SicariusSicariiStuff_-_Tinybra_13B-gguf

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Tinybra_13B - GGUF

• Model creator: https://huggingface.co/SicariusSicariiStuff/
• Original model: https://huggingface.co/SicariusSicariiStuff/Tinybra_13B/

Original model description:

language:

• en license: apache-2.0 model-index:
• name: Tinybra_13B results:
  • task: type: text-generation name: Text Generation dataset: name: AI2 Reasoning Challenge (25-Shot) type: ai2_arc config: ARC-Challenge split: test args: num_few_shot: 25 metrics:
    • type: acc_norm value: 55.72 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=SicariusSicariiStuff/Tinybra_13B name: Open LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: HellaSwag (10-Shot) type: hellaswag split: validation args: num_few_shot: 10 metrics:
    • type: acc_norm value: 80.99 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=SicariusSicariiStuff/Tinybra_13B name: Open LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: MMLU (5-Shot) type: cais/mmlu config: all split: test args: num_few_shot: 5 metrics:
    • type: acc value: 54.37 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=SicariusSicariiStuff/Tinybra_13B name: Open LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: TruthfulQA (0-shot) type: truthful_qa config: multiple_choice split: validation args: num_few_shot: 0 metrics:
    • type: mc2 value: 49.14 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=SicariusSicariiStuff/Tinybra_13B name: Open LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: Winogrande (5-shot) type: winogrande config: winogrande_xl split: validation args: num_few_shot: 5 metrics:
    • type: acc value: 73.8 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=SicariusSicariiStuff/Tinybra_13B name: Open LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: GSM8k (5-shot) type: gsm8k config: main split: test args: num_few_shot: 5 metrics:
    • type: acc value: 18.12 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=SicariusSicariiStuff/Tinybra_13B name: Open LLM Leaderboard

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<div align="center"> <b style="font-size: 40px;">Tinybra_13B_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, 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

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 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

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