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README.md

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+---
+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).