README.md

---
language:
- it
license: cc-by-nc-sa-4.0
tags:
- text-generation-inference
- transformers
- mistral
- trl
- sft
- llama-cpp
- gguf-my-repo
base_model: sapienzanlp/Minerva-3B-base-v1.0
datasets:
- mchl-labs/stambecco_data_it
pipeline_tag: text-generation
widget:
- text: "Di seguito è riportata un'istruzione che descrive un'attività, abbinata ad\
    \ un input che fornisce ulteriore informazione. Scrivi una risposta che soddisfi\
    \ adeguatamente la richiesta. \n### Istruzione:\nSuggerisci un'attività serale\
    \ romantica\n\n### Input:\n\n### Risposta:"
  example_title: Example 1
---

# NikolayKozloff/Minerva-3B-Instruct-v1.0-Q5_K_M-GGUF
This model was converted to GGUF format from [`FairMind/Minerva-3B-Instruct-v1.0`](https://huggingface.co/FairMind/Minerva-3B-Instruct-v1.0) 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/FairMind/Minerva-3B-Instruct-v1.0) for more details on the model.
## Use with llama.cpp

Install llama.cpp through brew.

```bash
brew install ggerganov/ggerganov/llama.cpp
```
Invoke the llama.cpp server or the CLI.

CLI:

```bash
llama-cli --hf-repo NikolayKozloff/Minerva-3B-Instruct-v1.0-Q5_K_M-GGUF --model minerva-3b-instruct-v1.0.Q5_K_M.gguf -p "The meaning to life and the universe is"
```

Server:

```bash
llama-server --hf-repo NikolayKozloff/Minerva-3B-Instruct-v1.0-Q5_K_M-GGUF --model minerva-3b-instruct-v1.0.Q5_K_M.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.

```
git clone https://github.com/ggerganov/llama.cpp &&             cd llama.cpp &&             make &&             ./main -m minerva-3b-instruct-v1.0.Q5_K_M.gguf -n 128
```