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--- |
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license: apache-2.0 |
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datasets: |
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- LTS-VVE/Teuta-sq |
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- LTS-VVE/grammar_sq_0.1 |
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- LTS-VVE/linguistic_sq |
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- LTS-VVE/Math-physics-dataset-sq |
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- LTS-VVE/albanian-synthetic |
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- noxneural/lilium_albanicum_eng_alb |
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- MIND-Lab/Safety-Evaluation |
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- shb777/simple-math-steps-7M |
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- RishiKompelli/TherapyDataset |
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- microsoft/orca-math-word-problems-200k |
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- Vezora/Tested-143k-Python-Alpaca |
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- AI4Chem/ChemPref-DPO-for-Chemistry-data-en |
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- jkhedri/psychology-dataset |
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- samhog/psychology-10k |
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- Amod/mental_health_counseling_conversations |
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- sayhan/strix-philosophy-qa |
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- Maverfrick/Rust_dataset |
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- Neloy262/rust_instruction_dataset |
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- Tesslate/Rust_Dataset |
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language: |
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- en |
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- sq |
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base_model: LTS-VVE/Teuta |
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pipeline_tag: text-generation |
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tags: |
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- al |
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- math |
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- philosophy |
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- chemistry |
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- code |
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- biology |
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- climate |
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- not-for-all-audiences |
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- llama-cpp |
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- gguf-my-repo |
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--- |
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# NikolayKozloff/Teuta-Q8_0-GGUF |
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This model was converted to GGUF format from [`LTS-VVE/Teuta`](https://huggingface.co/LTS-VVE/Teuta) 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/LTS-VVE/Teuta) 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 NikolayKozloff/Teuta-Q8_0-GGUF --hf-file teuta-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 NikolayKozloff/Teuta-Q8_0-GGUF --hf-file teuta-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 NikolayKozloff/Teuta-Q8_0-GGUF --hf-file teuta-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 NikolayKozloff/Teuta-Q8_0-GGUF --hf-file teuta-q8_0.gguf -c 2048 |
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``` |
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