Nex-N2-mini-GPTQ-Pro

Source And Credits

Source model:

• nex-agi/Nex-N2-mini

Quantization tooling and reference recipe:

• groxaxo/GPTQ-Pro
• groxaxo/Qwen3.6-27B-GPTQ-Pro-4bit

Artifact Summary

The source index/logs showed no mtp.* tensors. This artifact therefore normalizes text_config.mtp_num_hidden_layers to 0 and records the change under artifact_notes.mtp.

Quantization Recipe

Fallback smoothing was enabled for difficult groups with threshold 0.5%.

Intended Serving Shape

This checkpoint is intended for advanced users testing text-only GPTQ serving for Qwen3.6-style MoE models.

A starting vLLM shape for text-only testing:

bash
Copy code
vllm serve XReyRobert/Nex-N2-mini-GPTQ-Pro \
  --served-model-name nex-n2-mini-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 this as a starting point. Loader compatibility depends on vLLM, Transformers, GPTQModel, GPTQ-Marlin, and Qwen3.6 MoE support.

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 five 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:

Smoke24 is a fixed 24-task Terminal-Bench 2.0 comparison corpus, not a full Terminal-Bench leaderboard run. In this harness, Nex-N2-mini GPTQ-Pro tied the Qwen3.6 27B GPTQ reference on solved tasks but used more wall time and far more output tokens. That makes it a useful candidate for further serving and generation-control tuning, not an efficiency leader in this specific test.

Task list and harness shape:

• benchmarks/terminal-bench-2.0/smoke24_task_list_20260616.md

MTP And Vision Status

• mtp.* tensors are not present in this artifact.
• text_config.mtp_num_hidden_layers was normalized to 0.
• Do not enable MTP speculative decoding for this artifact.
• Vision/visual tensors are present, but multimodal serving has not been validated for this quantized artifact.

Limitations

• Experimental quantization.
• Terminal-Bench Smoke24 is a small local comparison corpus, not a full benchmark submission.
• Nex-N2-mini was verbose and reasoning-heavy in the Smoke24 harness; generation controls may need further tuning.
• MTP speculative decoding is not supported by 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-00005.safetensors through model-00005-of-00005.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

• Source model: nex-agi/Nex-N2-mini
• GPTQ-Pro tooling: groxaxo/GPTQ-Pro
• Reference recipe: groxaxo/Qwen3.6-27B-GPTQ-Pro-4bit
• Terminal-Bench: laude-institute/terminal-bench

Individual Project Notice

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