Update README.md

README.md

@@ -26,11 +26,4 @@ the target. Everything is RTN-quantized to int4 (compressed-tensors
 
 Validated on 2x DGX Spark (GB10) at TP2 with `draft_tensor_parallel_size: 2`:
 acceptance length 3.36 (78.6% draft acceptance) at 120k-token context,
-decode 39.7 / 30.4 / 26.4 tok/s @512/65k/120k with 4-bit KV quantization.
-
-Reference deployment (container image, recipes, GB10 operational notes):
-see the `DEPLOYMENT.md` of the companion spark-vllm-docker fork.
-
-Note: the int4 embedding requires the draft model's quantization config to be
-applied to `embed_tokens` at load; vLLM builds that need the
-`fix-eagle3-draft-embed-quant` mod from the deployment repo.
+decode 39.7 / 30.4 / 26.4 tok/s @512/65k/120k with 4-bit KV quantization.