ml0x puts guardrails around coding agents.
An agent run moves through four stages. Analyze, implement, test and review. Each stage has a gate. If a gate fails, the run stops and says why.
Budgets are capped per run, so an agent cannot spend more than you allowed.
Estimate LLM token counts without loading a tokenizer
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Exact LoRA trainable-parameter counts and fine-tuning VRAM plans for Llama-style decoders. Dependency-free Python; pinned to the worked example published on ml0x.com.
Exact LoRA trainable-parameter counts and fine-tuning VRAM plans for Llama-style decoders. Dependency-free Python; pinned to the worked example published on ml0x.com.
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