Naphula / Model details

G4-Runic-Oarfish-26B-A4B-v1

Naphula/G4-Runic-Oarfish-26B-A4B-v1

merged

Read the original model card ↗ · Choosing a model

About this model

Naphula's G4-Runic-Oarfish-26B-A4B-v1 is a merged safetensors checkpoint for image-text-to-text tasks, released under Apache-2.0. Hugging Face metadata lists ApocalypseParty/G4-26B-SFT-6, AuriAetherwiing/G4-26B-A4B-Musica-v1, and google/gemma-4-26B-A4B-it as base models; the model card describes a creative roleplay merge of Musica with SFT-6 using a custom moe_karcher method adapted from the standard karcher method for mixture-of-experts models. The creator says the merge required patches to mergekit for the Gemma 4 architecture and notes there were issues setting up the merge, so vision mode might be disabled. According to the model card, Runic Oarfish has some refusals but can be jailbroken or ablated as needed. The total safetensors parameter count is 25,260,865,822.

Description sources

https://huggingface.co/Naphula/G4-Runic-Oarfish-26B-A4B-v1/raw/04ef9694e3d61f57c9e2abb727da3293d7d80878/README.md ↗

Source-based description, not an independent evaluation. Check the linked sources for the creator’s claims and limitations.

Size and formats

Base model: ApocalypseParty/G4-26B-SFT-6, AuriAetherwiing/G4-26B-A4B-Musica-v1, google/gemma-4-26B-A4B-it
Parameters: 25.2609B
Main repository formats: safetensors
License tag: apache-2.0
Languages: eng
Last updated: 2026-05-07 · 17:20:38.000 UTC

What changed

Model types are creator-reported, not independently tested. These labels describe source metadata, not a guarantee of behavior.

mergedsource tag: base_model:merge:ApocalypseParty/G4-26B-SFT-6
mergedsource tag: base_model:merge:AuriAetherwiing/G4-26B-A4B-Musica-v1
mergedsource tag: base_model:merge:google/gemma-4-26B-A4B-it

Family evidence

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

Gemma: Base model: google/gemma-4-26B-A4B-it

Available versions

Versions appear here only when they explicitly name this exact model as their source. Check each repository for available files.

Link to this listing

Made or quantized this model? Paste one of these into your model card or README so people can find this listing.

Markdown

[Listed on Custom Clankers](https://customclankers.com/models/naphula-g4-runic-oarfish-26b-a4b-v1/)

HTML

<a href="https://customclankers.com/models/naphula-g4-runic-oarfish-26b-a4b-v1/">Listed on Custom Clankers</a>

Plain text links only: no image, no script, nothing loaded from this site.

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

Remove more refusals

Heretic ↗ ★ 36,553
Removes refusal behavior from transformer models automatically. It pairs directional ablation (abliteration) with an Optuna parameter search that tries to cut refusals while keeping the model close to the original, so you don't have to pick layers by hand.
OBLITERATUS ↗ ★ 8,966
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 ↗ ★ 78,592
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.
LlamaFactory ↗ ★ 75,742
Fine-tunes more than 100 language and vision-language models from a command line or a browser-based Web UI, aimed at training without writing code.

Make a smaller download (quantize)

llama.cpp ↗ ★ 132,430
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 ↗ ★ 7,479
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 ↗ ★ 7,418
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 ↗ ★ 84,721
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.

Compare all tools →

Source provenance

Downloads: 34
Likes: 4
Metadata checked: 2026-10-27 · 04:11:24 UTC
First seen in index: 2026-10-27 · 04:11:24 UTC
Source revision: 04ef9694e3d61f57c9e2abb727da3293d7d80878

Source-card excerpt

Source model card excerpt: 🐟 G4 Runic Oarfish 26B A4B v1 This is a creative RP merge which combines Musica with the full LORA of MeroMero. It uses

From Naphula/G4-Runic-Oarfish-26B-A4B-v1. 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 ↗