MiniCPM5-2B Catalan Chat Model Released
Community ambassador luispoveda93, based on OpenBMB's MiniCPM5-2B, has released the Catalan chat model MiniCPM5-2B-catalan-chat-v2 through two-stage LoRA fine-tuning. The first stage used 165,100 samples from Projecte AINA's InstruCAT dataset for single-turn instruction fine-tuning, and the second stage continued fine-tuning multi-turn dialogue capabilities on a subset of approximately 23.4K dialogues from BSC-LT/ALIA-2606-SFT. The model provides merged BF16 weights, LoRA adapters, and a community-contributed GGUF version, and can run locally on llama.cpp and Ollama.
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🌍 “Hola!” from the MiniCPM community!
Meet MiniCPM5-2B-catalan-chat-v2, a Catalan conversational model built by our ambassador luispoveda93 through two-stage LoRA fine-tuning of OpenBMB’s MiniCPM5-2B.
📚 Stage 1 — Single-turn instruction tuning 165,100 examples from Projecte AINA’s InstruCAT dataset, covering Q&A, summarization, paraphrasing, and more.
💬 Stage 2 — Multi-turn conversation Continued fine-tuning on a ~23.4K chat-focused subset of BSC-LT/ALIA-2606-SFT, focusing on dialogue flow and instruction following across turns.
💻 Ready to explore locally Merged BF16 weights and LoRA adapters are available, alongside community-contributed GGUF versions for local use with llama.cpp and Ollama.
🛠️ Building for your language? This community project offers a concrete example of adapting MiniCPM with language-specific instructions and dialogue data.
Explore the model 👇 https://t.co/N9X7pXmM3K
🚀 Build with MiniCPM5-2B: GitHub: https://t.co/zaffsLsx5m Hugging Face: https://t.co/TNUu629lXn
#MiniCPM #OpenBMB #Catalan #LoRA #LocalAI