README.md

---
license: apache-2.0
datasets:
- Helsinki-NLP/opus_paracrawl
- turuta/Multi30k-uk
language:
- uk
- en
metrics:
- bleu
library_name: peft
pipeline_tag: text-generation
base_model: lang-uk/dragoman
tags:
- translation
- llama-cpp
- gguf-my-lora
widget:
- text: '[INST] who holds this neighborhood? [/INST]'
model-index:
- name: Dragoman
  results:
  - task:
      type: translation
      name: English-Ukrainian Translation
    dataset:
      name: FLORES-101
      type: facebook/flores
      config: eng_Latn-ukr_Cyrl
      split: devtest
    metrics:
    - type: bleu
      value: 32.34
      name: Test BLEU
---

# Tymkolt/dragoman-F16-GGUF
This LoRA adapter was converted to GGUF format from [`lang-uk/dragoman`](https://huggingface.co/lang-uk/dragoman) via the ggml.ai's [GGUF-my-lora](https://huggingface.co/spaces/ggml-org/gguf-my-lora) space.
Refer to the [original adapter repository](https://huggingface.co/lang-uk/dragoman) for more details.

## Use with llama.cpp

```bash
# with cli
llama-cli -m base_model.gguf --lora dragoman-f16.gguf (...other args)

# with server
llama-server -m base_model.gguf --lora dragoman-f16.gguf (...other args)
```

To know more about LoRA usage with llama.cpp server, refer to the [llama.cpp server documentation](https://github.com/ggerganov/llama.cpp/blob/master/examples/server/README.md).