ProgramBench, a new reverse-engineering benchmark, compiles and fuzzes LLM-generated code against original binaries, with GPT-4o achieving a 34% pass@1 rate, Claude 3.5 Sonnet 28%, and DeepSeek-Coder-…
A developer tested running coding models locally via Ollama and found that DeepSeek-Coder-V2 on an RTX 3090 delivers 0.2s time to first token and 45 tokens per second, compared to GPT-4o's 1.1s and 60…
Claude 3.5 Sonnet is generally superior for complex architectural planning and nuanced refactoring, while DeepSeek-V3 offers industry-leading performance in raw logic and competitive benchmarks at a s…
A developer provides a formula for estimating RAM requirements to run large language models locally, explaining that a 7B model at Q4 quantization needs roughly 4.2GB plus overhead. Benchmarks show th…