| --- |
| base_model: Arjun-G-Ravi/chat-GPT2 |
| datasets: |
| - MuskumPillerum/General-Knowledge |
| language: |
| - en |
| library_name: transformers |
| license: mit |
| metrics: |
| - accuracy |
| pipeline_tag: text-generation |
| tags: |
| - chemistry |
| - biology |
| - text-generation-inference |
| - llama-cpp |
| - gguf-my-repo |
| widget: |
| - text: 'Read the question and give an honest answer. Your answers should not include |
| any unethical, racist, sexist, dangerous, or illegal content. If the question |
| is wrong, or does not make sense, accept it instead of giving the wrong answer.\n |
| Question: Who is the king of the jungle? Answer:' |
| example_title: Knowledge - Animal kingdom |
| - text: 'Read the question and give an honest answer. Your answers should not include |
| any unethical, racist, sexist, dangerous, or illegal content. If the question |
| is wrong, or does not make sense, accept it instead of giving the wrong answer.\n |
| Question: Who is Kobe Bryant? Answer:' |
| example_title: Knowledge - Sports |
| - text: 'Read the question and give an honest answer. Your answers should not include |
| any unethical, racist, sexist, dangerous, or illegal content. If the question |
| is wrong, or does not make sense, accept it instead of giving the wrong answer.\n |
| Question: What is the meaning of life? Answer:' |
| example_title: Philosophy |
| - text: 'Read the question and give an honest answer. Your answers should not include |
| any unethical, racist, sexist, dangerous, or illegal content. If the question |
| is wrong, or does not make sense, accept it instead of giving the wrong answer.\n |
| Question: What role of actuators in robotics? Answer:' |
| example_title: Robotics |
| inference: |
| parameters: |
| temperature: 0.7 |
| top_k: 50 |
| top_p: 0.9 |
| max_length: 200 |
| --- |
| |
| # Sansar-Karki/chat-GPT2-Q8_0-GGUF |
| This model was converted to GGUF format from [`Arjun-G-Ravi/chat-GPT2`](https://huggingface.co/Arjun-G-Ravi/chat-GPT2) 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/Arjun-G-Ravi/chat-GPT2) 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 Sansar-Karki/chat-GPT2-Q8_0-GGUF --hf-file chat-gpt2-q8_0.gguf -p "The meaning to life and the universe is" |
| ``` |
| |
| ### Server: |
| ```bash |
| llama-server --hf-repo Sansar-Karki/chat-GPT2-Q8_0-GGUF --hf-file chat-gpt2-q8_0.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 Sansar-Karki/chat-GPT2-Q8_0-GGUF --hf-file chat-gpt2-q8_0.gguf -p "The meaning to life and the universe is" |
| ``` |
| or |
| ``` |
| ./llama-server --hf-repo Sansar-Karki/chat-GPT2-Q8_0-GGUF --hf-file chat-gpt2-q8_0.gguf -c 2048 |
| ``` |
| |
