Update README.md

README.md

@@ -6,11 +6,12 @@ base_model:
 - meta-llama/Llama-3.1-8B-Instruct
 tags:
 - legal
+pipeline_tag: text-generation
 ---
 
 This is a fine-tuned version of the **Llama3.1-8B-Instruct** model, adapted for answering questions about legislation in Latvia. The model was fine-tuned on a [dataset](http://hdl.handle.net/20.500.12574/130) of ~15 thousand question–answer pairs sourced from the [LVportals.lv](https://lvportals.lv/e-konsultacijas) archive.
 
-A quantized version of the model is available for use with Ollama or other local LLM runtime environments that support the GGUF format.
+Quantized versions of the model are available for use with Ollama and other local LLM runtime environments that support the GGUF format.
 
 The data preparation, fine-tuning process, and comprehensive evaluation are described in more detail in:
 
@@ -18,4 +19,4 @@ The data preparation, fine-tuning process, and comprehensive evaluation are desc
 
 **Note**:
 
-The model may occasionally generate overly long responses. To prevent this, it is recommended to set the `num_predict` parameter to limit the number of tokens generated - either in your Python code or in the `Modelfile`, depending on how the model is run.
+The model may occasionally generate overly long responses. To prevent this, it is recommended to set the `num_predict` parameter to limit the number of tokens generated - either in your Python code or in the `Modelfile`, depending on how the model is run.