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README.md

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