aifeifei798 / Model details
Qwen3.8-Couture-Engine-27B
aifeifei798/Qwen3.8-Couture-Engine-27B
About this model
aifeifei798's derivative of Qwen3.8-27B, provided as safetensors weights under Apache-2.0. The creator describes this as an industrial-grade deterministic physics solver, not a general chat model, trained to produce singular convergent engineering proposals from first principles. According to the model card, it autonomously corrects geometric clashes (e.g., planet gear overlap) mid-reasoning and prioritizes back-drivability and thermal compliance in multi-physics benchmarks like humanoid knee actuators. The supplied configuration sets the architecture to Qwen3_5ForConditionalGeneration with image-text-to-text pipeline support; claims about mathematical self-correction or deterministic outputs have not been independently verified.
Description sources
Source-based description, not an independent evaluation. Check the linked sources for the creator’s claims and limitations.
Size and formats
- Base model
- Qwen/Qwen3.8-27B
- Parameters
- 27.3567B
- Main repository formats
- safetensors
- License tag
- apache-2.0
- Languages
- Unknown
- Last updated
- 2026-08-23 · 21:54:08.000 UTC
What changed
Model types are creator-reported, not independently tested. These labels describe source metadata, not a guarantee of behavior.
- fine-tunedsource tag:
base_model:finetune:Qwen/Qwen3.8-27B
Family evidence
These groupings are source-reported. Explicit base identifiers take priority over generic architecture tags.
- Qwen: Base model: Qwen/Qwen3.8-27B
Available versions
Versions appear here only when they explicitly name this exact model as their source. Check each repository for available files.
- Main repository files ↗safetensors
- No other explicitly linked versions recorded.
Link to this listing
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Markdown
[Listed on Custom Clankers](https://customclankers.com/models/aifeifei798-qwen3-8-couture-engine-27b/)HTML
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Customize or build on this model
Listed from public GitHub data, not tested by us. Read the code and license before you run anything.
Tools to customize it further
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- OBLITERATUS ↗ ★ 8,946
A larger refusal-removal toolkit with several abliteration methods, usable locally or through a hosted Hugging Face Space. Check the telemetry setting before you run it: the README describes telemetry as opt-in, but on by default in the Spaces version.
Fine-tune it on your own data
- Unsloth ↗ ★ 78,528
A desktop app and Python library for running and training models locally. Its README lists LoRA, QLoRA, full fine-tuning, DPO and GRPO, plus export to formats including GGUF, on Windows, Linux, WSL and macOS.
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Make a smaller download (quantize)
- llama.cpp ↗ ★ 132,260
Runs models locally and includes the tools behind most GGUF files. A conversion script turns Hugging Face weights into GGUF, and llama-quantize shrinks a high-precision GGUF to lower-bit formats, which can cost some accuracy.
- MLX LM ↗ ★ 7,467
Apple's MLX package for running and fine-tuning models on Apple silicon. It can quantize models and upload them to the Hugging Face Hub, and supports LoRA and full fine-tuning.
Merge it with another model
- mergekit ↗ ★ 7,414
Merges pretrained models with many merge methods. It works out-of-core, so merges can run on a CPU or with as little as 8 GB of VRAM, and it also handles LoRA extraction and mixture-of-experts merges.
Learn the techniques
- LLM Course ↗ ★ 84,667
A free course with roadmaps and Colab notebooks. Its notebooks include one-click tools for merging with MergeKit, quantizing to GGUF, GPTQ, EXL2, AWQ and HQQ, and automatic abliteration with custom datasets.
Source provenance
- Downloads
- 22
- Likes
- 2
- Metadata checked
- 2026-10-25 · 08:11:54 UTC
- First seen in index
- 2026-10-25 · 08:11:54 UTC
- Source revision
- 065a0df6b495cae280e25570a97d8f758575b0df
Source-card excerpt
Source model card excerpt: 🤖 Frontier LLM Multi-Physics Engineering Benchmark: Humanoid Robotic Knee Actuator Benchmark Challenge Prompt (Ready for Replication): "Design a heavy-duty explosive knee joint electric drive
From aifeifei798/Qwen3.8-Couture-Engine-27B. Creator model-card excerpt, not an independent review.
Inspect before you run
Low refusal is not proof of correctness. Outputs can be inaccurate, harmful, or biased. Review the model card, license and files yourself. A license tag is not commercial-use advice. Parameter counts are source metadata; no hardware compatibility is implied.
This directory does not host or redistribute model weights. Refusal profiles are measured by us on a fixed prompt set; all other behavior claims are source-reported.
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