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Mike Kuykendall
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test: Add workflow testing triggers
1 parent 66b4054 commit b2a75a2

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‎.cargo/config.toml‎

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# Environment variables for llama.cpp compilation
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[env]
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# Disable CUDA compilation by default to speed up builds
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LLAMA_CUDA = "OFF"
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# Enable CUDA compilation for GPU support
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LLAMA_CUDA = "ON"
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# Use faster compilation flags
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CMAKE_BUILD_TYPE = "Release"
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# Limit parallel jobs for llama.cpp to prevent hanging

‎.claude/settings.local.json‎

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"Bash(git add:*)",
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"Bash(gh run:*)",
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"Bash(rm:*)",
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"Bash(cargo build:*)"
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"Bash(cargo build:*)",
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"Bash(cargo publish:*)",
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"Bash(git commit:*)",
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"Bash(gh release create:*)",
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"Bash(vsce publish:*)",
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"Bash(cargo search:*)",
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"WebFetch(domain:marketplace.visualstudio.com)",
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"Bash(vsce list:*)",
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"Bash(vsce show:*)",
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"Bash(git log:*)",
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"Bash(grep:*)",
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"Bash(gh release view:*)",
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"Bash(gh release upload:*)",
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"Bash(cp:*)",
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"Bash(cargo test:*)",
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"Bash(git pull:*)",
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"Bash(gh api:*)",
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"Bash(gh repo edit:*)",
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"Bash(mkdir:*)",
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"Bash(gh issue list:*)",
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"Bash(gh pr list:*)",
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"Bash(gh issue view:*)",
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"Bash(gh pr view:*)",
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"Bash(gh pr diff:*)",
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"Bash(gh pr close:*)",
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"Bash(cargo check:*)",
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"Bash(nvidia-smi:*)",
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"Bash(./target/release/shimmy.exe:*)",
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"Bash(cargo clean:*)",
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"Bash(cat:*)",
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"Bash(rg:*)",
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"Bash(gh issue close:*)",
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"Bash(sed:*)",
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"Bash(git checkout:*)"
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],
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"deny": [],
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"ask": []
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"ask": [],
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"additionalDirectories": [
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"C:\\Users\\micha\\.ollama\\models"
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]
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}
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}

‎.github/workflows/release.yml‎

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push:
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tags:
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- 'v*'
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workflow_dispatch: # Allow manual testing
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push:
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branches:
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- test-release # Test on specific branch
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jobs:
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release:

‎Dockerfile‎

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# Multi-stage build for shimmy with GPU support
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FROM nvidia/cuda:12.0-devel-ubuntu22.04 as builder
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# Install Rust and build dependencies
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RUN apt-get update && apt-get install -y \
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curl \
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build-essential \
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cmake \
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pkg-config \
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&& rm -rf /var/lib/apt/lists/*
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# Install Rust
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RUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y
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ENV PATH="/root/.cargo/bin:${PATH}"
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# Copy source code
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WORKDIR /app
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COPY . .
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# Build shimmy with GPU support
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RUN cargo build --release --features llama
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# Runtime image with CUDA runtime
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FROM nvidia/cuda:12.0-runtime-ubuntu22.04
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# Install runtime dependencies
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RUN apt-get update && apt-get install -y \
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ca-certificates \
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&& rm -rf /var/lib/apt/lists/*
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# Copy binary from builder
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COPY --from=builder /app/target/release/shimmy /usr/local/bin/shimmy
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# Create non-root user
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RUN useradd -m -u 1000 shimmy
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USER shimmy
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# Set working directory
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WORKDIR /home/shimmy
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# Expose default port
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EXPOSE 3000
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# Default command
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CMD ["shimmy", "serve", "--bind", "0.0.0.0:3000"]

