Open Issues Need Help
View All on GitHub [ci] Build the documented way in clean containers, so the README's build cannot silently rot about 3 hours ago
enhancement help wanted good first issue
Tiny dependency-free C23 inference engine for small LLMs — ternary BitNet, CPU-first, runs on a Raspberry Pi
C
#arm64#bitnet#c23#edge-ai#gguf#inference-engine#llm#local-llm#neon#quantization#raspberry-pi#ternary
release.yml comments describe flags the jobs do not pass (EXTRA_LDFLAGS "-static -s") about 3 hours ago
documentation good first issue
Tiny dependency-free C23 inference engine for small LLMs — ternary BitNet, CPU-first, runs on a Raspberry Pi
C
#arm64#bitnet#c23#edge-ai#gguf#inference-engine#llm#local-llm#neon#quantization#raspberry-pi#ternary
mk/run-tests.sh requires bash, though the build no longer does about 3 hours ago
enhancement good first issue
Tiny dependency-free C23 inference engine for small LLMs — ternary BitNet, CPU-first, runs on a Raspberry Pi
C
#arm64#bitnet#c23#edge-ai#gguf#inference-engine#llm#local-llm#neon#quantization#raspberry-pi#ternary
A missing OpenBLAS fails at link time with no hint that GEMM_PROVIDER=native exists about 3 hours ago
enhancement good first issue
Tiny dependency-free C23 inference engine for small LLMs — ternary BitNet, CPU-first, runs on a Raspberry Pi
C
#arm64#bitnet#c23#edge-ai#gguf#inference-engine#llm#local-llm#neon#quantization#raspberry-pi#ternary
documentation good first issue
Tiny dependency-free C23 inference engine for small LLMs — ternary BitNet, CPU-first, runs on a Raspberry Pi
C
#arm64#bitnet#c23#edge-ai#gguf#inference-engine#llm#local-llm#neon#quantization#raspberry-pi#ternary