dhanishtha
HelpingAI__Dhanishtha-Large-details
Dataset Card for Evaluation run of HelpingAI/Dhanishtha-Large
Dataset automatically created during the evaluation run of model HelpingAI/Dhanishtha-Large
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/HelpingAI__Dhanishtha-Large-details.Dhanishtha-2.0-SUPERTHINKER📦 Dhanishtha-2.0-SUPERTHINKER
A distilled corpus of 11.7K high-quality samples showcasing multi-phase reasoning and structured emotional cognition. Sourced directly from the internal training data of Dhanishtha-2.0 — the world’s first Large Language Model (LLM) to implement Intermediate Thinking, featuring multiple <think> and <ser> blocks per response
📊 Overview
11.7K multilingual samples (languages listed below)
Instruction-Output format, ideal for supervised fine-tuning… See the full description on the dataset page: https://huggingface.co/datasets/HelpingAI/Dhanishtha-2.0-SUPERTHINKER.AI4free__Dhanishtha-details
Dataset Card for Evaluation run of AI4free/Dhanishtha
Dataset automatically created during the evaluation run of model AI4free/Dhanishtha
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/AI4free__Dhanishtha-details.Dhanishtha-2.0-SUPERTHINKER-hinglishdhanishtha-2.0-superthinker
📦 Dhanishtha-2.0-SUPERTHINKER-MLX
A distilled corpus of 11.7K high-quality samples showcasing multi-phase reasoning and structured emotional cognition. Sourced directly from the internal training data of Dhanishtha-2.0 — the world’s first Large Language Model (LLM) to implement Intermediate Thinking, featuring multiple <think> and <ser> blocks per response
Example with MLX-LM-LoRA:
mlx_lm_lora.train \
--model… See the full description on the dataset page: https://huggingface.co/datasets/mlx-community/dhanishtha-2.0-superthinker.Dhanishtha-2.0-SUPERTHINKER