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Steelskull / Model details

L3.3-MS-Nevoria-70b

Steelskull/L3.3-MS-Nevoria-70b

merged
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About this model

Steelskull's L3.3-MS-Nevoria-70b is a merged 70-billion-parameter Llama-3.3 model provided as safetensors weights under an "other" license. The model card describes it as combining EVA-LLaMA-3.33-70B-v0.1 for storytelling, L3.3-70B-Euryale-v2.3 for detailed scene descriptions, Anubis-70B-v1 for prose details, and Negative_LLAMA_70B to reduce positive bias, with nbeerbower/Llama-3.1-Nemotron-lorablated-70B as the base. The creator says the merge subtracts the lorablated base model during merging to create a "weight twisting" effect and unique response characteristics. According to the model card, user reviews praise creativity, character adherence, reduced positivity bias, and lack of soft refusals, and the card reports it as the highest-ranked 70B on the UGI leaderboard as of 01/17/2025. These claims have not been independently tested here.

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
EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1, Sao10K/L3.3-70B-Euryale-v2.3, SicariusSicariiStuff/Negative_LLAMA_70B, TheDrummer/Anubis-70B-v1, nbeerbower/Llama-3.1-Nemotron-lorablated-70B
Parameters
70.5537B
Main repository formats
safetensors
License tag
other
Languages
Unknown
Last updated
2025-01-28 · 02:46:48.000 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:EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
  • mergedsource tag: base_model:merge:Sao10K/L3.3-70B-Euryale-v2.3
  • mergedsource tag: base_model:merge:SicariusSicariiStuff/Negative_LLAMA_70B
  • mergedsource tag: base_model:merge:TheDrummer/Anubis-70B-v1
  • mergedsource tag: base_model:merge:nbeerbower/Llama-3.1-Nemotron-lorablated-70B

Family evidence

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

  • Llama: Base model: EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
  • Llama: Base model: SicariusSicariiStuff/Negative_LLAMA_70B
  • Llama: Base model: nbeerbower/Llama-3.1-Nemotron-lorablated-70B

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

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Markdown

[Listed on Custom Clankers](https://customclankers.com/models/steelskull-l3-3-ms-nevoria-70b/)

HTML

<a href="https://customclankers.com/models/steelskull-l3-3-ms-nevoria-70b/">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

Remove more refusals

  • Heretic ↗ ★ 36,457

    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 ↗ ★ 8,949

    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 ↗ ★ 78,549

    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 ↗ ★ 75,720

    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 ↗ ★ 132,313

    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 ↗ ★ 7,470

    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 ↗ ★ 7,415

    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 ↗ ★ 84,684

    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
246
Likes
191
Metadata checked
2026-10-26 · 04:15:31 UTC
First seen in index
2026-10-26 · 04:15:31 UTC
Source revision
19610dc97f8200d52f35137c23857d289709c9bb

Source-card excerpt

Source model card excerpt: L3.3-MS-Nevoria-70B L3.3-MS-Nevoria-70B Created by SteelSkull → Model Information L3.3-MS-Nevoria-70B L3.3 = Llama 3.3 MS = Model Stock 70B Parameters Model Composition EVA-LLAMA-0.1 Storytelling capabilities

From Steelskull/L3.3-MS-Nevoria-70b. 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 ↗