metadata
tags:
- generated
- vllm
- uv-script
- gemma-4
- multi-token-prediction
Generated Responses Dataset (Gemma 4 + MTP)
This dataset contains generated responses for prompts from davanstrien/haiku_dpo, produced with Google Gemma 4 and vLLM's Multi-Token Prediction support.
Generation Details
- Source Dataset: davanstrien/haiku_dpo
- Source Split:
train - Input Column:
question(plain text prompts) - Model: google/gemma-4-26B-A4B-it
- Rows Processed: 30
- Batches: 3 (chunk size: 10)
- Generation Date: 2026-05-06T13:52:41.595582
- Script:
gemma4-mtp.py
Multi-Token Prediction (MTP)
- MTP Enabled: yes
- Draft Model: google/gemma-4-26B-A4B-it-assistant
- Speculative Tokens: 4
MTP uses a small "assistant" draft model to predict multiple tokens per step, giving up to 3x faster decoding with zero quality degradation. Recipe: https://recipes.vllm.ai/Google/gemma-4-26B-A4B-it
Sampling Parameters
- Temperature: 0.7
- Top P: 0.95
- Top K: -1
- Min P: 0.0
- Max Tokens: 512
- Repetition Penalty: 1.0
Hardware Configuration
- Tensor Parallel Size: 1
- GPU Configuration: 1 GPU(s)
- Max Model Length: 4,096 tokens
Reproduce
hf jobs uv run \
--flavor a100-large \
--image vllm/vllm-openai:gemma4-0505-cu129 \
-s HF_TOKEN \
https://huggingface.co/datasets/uv-scripts/vllm/raw/main/gemma4-mtp.py \
davanstrien/haiku_dpo \
<output-dataset> \
--prompt-column question \
--split train \
--chunk-size 10 \
--temperature 0.7 \
--top-p 0.95 \
--max-tokens 512 --max-model-len 4096