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SteelStorage / Model details

L3.1-MS-Hytroblated-70B

SteelStorage/L3.1-MS-Hytroblated-70B

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About this model

SteelStorage's merge of several Llama 3.1 70B derivatives, provided as safetensors weights. According to the model card, it was created with mergekit using the Model Stock method, with mlabonne/Llama-3.1-70B-Instruct-lorablated as the base and three additional models merged in: mlabonne/Hermes-3-Llama-3.1-70B-lorablated, nbeerbower/Llama-3.1-Nemotron-lorablated-70B, and abacusai/Dracarys2-Llama-3.1-70B-Instruct. The creator describes the result as an experimental base model for possible Nevoria v1.1. The repository lists no license.

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
abacusai/Dracarys2-Llama-3.1-70B-Instruct, mlabonne/Hermes-3-Llama-3.1-70B-lorablated, mlabonne/Llama-3.1-70B-Instruct-lorablated, nbeerbower/Llama-3.1-Nemotron-lorablated-70B
Parameters
70.5537B
Main repository formats
safetensors
License tag
Unknown
Languages
Unknown
Last updated
2025-01-21 · 01:58:12.000 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:abacusai/Dracarys2-Llama-3.1-70B-Instruct
  • mergedsource tag: base_model:merge:mlabonne/Hermes-3-Llama-3.1-70B-lorablated
  • mergedsource tag: base_model:merge:mlabonne/Llama-3.1-70B-Instruct-lorablated
  • 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: abacusai/Dracarys2-Llama-3.1-70B-Instruct
  • Llama: Base model: mlabonne/Hermes-3-Llama-3.1-70B-lorablated
  • Llama: Base model: mlabonne/Llama-3.1-70B-Instruct-lorablated
  • 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/steelstorage-l3-1-ms-hytroblated-70b/)

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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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    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

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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.

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Source provenance

Downloads
19
Likes
0
Metadata checked
2026-10-26 · 20:14:14 UTC
First seen in index
2026-10-26 · 20:14:14 UTC
Source revision
e81dad622ac7df7d2fe1debb7eb5671744bf95fa

Source-card excerpt

Source model card excerpt: Experimantal base model for possible Nevoria v1.1 merge This is a merge of pre-trained language models created using mergekit. Merge Details Merge Method This

From SteelStorage/L3.1-MS-Hytroblated-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 ↗