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docs: Tidy root README, add hardware notes to experimental/README.md

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Triex 2025-06-11 17:48:38 +10:00
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4
README.md
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@ -27,7 +27,7 @@ A **DRAFT proposal & foundation** for implementing DeepSeek V3 in Zig to create
- ✅ SIMD-optimized tensor operations (draft implementation)
- ✅ Cross-platform backend architecture
- ✅ Initial memory management
- ✅ **Apple Silicon M-series detection** (real hardware detection via sysctl)
- ✅ **Apple Silicon M-series detection** (hardware detection via sysctl)
- ✅ Comprehensive build system draft
- ⚠️ **NOT PRODUCTION READY** - Draft implementation for research/development
@ -157,7 +157,7 @@ Current LLM inference is dominated by Python/PyTorch, which introduces:
### For the Current Zig Implementation:
```bash
# Clone this repository
git clone https://github.com/[current-repo-path]
git clone https://github.com/Triex/DeepZig-V3
cd DeepSeek-V3-Zig/experimental
# Build and test the foundation

7
experimental/README.md
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@ -233,14 +233,17 @@ Run benchmarks to measure performance:
zig build bench
```
**Hardware Context**: Benchmarks run on Apple M1 MacBook Pro (MacBookPro17,1) with 16GB unified memory, Zig 0.15.0-dev.703+597dd328e, debug build.
Example output:
```
🚀 DeepZig V3 Performance Benchmarks
==========================================
Backend: CPU (SIMD optimized)
Architecture: x86_64
Thread count: 16
Architecture: aarch64
Thread count: 8
Hardware: Apple M1 MacBook Pro, 16GB unified memory
Operation | Iterations | Avg Time | Operations/s | Memory
-------------------------------|------------|-----------|--------------|-------