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@@ -1,11 +1,7 @@
-# ═══════════════════════════════════════════════════════════════════════════════
-# Dockerfile — Cerebro G — LiquidityStrategist v4.0 (BitNet REAL — ik_llama.cpp)
-# Arquitectura: MATH(<2ms) + BitNet-2B-1.58bit (100%% inferencias) + FastAPI
-# Motor: ik_llama.cpp AVX512_VNNI_VBMI — compatible GGUF i2_s nativo
-# VolumeProfile+KMeans+FibonacciPivots+HVN
-# ═══════════════════════════════════════════════════════════════════════════════
-
-# ── Etapa 1: Descargar modelo BitNet 2B ──────────────────────────────────────
+# Dockerfile — Cerebro G — LiquidityStrategist v6.0 (BitNet REAL — ik_llama.cpp)
+# VolumeProfile+KMeans+HVN+Fibonacci
+
+# ── Etapa 1: MODEL FETCHER ────────────────────────────────────────────────────
 FROM python:3.11-slim AS model-fetcher
 
 RUN apt-get update && apt-get install -y --no-install-recommends \
@@ -17,23 +13,21 @@ RUN pip install --no-cache-dir huggingface_hub
 COPY download_model.py /tmp/download_model.py
 RUN python3 /tmp/download_model.py
 
-# ── Etapa 2: Runtime ─────────────────────────────────────────────────────────
+# ── Etapa 2: RUNTIME ──────────────────────────────────────────────────────────
 FROM python:3.11-slim AS runtime
 
 RUN apt-get update && apt-get install -y --no-install-recommends \
         curl ca-certificates libgomp1 libstdc++6 unzip wget \
     && rm -rf /var/lib/apt/lists/*
 
-# ik_llama.cpp precompilado — soporte GGUF i2_s nativo (BitNet ternario)
-# AVX512_VNNI_VBMI: óptimo para Intel Xeon Platinum de HF Spaces
 RUN wget -q --user-agent="Mozilla/5.0" -O /tmp/ik.zip \
         "https://github.com/Thireus/ik_llama.cpp/releases/download/main-b4801-b275691/ik_llama-main-b4801-b275691-bin-ubuntu-x64-avx512_vnni_vbmi.zip" \
     && mkdir -p /app && unzip -q /tmp/ik.zip -d /app && rm /tmp/ik.zip \
     && BINARY=$(find /app -name "llama-server" -type f | head -1) \
     && ln -sf "$BINARY" /usr/local/bin/llama-server && chmod +x "$BINARY"
 
-ENV PATH="/app:${PATH}"
-ENV LD_LIBRARY_PATH="/app:${LD_LIBRARY_PATH}"
+ENV PATH="/app:$PATH"
+ENV LD_LIBRARY_PATH="/app:$LD_LIBRARY_PATH"
 
 WORKDIR /app
 
@@ -43,9 +37,8 @@ RUN pip install --no-cache-dir \
         fastapi==0.111.0 \
         "uvicorn[standard]==0.30.1" \
         httpx==0.27.0 \
-        numpy==1.26.4 \
+        numpy==1.26.4
 
-# Variables de entorno — compatibles con start.sh y server.py
 ENV MODEL_PATH="/models/ggml-model-i2_s.gguf"
 ENV N_CTX=2048
 ENV N_THREADS=2