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README.md
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---
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base_model: humarin/chatgpt_paraphraser_on_T5_base
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datasets:
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- humarin/chatgpt-paraphrases
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language:
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- en
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library_name: transformers
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license: openrail
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pipeline_tag: text2text-generation
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tags:
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- llama-cpp
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- gguf-my-repo
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inference:
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parameters:
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num_beams: 5
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num_beam_groups: 5
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num_return_sequences: 5
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repetition_penalty: 10.01
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diversity_penalty: 3.01
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no_repeat_ngram_size: 2
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temperature: 0.7
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max_length: 128
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widget:
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- text: What are the best places to see in New York?
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example_title: New York tourist attractions
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- text: When should I go to the doctor?
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example_title: Doctor's time
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- text: Rammstein's album Mutter was recorded in the south of France in May and June
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2000, and mixed in Stockholm in October of that year.
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example_title: Rammstein's album Mutter
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---
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# nvhf/chatgpt_paraphraser_on_T5_base-Q6_K-GGUF
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This model was converted to GGUF format from [`humarin/chatgpt_paraphraser_on_T5_base`](https://huggingface.co/humarin/chatgpt_paraphraser_on_T5_base) 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/humarin/chatgpt_paraphraser_on_T5_base) 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 nvhf/chatgpt_paraphraser_on_T5_base-Q6_K-GGUF --hf-file chatgpt_paraphraser_on_t5_base-q6_k.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 nvhf/chatgpt_paraphraser_on_T5_base-Q6_K-GGUF --hf-file chatgpt_paraphraser_on_t5_base-q6_k.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 nvhf/chatgpt_paraphraser_on_T5_base-Q6_K-GGUF --hf-file chatgpt_paraphraser_on_t5_base-q6_k.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 nvhf/chatgpt_paraphraser_on_T5_base-Q6_K-GGUF --hf-file chatgpt_paraphraser_on_t5_base-q6_k.gguf -c 2048
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```
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