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README.md

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+---
+base_model: Iker/Llama-3-Instruct-Neurona-8b-v2
+datasets:
+- Danielbrdz/Barcenas-Economia
+- HiTZ/casimedicos-exp
+- somosnlp/coser_resumenes
+- csebuetnlp/CrossSum
+- Iker/Document-Translation-en-es
+- somosnlp/es-inclusive-language-it
+- glaiveai/glaive-code-assistant-v3
+- glaiveai/glaive-function-calling-v2
+- Iker/InstructTranslation-EN-ES
+- somosnlp/lenguaje-claro-dataset
+- somosnlp/LingComp_QA
+- Iker/NoticIA
+- teknium/OpenHermes-2.5
+- Iker/OpenHermes-2.5-Spanish
+- Helsinki-NLP/opus-100
+- projecte-aina/RAG_Multilingual
+- HiTZ/This-is-not-a-dataset
+- Iker/Reddit-Post-Translation
+- wikipedia
+language:
+- es
+- en
+library_name: transformers
+license: llama3
+pipeline_tag: text-generation
+tags:
+- synthetic
+- llama-cpp
+- gguf-my-repo
+---
+
+# NikolayKozloff/Llama-3-Instruct-Neurona-8b-v2-Q4_0-GGUF
+This model was converted to GGUF format from [`Iker/Llama-3-Instruct-Neurona-8b-v2`](https://huggingface.co/Iker/Llama-3-Instruct-Neurona-8b-v2) 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/Iker/Llama-3-Instruct-Neurona-8b-v2) 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/Llama-3-Instruct-Neurona-8b-v2-Q4_0-GGUF --hf-file llama-3-instruct-neurona-8b-v2-q4_0.gguf -p "The meaning to life and the universe is"
+```
+
+### Server:
+```bash
+llama-server --hf-repo NikolayKozloff/Llama-3-Instruct-Neurona-8b-v2-Q4_0-GGUF --hf-file llama-3-instruct-neurona-8b-v2-q4_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/Llama-3-Instruct-Neurona-8b-v2-Q4_0-GGUF --hf-file llama-3-instruct-neurona-8b-v2-q4_0.gguf -p "The meaning to life and the universe is"
+```
+or 
+```
+./llama-server --hf-repo NikolayKozloff/Llama-3-Instruct-Neurona-8b-v2-Q4_0-GGUF --hf-file llama-3-instruct-neurona-8b-v2-q4_0.gguf -c 2048
+```