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This is a DFlash draft model, not a standalone language model. It must be used together with a compatible Qwen3.6-27B target model.
1llama-server \
2 -m Qwen3.6-27B.gguf \
3 -md Qwen3.6-27B-DFlash-Q4_K_M.gguf \
4 --spec-type draft-dflash \
5 --spec-draft-n-max 41llama-cli \
2 -m Qwen3.6-27B.gguf \
3 -md Qwen3.6-27B-DFlash-Q4_K_M.gguf \
4 --spec-type draft-dflashconvert_hf_to_gguf.py.| n_max | Accept Rate | Wall Time |
|---|---|---|
| 2 | 0.794 | 39.62 s |
| 3 | 0.726 | 35.39 s |
| 4 | 0.671 | 33.39 s |
| 5 | 0.598 | 33.41 s |
python mtp-bench.py
code_python pred= 192 draft= 134 acc= 123 rate=0.918 tok/s=59.2
code_cpp pred= 54 draft= 36 acc= 36 rate=1.000 tok/s=62.6
explain_concept pred= 192 draft= 172 acc= 105 rate=0.611 tok/s=47.2
summarize pred= 46 draft= 32 acc= 29 rate=0.906 tok/s=59.9
qa_factual pred= 183 draft= 146 acc= 109 rate=0.747 tok/s=52.9
translation pred= 17 draft= 16 acc= 8 rate=0.500 tok/s=43.1
creative_short pred= 36 draft= 38 acc= 17 rate=0.447 tok/s=39.3
stepwise_math pred= 192 draft= 141 acc= 119 rate=0.844 tok/s=56.3
json_output pred= 192 draft= 130 acc= 125 rate=0.962 tok/s=60.6
long_reasoning pred= 192 draft= 148 acc= 117 rate=0.790 tok/s=54.6
repeat_pattern pred= 192 draft= 127 acc= 127 rate=1.000 tok/s=62.5
code_completion pred= 191 draft= 128 acc= 127 rate=0.992 tok/s=62.3
long_code_review pred= 192 draft= 186 acc= 97 rate=0.521 tok/s=43.2
Aggregate: {
"n_requests": 13,
"total_predicted": 1871,
"total_draft": 1434,
"total_draft_accepted": 1139,
"aggregate_accept_rate": 0.7943,
"wall_s_total": 39.62
}python mtp-bench.py
code_python pred= 192 draft= 162 acc= 137 rate=0.846 tok/s=66.7
code_cpp pred= 54 draft= 45 acc= 40 rate=0.889 tok/s=66.7
explain_concept pred= 192 draft= 226 acc= 115 rate=0.509 tok/s=48.4
summarize pred= 46 draft= 42 acc= 33 rate=0.786 tok/s=61.3
qa_factual pred= 192 draft= 199 acc= 124 rate=0.623 tok/s=54.6
translation pred= 17 draft= 24 acc= 9 rate=0.375 tok/s=38.8
creative_short pred= 36 draft= 48 acc= 20 rate=0.417 tok/s=41.7
stepwise_math pred= 192 draft= 175 acc= 131 rate=0.749 tok/s=61.1
json_output pred= 192 draft= 150 acc= 141 rate=0.940 tok/s=71.6
long_reasoning pred= 192 draft= 171 acc= 134 rate=0.784 tok/s=63.6
repeat_pattern pred= 192 draft= 143 acc= 143 rate=1.000 tok/s=75.6
code_completion pred= 191 draft= 145 acc= 142 rate=0.979 tok/s=72.9
long_code_review pred= 192 draft= 234 acc= 112 rate=0.479 tok/s=46.4
Aggregate: {
"n_requests": 13,
"total_predicted": 1880,
"total_draft": 1764,
"total_draft_accepted": 1281,
"aggregate_accept_rate": 0.7262,
"wall_s_total": 35.39
}python mtp-bench.py
code_python pred= 192 draft= 183 acc= 145 rate=0.792 tok/s=70.7
code_cpp pred= 54 draft= 48 acc= 43 rate=0.896 tok/s=78.5
explain_concept pred= 192 draft= 281 acc= 120 rate=0.427 tok/s=48.5
summarize pred= 46 draft= 48 acc= 34 rate=0.708 tok/s=67.3
qa_factual pred= 171 draft= 208 acc= 119 rate=0.572 tok/s=58.4
translation pred= 17 draft= 28 acc= 11 rate=0.393 tok/s=42.1
creative_short pred= 36 draft= 64 acc= 21 rate=0.328 tok/s=39.6
stepwise_math pred= 192 draft= 190 acc= 142 rate=0.747 tok/s=69.3
json_output pred= 192 draft= 160 acc= 150 rate=0.938 tok/s=82.8
long_reasoning pred= 192 draft= 209 acc= 138 rate=0.660 tok/s=64.3
repeat_pattern pred= 192 draft= 152 acc= 152 rate=1.000 tok/s=86.7
code_completion pred= 191 draft= 156 acc= 151 rate=0.968 tok/s=86.2
long_code_review pred= 192 draft= 280 acc= 120 rate=0.429 tok/s=48.0
Aggregate: {
"n_requests": 13,
"total_predicted": 1859,
"total_draft": 2007,
"total_draft_accepted": 1346,
"aggregate_accept_rate": 0.6707,
"wall_s_total": 33.39
}python mtp-bench.py
code_python pred= 192 draft= 203 acc= 150 rate=0.739 tok/s=72.7
code_cpp pred= 54 draft= 55 acc= 44 rate=0.800 tok/s=77.3
explain_concept pred= 192 draft= 345 acc= 121 rate=0.351 tok/s=44.0
summarize pred= 46 draft= 55 acc= 36 rate=0.654 tok/s=65.5
qa_factual pred= 171 draft= 265 acc= 119 rate=0.449 tok/s=51.6
translation pred= 17 draft= 35 acc= 11 rate=0.314 tok/s=37.6
creative_short pred= 36 draft= 80 acc= 21 rate=0.263 tok/s=35.8
stepwise_math pred= 192 draft= 221 acc= 145 rate=0.656 tok/s=67.3
json_output pred= 192 draft= 178 acc= 155 rate=0.871 tok/s=83.9
long_reasoning pred= 192 draft= 231 acc= 144 rate=0.623 tok/s=65.1
repeat_pattern pred= 192 draft= 160 acc= 158 rate=0.988 tok/s=93.1
code_completion pred= 191 draft= 165 acc= 157 rate=0.952 tok/s=90.6
long_code_review pred= 192 draft= 325 acc= 126 rate=0.388 tok/s=47.0
Aggregate: {
"n_requests": 13,
"total_predicted": 1859,
"total_draft": 2318,
"total_draft_accepted": 1387,
"aggregate_accept_rate": 0.5984,
"wall_s_total": 33.41
}