DeepSeek Tested: Building Complex Financial Models with Non-Technical Users
kmouratidis · reddit · 2026-08-03
DeepSeek-V4-Flash Hands-on Experience
Countering recent community complaints about DeepSeek-V4-Flash (such as heavy hallucination and lack of capability), the author defends the model through a real-world collaborative session, arguing it performs reliably within proper workflows.
Test Setup
- Task: Building a 5-year 3-statement financial model forecast based on Reddit's 10-K report, alongside a non-technical accountant friend.
- Environment: VSCode + ZooCODE, connecting to a locally deployed DeepSeek model via vLLM proxied by LiteLLM.
Performance
- Instruction Following: Despite extremely short and vague initial prompts, the model successfully inferred a plan, looked up dependencies, and asked clarifying questions.
- Zero Hallucination: During the Excel model generation, zero numbers were found to be hallucinated, and it caught and fixed many errors autonomously.
- Domain Intuition: The model proactively asked if it should use a plug to fix balance sheet imbalances—a common technique in financial modeling—demonstrating deep domain pre-training.
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