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