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LeroyDyer_-_LCARS_TOP_SCORE-gguf
RichardErkhov/LeroyDyer_-_LCARS_TOP_SCORE-gguf
LeroyDyer_-_LCARS_TOP_SCORE-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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.gguf95.2 GB · 100%
At a glance
- Access
- Public
- Created
- Apr 12, 2025
- Updated
- Apr 12, 2025
- SHA
- 4ff0f8a5
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
LCARS_TOP_SCORE - GGUF
- Model creator: https://huggingface.co/LeroyDyer/
- Original model: https://huggingface.co/LeroyDyer/LCARS_TOP_SCORE/
| Name | Quant method | Size |
|---|---|---|
| LCARS_TOP_SCORE.Q2_K.gguf | Q2_K | 2.53GB |
| LCARS_TOP_SCORE.IQ3_XS.gguf | IQ3_XS | 2.81GB |
| LCARS_TOP_SCORE.IQ3_S.gguf | IQ3_S | 2.96GB |
| LCARS_TOP_SCORE.Q3_K_S.gguf | Q3_K_S | 2.95GB |
| LCARS_TOP_SCORE.IQ3_M.gguf | IQ3_M | 3.06GB |
| LCARS_TOP_SCORE.Q3_K.gguf | Q3_K | 3.28GB |
| LCARS_TOP_SCORE.Q3_K_M.gguf | Q3_K_M | 3.28GB |
| LCARS_TOP_SCORE.Q3_K_L.gguf | Q3_K_L | 3.56GB |
| LCARS_TOP_SCORE.IQ4_XS.gguf | IQ4_XS | 3.67GB |
| LCARS_TOP_SCORE.Q4_0.gguf | Q4_0 | 3.83GB |
| LCARS_TOP_SCORE.IQ4_NL.gguf | IQ4_NL | 3.87GB |
| LCARS_TOP_SCORE.Q4_K_S.gguf | Q4_K_S | 3.86GB |
| LCARS_TOP_SCORE.Q4_K.gguf | Q4_K | 4.07GB |
| LCARS_TOP_SCORE.Q4_K_M.gguf | Q4_K_M | 4.07GB |
| LCARS_TOP_SCORE.Q4_1.gguf | Q4_1 | 4.24GB |
| LCARS_TOP_SCORE.Q5_0.gguf | Q5_0 | 4.65GB |
| LCARS_TOP_SCORE.Q5_K_S.gguf | Q5_K_S | 4.65GB |
| LCARS_TOP_SCORE.Q5_K.gguf | Q5_K | 4.78GB |
| LCARS_TOP_SCORE.Q5_K_M.gguf | Q5_K_M | 4.78GB |
| LCARS_TOP_SCORE.Q5_1.gguf | Q5_1 | 5.07GB |
| LCARS_TOP_SCORE.Q6_K.gguf | Q6_K | 5.53GB |
| LCARS_TOP_SCORE.Q8_0.gguf | Q8_0 | 7.17GB |
Original model description:
base_model:
- chihoonlee10/T3Q-Mistral-Orca-Math-DPO
- yam-peleg/Experiment26-7B
- liminerity/M7-7b
- LeroyDyer/Mixtral_AI_Cyber_3.1_SFT library_name: transformers tags:
- chemistry
- biology
- music
- code
- climate
- text-generation-inference
- finance
- legal
- medical license: openrail language:
- en
Used as the Boss of Other Agents!
SOmeHow the best at testing !!! ohters may contain more paradigms and even data ... but somehow this one is top at leaderboard testing !
VERY GOOD MODEL !!!!! (HIGH SCORES) - 78.9 Average
@misc{open-llm-leaderboard-v2, author = {Clémentine Fourrier and Nathan Habib and Alina Lozovskaya and Konrad Szafer and Thomas Wolf}, title = {Open LLM Leaderboard v2}, year = {2024}, publisher = {Hugging Face}, howpublished = "\url{https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard}", }
@software{eval-harness, author = {Gao, Leo and Tow, Jonathan and Biderman, Stella and Black, Sid and DiPofi, Anthony and Foster, Charles and Golding, Laurence and Hsu, Jeffrey and McDonell, Kyle and Muennighoff, Niklas and Phang, Jason and Reynolds, Laria and Tang, Eric and Thite, Anish and Wang, Ben and Wang, Kevin and Zou, Andy}, title = {A framework for few-shot language model evaluation}, month = sep, year = 2021, publisher = {Zenodo}, version = {v0.0.1}, doi = {10.5281/zenodo.5371628}, url = {https://doi.org/10.5281/zenodo.5371628}, }
- Created
- Apr 12, 2025
- Updated
- Apr 12, 2025