XReyRobert

Qwopus3.6-35B-A3B-v1-GPTQ-Pro

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README

License: apache-2.0

Source And Credits

Source model:

Quantization tooling and reference recipe:

Thanks to Jackrong for the Qwopus3.6 model and to groxaxo for the GPTQ-Pro tooling and Qwen3.6 GPTQ-Pro recipe this run was aligned with.

Artifact Summary

Table
FieldValue
Source modelJackrong/Qwopus3.6-35B-A3B-v1
ArchitectureQwen3_5MoeForConditionalGeneration
Model typeqwen3_5_moe
Tensor files6
Safetensors size20.81 GiB
Indexed tensors124595
Quantized qweight tensors30970
mtp.* tensors in indextrue
vision/visual tensors in indextrue
Index metadata size matches shardstrue

The artifact contains source MTP and vision/visual tensors in its weight index. That does not mean MTP speculative decoding or multimodal serving is already recommended. The validated use so far is text-oriented GPTQ serving and Terminal-Bench agent evaluation.

Quantization Recipe

Table
SettingValue
MethodGPTQ-Pro / GPTQModel
Bits4
Group size128
Symmetric quantizationtrue
Desc actfalse
True sequentialtrue
Calibration datasetWikiText
Calibration samples256
Calibration sequence length2048
MSE2.0
Damp percent0.05
Damp auto increment0.01
FOEM alpha0.25
FOEM beta0.2
FOEM devicecuda:0
MoE routingExpertsRoutingBypass
MoE bypass batch size192
Pack implementationcpu

Dynamic skip rules preserved these module families instead of quantizing them:

  • embed_tokens
  • lm_head
  • mtp
  • norm
  • vision
  • visual

In practical terms, the language tower linear layers are the intended GPTQ-Pro payload, while embeddings, norms, MTP, and vision-related tensors remain preserved as non-quantized tensors.

Intended Serving Shape

This checkpoint is intended for advanced users testing text-only vLLM or GPTQ-compatible serving for Qwen/Qwopus MoE checkpoints.

A starting vLLM shape for text-only testing:

bash

vllm serve XReyRobert/Qwopus3.6-35B-A3B-v1-GPTQ-Pro \
--served-model-name qwopus3.6-35b-a3b-v1-gptq-pro \
--language-model-only \
--dtype float16 \
--quantization gptq_marlin \
--tensor-parallel-size 1 \
--max-model-len 262144 \
--max-num-seqs 1 \
--kv-cache-dtype fp8_e5m2 \
--reasoning-parser qwen3 \
--enable-auto-tool-choice \
--tool-call-parser qwen3_coder \
--enable-prefix-caching \
--gpu-memory-utilization 0.95 \
--trust-remote-code

Treat the command as a serving starting point, not a compatibility guarantee for every vLLM release. GPTQ-Marlin, Qwen3.6 MoE handling, and multimodal processor behavior are all loader-version sensitive.

The RTX 3090 image above reflects separate 262k-context serving validation.

Validation And Benchmarks

Completed artifact checks:

  • Local shard index inspection completed before upload.
  • Remote file list verified after upload.
  • Remote model.safetensors.index.json verified after upload.
  • Index metadata total size matches the local safetensor shards.
  • The remote artifact contains the expected six safetensor shards.

Terminal-Bench 2.0 Smoke24 result and associated vLLM serving measurements. This Smoke24 run used max_model_len=131072 for apples-to-apples comparison with the other local models in this publication batch:

Table
RunScoreSuccess rateWall-timeOutput tokensObserved decodeLLM API time
qwopus3.6-35b-a3b-v1-gptq-pro-foem-4bit-g128-ns25612/2450.0%226.7m622.8k138.6 tok/s74.9m

Smoke24 is a fixed 24-task Terminal-Bench 2.0 comparison corpus, not a full Terminal-Bench leaderboard run. The score above is useful for fast regression and local serving comparison, not for broad model ranking.

Task list and harness shape:

MTP And Vision Status

  • config.json advertises MTP support, and the index contains mtp.* tensors.
  • MTP tensors were preserved, not the primary quantization target for this release.
  • MTP speculative decoding has not yet been validated as a recommended path for this artifact.
  • Vision/visual tensors are present, but multimodal serving has not yet been validated for this quantized artifact.

For now, publish and use this as a text-first GPTQ-Pro MoE artifact.

Limitations

  • Experimental quantization.
  • Terminal-Bench Smoke24 is a small local comparison corpus, not a full benchmark submission.
  • MTP speculative decoding is not yet a supported recommendation for this artifact.
  • Vision tensors are preserved, but vision behavior has not been validated.
  • Loader behavior may vary across vLLM, Transformers, GPTQModel, and GPTQ-Marlin versions.

Files

Key files:

  • model.safetensors.index.json
  • model-00001-of-00006.safetensors through model-00006-of-00006.safetensors
  • config.json
  • quantize_config.json
  • processor_config.json
  • tokenizer.json
  • UPLOAD_MANIFEST.json

UPLOAD_MANIFEST.json records the upload guardrail checks and artifact inspection summary.

References

Individual Project Notice

This repository is an individual research project. It is not affiliated with, sponsored by, or endorsed by any employer or organization.

Model provider

XReyRobert

Model tree

Base

Jackrong/Qwopus3.6-35B-A3B-v1

Quantized

this model

Modalities

Input

Video, Text, Image

Output

Text

Pricing

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Supported Functionality

Model APIs

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Container

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