README.md

---
base_model: humarin/chatgpt_paraphraser_on_T5_base
datasets:
- humarin/chatgpt-paraphrases
language:
- en
library_name: transformers
license: openrail
pipeline_tag: text2text-generation
tags:
- llama-cpp
- gguf-my-repo
inference:
  parameters:
    num_beams: 5
    num_beam_groups: 5
    num_return_sequences: 5
    repetition_penalty: 10.01
    diversity_penalty: 3.01
    no_repeat_ngram_size: 2
    temperature: 0.7
    max_length: 128
widget:
- text: What are the best places to see in New York?
  example_title: New York tourist attractions
- text: When should I go to the doctor?
  example_title: Doctor's time
- text: Rammstein's album Mutter was recorded in the south of France in May and June
    2000, and mixed in Stockholm in October of that year.
  example_title: Rammstein's album Mutter
---

# nvhf/chatgpt_paraphraser_on_T5_base-Q6_K-GGUF
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.
Refer to the [original model card](https://huggingface.co/humarin/chatgpt_paraphraser_on_T5_base) 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 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"
```

### Server:
```bash
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
```

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 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"
```
or 
```
./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
```