The Latest in Fine-Tuned and Open Models: From LLaMA to DeepSeek

Maya and Leo introduce Topic 6 by mapping open-weight and fine-tuned model families as deployable engineering components. Using an on-device coding and data-analysis assistant, they explain Llama, fine-tuning, deployment envelopes, private evaluation, ecosystem trade-offs, and why sparse models like DeepSeek complicate the open-model frontier. Sources: • Llama 2: Open Foundation and Fine-Tuned Chat Models: https://arxiv.org/pdf/2307.09288 • The Llama 3 Herd of Models: https://arxiv.org/pdf/2407.21783 • DeepSeek-V3 Technical Report: https://arxiv.org/pdf/2412.19437 • DeepSeek-V4-Flash model card and technical report link: https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash • DeepSeek V4 Preview Release: https://api-docs.deepseek.com/news/news260424