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signalnine/Qwopus3.6-27B-v2-MTP-q27
Qwopus3.6-27B-v2-MTP-q27 is a machine learning model from signalnine. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Repack of Qwopus3.6-27B-v2-MTP (a Qwen3.6-27B-MTP fine-tune by Jackrong) for the q27 inference engine. Same recipe family as the vanilla base repack; the fine-tune's higher MTP acceptance makes it ~35% faster under q2…
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Updated Jul 28, 2026
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From the Hugging Face model README
Repack of Qwopus3.6-27B-v2-MTP (a Qwen3.6-27B-MTP fine-tune by Jackrong) for the q27 inference engine. Same recipe family as the vanilla base repack; the fine-tune's higher MTP acceptance makes it ~35% faster under q27's speculative decoding on identical hardware (5.8 vs 3.6 tokens/round on real agent-transcript replay).
| file | md5 | size | bpw |
|---|---|---|---|
qwopus-27b-mtp.q27 (default) | 91b0db155192d3354b98386444e6b57a | 17.73 GB | 5.25 |
qwopus-27b-mtp-q4s.q27 | 727e103deecbde5223a6a1d556c191ab | 15.46 GB | 4.55 |
qwopus-27b-mtp-q6.q27 | af4baf2e6341e095201c432c6142b481 | 20.49 GB | 6.00 |
qwopus-27b-mtp-q6k.q27 | 1672c3bc5473aa21c7b98cfe6e8415ba | 23.25 GB | 6.80 |
qwopus-27b-mtp-q8.q27 | f85ae54cfc2872fab355b09a6d7d727a | 28.45 GB | 8.10 |
qwopus-27b-mtp.tok | bb95b3ca7647ce1cc061c141789e7102 | 7.2 MB | -- |
One tokenizer serves every tier; it is byte-identical to the base model's.
Measured 2026-07-27 on an RTX 5090. wikitext-2 PPL via
--nll wiki.test.qwopus.i32 --nll-chunk 2048 --ctx 2048 (297,054 tokens,
145 chunks). auto-ctx is the window --ctx auto resolves to at fp8 KV on a
32 GB card.
| tier | GB | PPL | HumanEval+ | LCB v6 | auto-ctx (fp8) | pick it when |
|---|---|---|---|---|---|---|
| q4s | 15.46 | 7.1851 | 30/30 | 19/30 | 262144 | the card is tight -- smallest file, full native window |
| default | 17.73 | 7.1132 | 30/30 | 20/30 | 262144 | the general pick: best size/context point |
| q6 | 20.49 | 7.0528 | 30/30 | 21/30 | 196608 | you have VRAM to spare and want the PPL margin |
| q6k | 23.25 | 7.0303 | 30/30 | 20/30 | 122880 | best measured PPL; pair with Q27_KV=turbo3 to keep 262144 |
| q8 | 28.45 | 7.0563* | -- | -- | does not fit 32 GB | 48 GB+ cards only; near-lossless reference |
* q8's PPL is measured on the --nll-serial path, because the batched path
OOMs at 28.45 GB of weights on a 32 GB card. Serial computes logits through
the decode kernel rather than prefill, so it was validated first: the default
tier reads 7.1154 serial vs 7.1132 batched, an offset of +0.0022 (0.031%).
q8's batched-equivalent is therefore ~7.0541. q8 also fails to boot as a
server on 32 GB (it was tried at --ctx 8192), so on a 5090-class card it
is a perplexity reference only.
1. The --q4-head recipe family that wins on vanilla LOSES here. On the
vanilla repack, the
q4s / q5f / q6f tiers exploit an error-cancellation effect between a single Q4
lm_head and Q4 residual writers -- q4s there measures BETTER than the larger
default. That does not reproduce on this fine-tune. Size-matched pairs, where
the only difference is the Q4 head:
| pair | GB | PPL | result |
|---|---|---|---|
| default vs q5f | 17.73 vs 18.22 | 7.1132 vs 7.1519 | default is smaller AND better (-0.54%) |
| q6 vs q6f | 20.49 vs 20.99 | 7.0528 vs 7.1283 | q6 is smaller AND better (-1.06%) |
q5f and q6f were built and measured but are deliberately not published here: on this checkpoint each is beaten by a smaller tier already in this repo. If you are porting tier guidance from the vanilla repo, do not -- the recipe family is checkpoint-specific, and every fine-tune needs its own sweep.
2. Tiers buy perplexity margin, not benchmark wins. HumanEval+ is 30/30 on every tier that boots. LCB v6 spans only 19-21/30, and that spread is noise, not ranking: of the 18 problems that failed at least once, only 2 failed on all six tiers, while 16 failed on some and passed on others. The best-PPL tier (q6k) fails problems the worst-PPL tier (q4s) passes. Pick by VRAM and context, not by the PPL column.
Bits are also non-monotonic in PPL: q8 (8.10 bpw) is beaten by q6k (6.80) and effectively tied by q6 (6.00). The same non-monotonicity appears on vanilla.
git clone https://github.com/signalnine/q27 && cd q27 && make
# bare defaults are the measured Claude-Code stack (fp8 KV, PMIN 0.5,
# MAXD auto7, fast-head, no-think); --ctx auto-sizes to VRAM
./build/q27-server qwopus-27b-mtp.q27 qwopus-27b-mtp.tok --port 8081
Verify a download:
md5sum -c CHECKSUMS.md5 --ignore-missing
Canonical gate (--tokens "760,6511,314,9338,369" --ctx 2048 --spec -n 128,
md5 of the generated: line, RTX 5090):
4c4120c72056aba2bc2d2561471eafce -- bitwise across the full spec-depth
ladder (d4/d5/d6/d7/auto). That anchor is for the default tier; each tier is
its own bitwise artifact and has its own canonical.
Qwen3.6-27B-MTP by Alibaba/Qwen (Apache-2.0); Qwopus v2 fine-tune + BF16 GGUF by Jackrong (Apache-2.0); q27 repack by signalnine.