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invisietch / Model details

Sun-v0.1-8B

invisietch/Sun-v0.1-8B

merged
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About this model

invisietch's Sun-v0.1-8B is a merge of pre-trained language models created with mergekit, made as one merge component for EtherealRainbow-v0.2-8B. According to the model card, it uses the DARE TIES method with Gryphe/Pantheon-RP-1.0-8b-Llama-3 as the base, while incorporating Locutusque/Llama-3-Hercules-5.0-8B, aaditya/Llama3-OpenBioLLM-8B, and Blackroot/Llama-3-LongStory. The listed configuration uses bfloat16 and int8 masks, and the repository provides safetensors weights. The creator describes the standalone checkpoint as pretty unusable because of bugs and issues, but says that merging it into another base seems to increase response length and prose quality. No license is specified in the metadata.

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
Blackroot/Llama-3-LongStory, Gryphe/Pantheon-RP-1.0-8b-Llama-3, Locutusque/Llama-3-Hercules-5.0-8B, aaditya/Llama3-OpenBioLLM-8B
Parameters
8.03026B
Main repository formats
safetensors
License tag
Unknown
Languages
Unknown
Last updated
2024-06-15 · 11:01:53.000 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:Blackroot/Llama-3-LongStory
  • mergedsource tag: base_model:merge:Gryphe/Pantheon-RP-1.0-8b-Llama-3
  • mergedsource tag: base_model:merge:Locutusque/Llama-3-Hercules-5.0-8B
  • mergedsource tag: base_model:merge:aaditya/Llama3-OpenBioLLM-8B

Family evidence

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

  • Llama: Base model: Blackroot/Llama-3-LongStory
  • Llama: Base model: Gryphe/Pantheon-RP-1.0-8b-Llama-3
  • Llama: Base model: Locutusque/Llama-3-Hercules-5.0-8B
  • Llama: Base model: aaditya/Llama3-OpenBioLLM-8B

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/invisietch-sun-v0-1-8b/)

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<a href="https://customclankers.com/models/invisietch-sun-v0-1-8b/">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

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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.

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Source provenance

Downloads
17
Likes
0
Metadata checked
2026-10-26 · 16:11:04 UTC
First seen in index
2026-10-26 · 16:11:04 UTC
Source revision
095e1d05ec0ebfe46836149b8a10a2f878d4c50c

Source-card excerpt

Source model card excerpt: Sun-v0.1-8B This is a merge of pre-trained language models created using mergekit. This is one of my merge parts for EtherealRainbow-v0.2-8B. It's pretty unusable

From invisietch/Sun-v0.1-8B. 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 ↗