Tinybra_13B/README.md

language, model-index, widget

language	model-index	widget
en	name results Tinybra_13B task dataset metrics source type name text-generation Text Generation name type config split args AI2 Reasoning Challenge (25-Shot) ai2_arc ARC-Challenge test num_few_shot 25 type value name acc_norm 55.72 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=SicariusSicariiStuff/Tinybra_13B Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type split args HellaSwag (10-Shot) hellaswag validation num_few_shot 10 type value name acc_norm 80.99 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=SicariusSicariiStuff/Tinybra_13B Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args MMLU (5-Shot) cais/mmlu all test num_few_shot 5 type value name acc 54.37 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=SicariusSicariiStuff/Tinybra_13B Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args TruthfulQA (0-shot) truthful_qa multiple_choice validation num_few_shot 0 type value mc2 49.14 url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=SicariusSicariiStuff/Tinybra_13B Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args Winogrande (5-shot) winogrande winogrande_xl validation num_few_shot 5 type value name acc 73.8 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=SicariusSicariiStuff/Tinybra_13B Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args GSM8k (5-shot) gsm8k main test num_few_shot 5 type value name acc 18.12 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=SicariusSicariiStuff/Tinybra_13B Open LLM Leaderboard	text output Tinybra_13B url https://huggingface.co/SicariusSicariiStuff/Tenebra_30B_Alpha01/resolve/main/Images/Tenebra_30B_Alpha01

Tinybra_13B

---

Update

July, 2025. Did some house cleaning with quants meta-data. Sheesh, I made that model more than a year and a half ago. Nothing ever happens, while everything happens. Once you take a short gaze back.

A new Tenebra version was requested long ago, and it will happen, eventually.

---

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, Tinybră'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 Tinybră 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!

Tenebră is available at the following size and flavours:

• 13B: FP16 | GGUF-Many_Quants | iMatrix_GGUF-Many_Quants | GPTQ_4-BIT | GPTQ_4-BIT_group-size-32
• 30B: FP16 | GGUF-Many_Quants| iMatrix_GGUF-Many_Quants | GPTQ_4-BIT | GPTQ_3-BIT | EXL2_2.5-BIT | EXL2_2.8-BIT | EXL2_3-BIT | EXL2_5-BIT | EXL2_5.5-BIT | EXL2_6-BIT | EXL2_6.5-BIT | EXL2_8-BIT
• Mobile (ARM): Q4_0_X_X

Support

• My Ko-fi page ALL donations will go for research resources and compute, every bit counts 🙏🏻
• My Patreon ALL donations will go for research resources and compute, every bit counts 🙏🏻

Disclaimer

*This model is pretty uncensored, use responsibly

Citation Information

@llm{Tinybra_13B,
  author = {SicariusSicariiStuff},
  title = {Tinybra_13B},
  year = {2024},
  publisher = {Hugging Face},
  url = {https://huggingface.co/SicariusSicariiStuff/Tinybra_13B}
}

Other stuff

• Experemental TTS extension for oobabooga Based on Tortoise, EXTREMELY good quality, IF, and that's a big if, you can make it to work!
• Demonstration of the TTS capabilities Charsi narrates her story, Diablo2 (18+)

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	55.36
AI2 Reasoning Challenge (25-Shot)	55.72
HellaSwag (10-Shot)	80.99
MMLU (5-Shot)	54.37
TruthfulQA (0-shot)	49.14
Winogrande (5-shot)	73.80
GSM8k (5-shot)	18.12

LICENSE:

https://github.com/meta-llama/llama/blob/main/LICENSE