README.md

---
base_model: HiTZ/latxa-7b-v1.2
datasets:
- HiTZ/latxa-corpus-v1.1
language:
- eu
- en
license: llama2
metrics:
- accuracy
- f1
- perplexity
pipeline_tag: text-generation
tags:
- llama-cpp
- gguf-my-repo
model-index:
- name: Latxa-7b-v1.2
  results:
  - task:
      type: multiple-choice
    dataset:
      name: xstory_cloze
      type: XStory
    metrics:
    - type: Accuracy (0-shot)
      value: 65.72
      name: Accuracy (0-shot)
    source:
      url: https://arxiv.org/abs/2403.20266
      name: Paper
  - task:
      type: multiple-choice
    dataset:
      name: belebele
      type: Belebele
    metrics:
    - type: Accuracy (5-shot)
      value: 36.89
      name: Accuracy (5-shot)
    source:
      url: https://arxiv.org/abs/2403.20266
      name: Paper
  - task:
      type: mix
    dataset:
      name: basque_glue
      type: BasqueGLUE
    metrics:
    - type: Average scores (5-shot)
      value: 51.78
      name: Average scores (5-shot)
    source:
      url: https://arxiv.org/abs/2403.20266
      name: Paper
  - task:
      type: multiple_choice
    dataset:
      name: eus_proficiency
      type: EusProficiency
    metrics:
    - type: Accuracy (5-shot)
      value: 32.44
      name: Accuracy (5-shot)
    source:
      url: https://arxiv.org/abs/2403.20266
      name: Paper
  - task:
      type: multiple_choice
    dataset:
      name: eus_reading
      type: EusReading
    metrics:
    - type: Accuracy (5-shot)
      value: 30.4
      name: Accuracy (5-shot)
    source:
      url: https://arxiv.org/abs/2403.20266
      name: Paper
  - task:
      type: multiple_choice
    dataset:
      name: eus_trivia
      type: EusTrivia
    metrics:
    - type: Accuracy (5-shot)
      value: 44.37
      name: Accuracy (5-shot)
    source:
      url: https://arxiv.org/abs/2403.20266
      name: Paper
  - task:
      type: multiple_choice
    dataset:
      name: eus_exams
      type: EusExams
    metrics:
    - type: Accuracy (5-shot)
      value: 34.2
      name: Accuracy (5-shot)
    source:
      url: https://arxiv.org/abs/2403.20266
      name: Paper
---

# NikolayKozloff/latxa-7b-v1.2-Q8_0-GGUF
This model was converted to GGUF format from [`HiTZ/latxa-7b-v1.2`](https://huggingface.co/HiTZ/latxa-7b-v1.2) 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/HiTZ/latxa-7b-v1.2) 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/latxa-7b-v1.2-Q8_0-GGUF --hf-file latxa-7b-v1.2-q8_0.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
llama-server --hf-repo NikolayKozloff/latxa-7b-v1.2-Q8_0-GGUF --hf-file latxa-7b-v1.2-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/latxa-7b-v1.2-Q8_0-GGUF --hf-file latxa-7b-v1.2-q8_0.gguf -p "The meaning to life and the universe is"
```
or 
```
./llama-server --hf-repo NikolayKozloff/latxa-7b-v1.2-Q8_0-GGUF --hf-file latxa-7b-v1.2-q8_0.gguf -c 2048
```