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nbeerbower / Model details

Qwen3.6-27B-Chud-LoRA

nbeerbower/Qwen3.6-27B-Chud-LoRA

fine-tuned
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About this model

nbeerbower's LoRA adapter derived from nbeerbower/BigBubba-Qwen3.6-27B. The creator describes the change as an ORPO run with synthetic data from Grok 4.5, and the model card lists LoRA rank 32, alpha 64, and target modules down_proj, gate_proj, q_proj, up_proj, o_proj, v_proj, and k_proj. The adapter is provided as safetensors weights, and the repository does not list a license. Hugging Face metadata tags the repository as image-text-to-text, but the model card does not describe multimodal capabilities or evaluations.

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
nbeerbower/BigBubba-Qwen3.6-27B
Parameters
Unknown
Main repository formats
safetensors
License tag
Unknown
Languages
Unknown
Last updated
2026-07-31 · 19:20:26.000 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:nbeerbower/BigBubba-Qwen3.6-27B

Family evidence

These groupings are source-reported. Explicit base identifiers take priority over generic architecture tags.

  • Qwen: Base model: nbeerbower/BigBubba-Qwen3.6-27B

Available versions

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Link to this listing

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Markdown

[Listed on Custom Clankers](https://customclankers.com/models/nbeerbower-qwen3-6-27b-chud-lora/)

HTML

<a href="https://customclankers.com/models/nbeerbower-qwen3-6-27b-chud-lora/">Listed on Custom Clankers</a>

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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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Fine-tune it on your own data

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Make a smaller download (quantize)

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Merge it with another model

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Learn the techniques

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    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.

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Source provenance

Downloads
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Metadata checked
2026-10-25 · 20:12:36 UTC
First seen in index
2026-10-25 · 20:12:36 UTC
Source revision
d3cc57435d47d385c74065ac3ba2a29a0b9fb5b8

Source-card excerpt

Source model card excerpt: nbeerbower/Qwen3.6-27B-Chud-LoRA ORPO run with synthetic data from Grok 4.5 Training Configuration Parameter Value ----------- ------- Training Mode POST HOC UPLOAD Base Model nbeerbower/BigBubba-Qwen3.6-27B LoRA

From nbeerbower/Qwen3.6-27B-Chud-LoRA. 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.

Collection rules & limitations ↗