Update README.md

README.md

@@ -39,7 +39,7 @@ A **6-layer ColBERT model** distilled from [ColBERT-Zero](https://huggingface.co
 
 ## Benchmark Results
 
-Evaluated on 3 code search corpora (150 questions total) via [litembeddings](https://github.com/nicholasgasior/litembeddings):
+Evaluated on 3 code search corpora (150 questions total) via [litembeddings](https://github.com/alexandernicholson/litembeddings):
 
 | Corpus | Teacher MRR | Student MRR | % of Teacher | Student Query Speed |
 |--------|------------|-------------|--------------|---------------------|
@@ -145,7 +145,7 @@ reranked = rank.rerank(
 
 ## GGUF / litembeddings
 
-This model can be converted to GGUF format for use with [litembeddings](https://github.com/nicholasgasior/litembeddings) (SQLite-based embedding engine with SIMD-accelerated MaxSim):
+This model can be converted to GGUF format for use with [litembeddings](https://github.com/alexandernicholson/litembeddings) (SQLite-based embedding engine with SIMD-accelerated MaxSim):
 
 ```bash
 # Convert to GGUF
@@ -191,5 +191,5 @@ SELECT lembed_maxsim(
 
 - [ColBERT-Zero](https://huggingface.co/lightonai/ColBERT-Zero) by LightOn AI — the teacher model
 - [PyLate](https://github.com/lightonai/pylate) — ColBERT training framework
-- [litembeddings](https://github.com/nicholasgasior/litembeddings) — SQLite embedding engine used for benchmarking
+- [litembeddings](https://github.com/alexandernicholson/litembeddings) — SQLite embedding engine used for benchmarking
 - Training and experimentation performed entirely on Apple Silicon (M4 Max) using PyTorch MPS backend