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docs: alinear modelos a qwen2.5:7b + bge-m3 (iGPU activa)
Build & Deploy ResearchOwl / build-and-push (push) Successful in 14s
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Generación 3B→7B y embeddings a bge-m3 en README, CLAUDE.md, .env.example y
k8s/deployment.yaml. Corregido el default buggy de config.py: ollama_embed_model
era qwen2.5:3b (un modelo de chat) → bge-m3. Añadido OLLAMA_EMBED_MODEL donde
faltaba. Nota del host público de ollama ahora tras Authentik.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
ChemaVX
2026-07-23 09:54:58 +00:00
co-authored by Claude Opus 4.8
parent 6029bebae5
commit 9653898366
5 changed files with 12 additions and 9 deletions
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.env.example
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@@ -7,7 +7,8 @@ TELEGRAM_ALLOWED_USERS=123456789 # your Telegram user ID
# Ollama (default points to your existing instance)
OLLAMA_URL=http://ollama.chemavx.xyz
OLLAMA_MODEL=qwen2.5:3b
OLLAMA_MODEL=qwen2.5:7b
OLLAMA_EMBED_MODEL=bge-m3
# Claude fallback (optional, only for premium generation)
# ANTHROPIC_API_KEY=sk-ant-...