Add vLLM v0.18.1 source tree with KV transfer abort fix
third_party/vllm/ now tracked in git for direct patch management.
Based on vLLM v0.18.1 release with one patch applied:
vllm/v1/core/sched/scheduler.py:
Replace fatal assert with graceful skip when KV transfer callback
arrives for an already-aborted request during PD disaggregated serving.
Future vLLM modifications should be made directly in third_party/vllm/
and committed normally. The patches/ directory is kept as documentation
of what changed from upstream.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
27
third_party/vllm/docs/features/speculative_decoding/n_gram.md
vendored
Normal file
27
third_party/vllm/docs/features/speculative_decoding/n_gram.md
vendored
Normal file
@@ -0,0 +1,27 @@
|
||||
# N-Gram Speculation
|
||||
|
||||
The following code configures vLLM to use speculative decoding where proposals are generated by
|
||||
matching n-grams in the prompt. For more information read [this thread.](https://x.com/joao_gante/status/1747322413006643259)
|
||||
|
||||
```python
|
||||
from vllm import LLM, SamplingParams
|
||||
|
||||
prompts = ["The future of AI is"]
|
||||
sampling_params = SamplingParams(temperature=0.8, top_p=0.95)
|
||||
|
||||
llm = LLM(
|
||||
model="Qwen/Qwen3-8B",
|
||||
tensor_parallel_size=1,
|
||||
speculative_config={
|
||||
"method": "ngram",
|
||||
"num_speculative_tokens": 5,
|
||||
"prompt_lookup_max": 4,
|
||||
},
|
||||
)
|
||||
outputs = llm.generate(prompts, sampling_params)
|
||||
|
||||
for output in outputs:
|
||||
prompt = output.prompt
|
||||
generated_text = output.outputs[0].text
|
||||
print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}")
|
||||
```
|
||||
Reference in New Issue
Block a user