Add epoch-2 vLLM acceptance-length results (64-prompt bench); restore deploy command

README.md

@@ -137,8 +137,8 @@ Notes:
 
 ## Deployment
 
-DSpark inference support in vLLM is landing; once available, deploy with speculative
-decoding:
+DSpark inference support is available on the vLLM nightly
+(`uv pip install vllm --extra-index-url https://wheels.vllm.ai/nightly`):
 
 ```bash
 vllm serve zai-org/GLM-5.2-FP8 \
@@ -146,9 +146,10 @@ vllm serve zai-org/GLM-5.2-FP8 \
     --max-model-len 16384 \
     --trust-remote-code \
     --speculative-config '{
-        "model": "mgoin/GLM-5.2-speculator.dspark",
+        "model": "RedHatAI/GLM-5.2-speculator.dspark",
         "num_speculative_tokens": 7,
-        "method": "dspark"
+        "method": "dspark",
+        "draft_sample_method": "probabilistic"
     }'
 ```
 
@@ -169,6 +170,34 @@ Per-position accuracy (positions 1-7), epoch 2:
 
 Still improving epoch-over-epoch (epoch 3 in training).
 
+### Acceptance length in vLLM (revision `epoch-2`)
+
+Measured end-to-end in vLLM speculative decoding (nightly
+`0.23.1rc1.dev709+g2b753ad20`), serving `zai-org/GLM-5.2-FP8` on 4xB300 with
+`num_speculative_tokens=7`, `draft_sample_method="probabilistic"`, greedy
+sampling, batch size 1, 64 single-turn chat prompts (32 `HumanEval` + 32
+`math_reasoning` from
+[`RedHatAI/speculator_benchmarks`](https://huggingface.co/datasets/RedHatAI/speculator_benchmarks)),
+1024 output tokens each. Acceptance is computed from vLLM's
+`spec_decode_num_accepted_tokens_per_pos` / `num_drafts` counter deltas.
+The earlier
+[`GLM-5.2-speculator.dspark-preview`](https://huggingface.co/RedHatAI/GLM-5.2-speculator.dspark-preview)
+is included for reference (measured on a 16-prompt subset of the same set).
+
+> This table is updated as later epochs are published; `main` currently
+> points to **`epoch-2`**.
+
+| Checkpoint | Pos 1 | Pos 2 | Pos 3 | Pos 4 | Pos 5 | Pos 6 | Pos 7 | Accept Len | Decode tok/s |
+| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
+| `epoch-2` (= `main`) | 74.7% | 56.0% | 41.5% | 31.1% | 23.7% | 18.0% | 13.2% | **3.58** | **225** |
+| `epoch-1` | 74.7% | 55.4% | 40.2% | 29.5% | 21.5% | 15.4% | 10.9% | 3.48 | 219 |
+| `dspark-preview` | 57.5% | 31.7% | 15.4% | 7.4% | 3.3% | 1.5% | 0.7% | 2.18 | 139 |
+
+The epoch-2 gain comes from deeper draft positions (position-1 acceptance is
+unchanged), consistent with continued training. For reference, the same
+server without speculative decoding decodes at 102 tok/s (2.2x speedup for
+`epoch-2`).
+
 ## References
 
 - **DFlash**: Block Diffusion for Flash Speculative Decoding (arXiv:2602.06036) — the