---
name: cm-david:v2 is noisy — do not use as BM_LOCAL_MODEL
description: Fine-tuned model from v0.48.0 era produces garbage on structured slot
  tasks — retrain on clean v0.61.0 pairs
type: feedback
permalink: claude-memory/feedback-cm-david-v2-noisy
---

cm-david:v2 (qwen2.5 LoRA, 14,199 pairs) was tested on classification and entity resolution tasks. It produces rambling, hallucinated output instead of the terse structured responses the slots expect. The training pairs were generated during the v0.48.0 era when L1 had reliability bugs (A-D).

**Why:** Noisy pipeline → noisy pairs → noisy model. The teacher (Haiku) corrections were likely valid but the training context was corrupted.

**How to apply:** Use `qwen3.5:4b` as `BM_LOCAL_MODEL` until cm-david:v3 is trained on clean v0.61.0 pairs. Purge old training pairs (`~/.capablemind/data/mindfabric-00/training/*.jsonl`) before generating new ones. The cm-keystone-ranking models (3 versions) in Ollama are also suspect — trained on the same era's data.