it is now taller than the Chrysler Building by 5.2 metres (17 ft). Excluding transmitters,
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the Eiffel Tower is the second tallest free-standing structure in France after
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the Millau Viaduct.
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### Response:<|eot_id|>'
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tags:
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- llama-cpp
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- gguf-my-repo
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---
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# jayakody2000lk/SummLlama3.2-3B-Q5_K_M-GGUF
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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.
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Refer to the [original model card](https://huggingface.co/DISLab/SummLlama3.2-3B) for more details on the model.
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## Use with llama.cpp
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Install llama.cpp through brew (works on Mac and Linux)
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```bash
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brew install llama.cpp
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```
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Invoke the llama.cpp server or the CLI.
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### CLI:
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```bash
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llama-cli --hf-repo jayakody2000lk/SummLlama3.2-3B-Q5_K_M-GGUF --hf-file summllama3.2-3b-q5_k_m.gguf -p "The meaning to life and the universe is"
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```
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### Server:
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```bash
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llama-server --hf-repo jayakody2000lk/SummLlama3.2-3B-Q5_K_M-GGUF --hf-file summllama3.2-3b-q5_k_m.gguf -c 2048
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```
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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.
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Step 1: Clone llama.cpp from GitHub.
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```
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git clone https://github.com/ggerganov/llama.cpp
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```
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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).
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```
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cd llama.cpp && LLAMA_CURL=1 make
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```
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Step 3: Run inference through the main binary.
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```
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./llama-cli --hf-repo jayakody2000lk/SummLlama3.2-3B-Q5_K_M-GGUF --hf-file summllama3.2-3b-q5_k_m.gguf -p "The meaning to life and the universe is"
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```
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or
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```
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./llama-server --hf-repo jayakody2000lk/SummLlama3.2-3B-Q5_K_M-GGUF --hf-file summllama3.2-3b-q5_k_m.gguf -c 2048
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```
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