Delete Dockerfile with huggingface_hub

Dockerfile

@@ -1,45 +0,0 @@
-# ---- Build stage: 编译 llama.cpp 的 llama-server (CPU only) ----
-FROM python:3.11-slim AS build
-
-RUN apt-get update && apt-get install -y --no-install-recommends \
-        build-essential cmake git libcurl4-openssl-dev ca-certificates \
-    && rm -rf /var/lib/apt/lists/*
-
-RUN git clone --depth 1 https://github.com/ggml-org/llama.cpp /llama.cpp
-WORKDIR /llama.cpp
-
-# GGML_NATIVE=OFF: HF Space的CPU型号不确定,不能假设AVX512等指令集,
-# 用通用编译避免"illegal instruction"崩溃。LLAMA_CURL=ON 让 -hf 直接从HF拉模型。
-RUN cmake -B build -DGGML_NATIVE=OFF -DLLAMA_CURL=ON -DCMAKE_BUILD_TYPE=Release \
-    && cmake --build build --target llama-server -j "$(nproc)"
-
-# ---- Runtime stage ----
-FROM python:3.11-slim
-
-RUN apt-get update && apt-get install -y --no-install-recommends \
-        libcurl4 ca-certificates \
-    && rm -rf /var/lib/apt/lists/*
-
-COPY --from=build /llama.cpp/build/bin/llama-server /usr/local/bin/llama-server
-
-# HF Space Docker容器默认以非root用户运行,/tmp通常可写,用它做模型缓存目录
-ENV HF_HOME=/tmp/hf_cache
-RUN mkdir -p /tmp/hf_cache && chmod -R 777 /tmp/hf_cache
-
-# ---- 可在Space的 Settings > Variables 里覆盖,无需重新构建镜像 ----
-ENV MODEL_REPO="Qwen/Qwen3-4B-Instruct-2507-GGUF"
-ENV MODEL_QUANT="Q4_K_M"
-ENV CTX_SIZE="4096"
-ENV N_THREADS="2"
-
-EXPOSE 7860
-
-# --jinja: 启用chat template里的tool-calling语法解析,让 /v1/chat/completions
-#          支持传 tools=[...] 并正确输出 tool_calls
-CMD ["sh", "-c", "llama-server \
-    -hf ${MODEL_REPO}:${MODEL_QUANT} \
-    --host 0.0.0.0 \
-    --port 7860 \
-    -c ${CTX_SIZE} \
-    -t ${N_THREADS} \
-    --jinja"]