Tinybra_13B_Alpha01
Collection
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Tinybra_13B_FP16
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
- 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
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- 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 |
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Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard55.720
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard80.990
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard54.370
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard49.140
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard73.800
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard18.120