Naphula / Model details
G4-Runic-Oarfish-26B-A4B-v1.2
Naphula/G4-Runic-Oarfish-26B-A4B-v1.2
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About this model
Naphula's G4 Runic Oarfish 26B A4B v1.2 is a merged checkpoint combining AuriAetherwiing's G4-26B-A4B-Musica-v1, ApocalypseParty's G4-26B-SFT-6 (MeroMero LORA), and Darkhn's Gemma-4-26B-A4B-Animus-V14.1-FFT using a custom moe_karcher method adapted for Gemma4's mixture-of-experts architecture. The creator says the merge produces different creative role-play output than earlier versions and notes that vision mode may be disabled due to setup issues. The model is provided as bfloat16 safetensors weights under an Apache-2.0 license. According to the model card, it retains some refusals but can be jailbroken or ablated, and the creator reports improved writing quality over v1 while acknowledging persistent prose quirks.
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
- ApocalypseParty/G4-26B-SFT-6, AuriAetherwiing/G4-26B-A4B-Musica-v1, Darkhn/Gemma-4-26B-A4B-Animus-V14.1-FFT, google/gemma-4-26B-A4B-it
- Parameters
- 25.2609B
- Main repository formats
- safetensors
- License tag
- apache-2.0
- Languages
- eng
- Last updated
- 2026-05-08 · 14:22:31.000 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:Darkhn/Gemma-4-26B-A4B-Animus-V14.1-FFT
- 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: Darkhn/Gemma-4-26B-A4B-Animus-V14.1-FFT
- Gemma: Base model: google/gemma-4-26B-A4B-it
Available versions
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Link to this listing
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Markdown
[Listed on Custom Clankers](https://customclankers.com/models/naphula-g4-runic-oarfish-26b-a4b-v1-2/)HTML
<a href="https://customclankers.com/models/naphula-g4-runic-oarfish-26b-a4b-v1-2/">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
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- 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.
Source provenance
- Downloads
- 99
- Likes
- 11
- Metadata checked
- 2026-10-27 · 04:11:24 UTC
- First seen in index
- 2026-10-27 · 04:11:24 UTC
- Source revision
- 5866f1690dea25b27010cfb8e6d02f1499b6edc4
Source-card excerpt
Source model card excerpt: 🐟 G4 Runic Oarfish 26B A4B v1.2 This is a creative RP merge which combines Musica with the full LORA of MeroMero. v1.2 also
From Naphula/G4-Runic-Oarfish-26B-A4B-v1.2. 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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