‎Dockerfile.cpu‎

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# CPU-only build for shimmy
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FROM rust:1.70-slim-bullseye as builder
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# Install build dependencies
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RUN apt-get update && apt-get install -y \
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build-essential \
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cmake \
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pkg-config \
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&& rm -rf /var/lib/apt/lists/*
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# Copy source code
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WORKDIR /app
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COPY . .
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# Build shimmy with CPU-only features
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RUN cargo build --release --features llama
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# Runtime image
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FROM debian:bullseye-slim
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# Install runtime dependencies
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RUN apt-get update && apt-get install -y \
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ca-certificates \
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curl \
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&& rm -rf /var/lib/apt/lists/*
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# Copy binary from builder
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COPY --from=builder /app/target/release/shimmy /usr/local/bin/shimmy
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# Create non-root user
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RUN useradd -m -u 1000 shimmy
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USER shimmy
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# Set working directory
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WORKDIR /home/shimmy
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# Expose default port
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EXPOSE 3000
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# Default command
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CMD ["shimmy", "serve", "--bind", "0.0.0.0:3000"]

‎README.md‎

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- Xcode 17+ compatibility
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- All LoRA adapter features
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## 🚀 GPU Acceleration
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### NVIDIA CUDA ✅
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```bash
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# Install with GPU support
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cargo install shimmy --features llama
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# Docker with GPU
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docker run --runtime=nvidia --gpus all shimmy:latest
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```
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### Apple Metal ✅
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- Automatic acceleration on macOS
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- M1/M2 and discrete GPU support
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- No configuration needed
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### CPU Fallback ✅
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- Multi-threaded CPU inference
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- Works on all systems without GPU
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## Integration Examples
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### VSCode Copilot

‎docker-compose.yml‎

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version: '3.8'
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services:
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shimmy:
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build: .
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runtime: nvidia
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environment:
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- NVIDIA_VISIBLE_DEVICES=all
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- RUST_LOG=info
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ports:
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- "3000:3000"
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volumes:
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- "./models:/home/shimmy/models:ro"
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- "~/.cache/huggingface:/home/shimmy/.cache/huggingface:ro"
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restart: unless-stopped
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:3000/health"]
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interval: 30s
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timeout: 10s
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retries: 3
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start_period: 10s
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# CPU-only version for systems without GPU
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shimmy-cpu:
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build:
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context: .
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dockerfile: Dockerfile.cpu
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environment:
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- RUST_LOG=info
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ports:
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- "3001:3000"
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volumes:
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- "./models:/home/shimmy/models:ro"
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- "~/.cache/huggingface:/home/shimmy/.cache/huggingface:ro"
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restart: unless-stopped
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profiles:
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- cpu

‎docs/CONFIGURATION.md‎

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### GPU Support
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Currently, shimmy uses CPU-only inference. GPU support is planned for future releases.
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Shimmy supports GPU acceleration through multiple backends:
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#### NVIDIA CUDA Support ✅
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- **Status**: Available with `--features llama` build flag
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- **Requirements**: NVIDIA GPU with CUDA support, CUDA toolkit installed
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- **Automatic Detection**: Models are automatically offloaded to GPU when available
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- **Docker Support**: Use NVIDIA runtime (`--runtime=nvidia` or `--gpus all`)
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#### Apple Metal Support ✅
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- **Status**: Automatic on macOS with Apple Silicon or discrete GPUs
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- **Performance**: Significant acceleration confirmed on M1/M2 and AMD Radeon Pro GPUs
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- **Detection**: Automatic, no configuration required
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#### CPU Fallback
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- **Status**: Always available as fallback
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- **Performance**: Multi-threaded CPU inference for systems without GPU support
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#### Build Configuration
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To enable GPU support, build with:
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```bash
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cargo build --release --features llama
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```
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Or install via cargo with GPU features:
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```bash
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cargo install shimmy --features llama
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```
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#### Docker GPU Usage
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```dockerfile
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# Use NVIDIA runtime
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docker run --runtime=nvidia --gpus all shimmy:latest
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# Or with docker-compose
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services:
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shimmy:
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runtime: nvidia
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environment:
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- NVIDIA_VISIBLE_DEVICES=all
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```
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## Security Considerations
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‎shimmy-windows-amd64.exe‎

2.27 MB
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