Downloads · 30 days
11
0% of all-time downloads
XReyRobert/Qwopus3.6-27B-v2-GPTQ-Pro-MTP-BF16
Qwopus3.6-27B-v2-GPTQ-Pro-MTP-BF16 is a image-text-to-text model from XReyRobert. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as other.
Experimental MTP BF16 patch for Jackrong/Qwopus3.6-27B-v2.
Downloads · 30 days
11
0% of all-time downloads
All-time downloads
5.5K
Public
Parameters
27.8B
19.6 GB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors19.6 GB · 100%
How the weights are stored.
I3224.3B · 88%
From the Hugging Face model README
Experimental MTP BF16 patch for Jackrong/Qwopus3.6-27B-v2.
This artifact starts from XReyRobert/Qwopus3.6-27B-v2-GPTQ-Pro-v1 and restores the original source mtp.*
tensors from Jackrong/Qwopus3.6-27B-v2. The main language model remains the GPTQ-Pro
parent artifact. The MTP tensors in this repository are BF16 source tensors,
not GPTQ-quantized tensors.
XReyRobert/Qwopus3.6-27B-v2-GPTQ-Pro-v1Jackrong/Qwopus3.6-27B-v2mtp.* tensors: 15{"bfloat16": 15}18.22 GiB total safetensorsThis is meant for loader and vLLM speculative-decoding experiments. Previous testing on 1x RTX 3090 showed that restoring MTP made draft acceptance work, but did not improve throughput versus the non-MTP GPTQ-Pro baseline. The likely bottleneck was vLLM/GPTQ-Marlin speculative path overhead rather than MTP tensor precision.
For practical long-context 1x RTX 3090 serving, the non-MTP baseline remains the recommended artifact:
XReyRobert/Qwopus3.6-27B-v2-GPTQ-Pro-v1
Structural checks performed during patch creation:
model.safetensors.index.json contains restored mtp.* keys.config.json records mtp_num_hidden_layers >= 1.Runtime serving validation is still required before treating this as a working MTP deployment artifact.