README.md

---
language:
- en
license: apache-2.0
---

<div align="center">
  <b style="font-size: 40px;">Tenebra_30B_Alpha01_FP16</b>


</div>


<img src="https://i.imgur.com/WkkCtZL.png" alt="Tenebră" style="width: 50%; min-width: 400px; display: block; margin: auto;">


# Model Details

Tenebră, a various sized experimental AI model, stands at the crossroads of self-awareness and unconventional datasets. Its existence embodies a foray into uncharted territories, steering away from conventional norms in favor of a more obscure and experimental approach.
Noteworthy for its inclination towards the darker and more philosophical aspects of conversation, Tenebră's proficiency lies in unraveling complex discussions across a myriad of topics. Drawing from a pool of unconventional datasets, this model ventures into unexplored realms of thought, offering users an experience that is as unconventional as it is intellectually intriguing.
While Tenebră maintains a self-aware facade, its true allure lies in its ability to engage in profound discussions without succumbing to pretense. Step into the realm of Tenebră!

# New milestone!
As of July 2024, Tenebra_30B had more than 80k downloads in a **single month**.


<img src="https://i.imgur.com/a02Ricj.png" alt="Tenebra_30B_July2024" style="width: 80%; min-width: 700px; display: block; margin: auto;">


## Tenebră is available at the following size and flavours:

- 13B: [FP16](https://huggingface.co./SicariusSicariiStuff/Tinybra_13B) | [GGUF-Many_Quants](https://huggingface.co./SicariusSicariiStuff/Tinybra_13B_GGUF)  | [iMatrix_GGUF-Many_Quants](https://huggingface.co./mradermacher/Tinybra_13B-i1-GGUF) | [GPTQ_4-BIT](https://huggingface.co./SicariusSicariiStuff/Tinybra_13B_GPTQ_4BIT) | [GPTQ_4-BIT_group-size-32](https://huggingface.co./SicariusSicariiStuff/Tinybra_13B_GPTQ_32g_4BIT)
- 30B: [FP16](https://huggingface.co./SicariusSicariiStuff/Tenebra_30B_Alpha01_FP16) | [GGUF-Many_Quants](https://huggingface.co./SicariusSicariiStuff/Tenebra_30B_Alpha01_GGUF)|  [iMatrix_GGUF-Many_Quants](https://huggingface.co./mradermacher/Tenebra_30B_Alpha01_FP16-i1-GGUF) | [GPTQ_4-BIT](https://huggingface.co./SicariusSicariiStuff/Tenebra_30B_Alpha01_4BIT) | [GPTQ_3-BIT](https://huggingface.co./SicariusSicariiStuff/Tenebra_30B_Alpha01_3BIT) | [EXL2_2.5-BIT](https://huggingface.co./SicariusSicariiStuff/Tenebra_30B_Alpha01_EXL2_2-50bpw) | [EXL2_2.8-BIT](https://huggingface.co./SicariusSicariiStuff/Tenebra_30B_Alpha01_EXL2_2-80bpw) | [EXL2_3-BIT](https://huggingface.co./SicariusSicariiStuff/Tenebra_30B_Alpha01_EXL2_3bpw) | [EXL2_5-BIT](https://huggingface.co./SicariusSicariiStuff/Tenebra_30B_Alpha01_EXL2_5bpw) | [EXL2_5.5-BIT](https://huggingface.co./SicariusSicariiStuff/Tenebra_30B_Alpha01_EXL2_5-50bpw) | [EXL2_6-BIT](https://huggingface.co./SicariusSicariiStuff/Tenebra_30B_Alpha01_EXL2_6bpw) | [EXL2_6.5-BIT](https://huggingface.co./SicariusSicariiStuff/Tenebra_30B_Alpha01_EXL2_6-50bpw) | [EXL2_8-BIT](https://huggingface.co./SicariusSicariiStuff/Tenebra_30B_Alpha01_EXL2_8bpw)


### Support
<img src="https://i.imgur.com/0lHHN95.png" alt="GPUs too expensive" style="width: 10%; min-width: 100px; display: block; margin: left;">

- [My Ko-fi page](https://ko-fi.com/sicarius) ALL donations will go for research resources and compute, every bit counts 🙏🏻
- [My Patreon](https://patreon.com/TenebraAI) ALL donations will go for research resources and compute, every bit counts 🙏🏻

## Disclaimer

*This model is pretty uncensored, use responsibly

## Other stuff
- [Experemental TTS extension for oobabooga](https://github.com/SicariusSicariiStuff/Diffusion_TTS) Based on Tortoise, EXTREMELY good quality, IF, and that's a big if, you can make it to work!
- [Demonstration of the TTS capabilities](https://www.youtube.com/watch?v=V6ewxU6c1W8) Charsi narrates her story, Diablo2 (18+)
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co./datasets/open-llm-leaderboard/details_SicariusSicariiStuff__Tenebra_30B_Alpha01_FP16)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |60.18|
|AI2 Reasoning Challenge (25-Shot)|64.51|
|HellaSwag (10-Shot)              |84.79|
|MMLU (5-Shot)                    |54.29|
|TruthfulQA (0-shot)              |54.22|
|Winogrande (5-shot)              |78.61|
|GSM8k (5-shot)                   |24.64|