CataLlama-v0.2-Instruct-SFT-DPO-Merged-GGUF

CataLlama-v0.2-Instruct-SFT-DPO-Merged-GGUF

CataLlama-v0.2-Instruct-SFT-DPO-Merged-GGUF is a quantisation of catallama/CataLlama-v0.2-Instruct-SFT-DPO-Merged

This is an instruction fine-tuned model, optimised with DPO, proficient on the following tasks in Catalan

• Information extraction (suitable for RAG)
• Named Entity Recognition (NER)
• Translation from English to Catalan and Catalan to English
• Summarization - both short form and long form
• Sentiment analysis
• Chat

Model developers Laurentiu Petrea based on Llama-3 from Meta.

Model Architecture CataLlama is an auto-regressive language model that uses an optimized transformer architecture. The tuned versions use supervised fine-tuning (SFT) and direct preference optimisation (DPO) to align with human preferences for helpfulness and safety.

License The model uses the llama-3 license available at: https://llama.meta.com/llama3/license

Benchmarks (for the bf16 model)

Please see the original model card for more details

Intended Use

Note: This model is not intended to beat benchmarks, but to demonstrate techniques for augmenting LLMs on new languages and preserve rare languages as part of our world heritage.

Intended Use Cases Llama 3 is intended for commercial and research use in English. Instruction tuned models are intended for assistant-like chat, whereas pretrained models can be adapted for a variety of natural language generation tasks.

Out-of-scope Use in any manner that violates applicable laws or regulations (including trade compliance laws). Use in any other way that is prohibited by the Acceptable Use Policy and Llama 3 Community License. Use in languages other than English**.

**Note: Developers may fine-tune Llama 3 models for languages beyond English provided they comply with the Llama 3 Community License and the Acceptable Use Policy.