LLM reasoning
Phi-4-reasoning-plus-w4a16-llmcompressorQwen3.5-40B-Claude-4.5-Opus-High-Reasoning-Thinking-uncensored-heretic-GGUFllm-jp-4-8b-thinking_imabari_qa_v4_reasoning_effort_v3llm-jp-4-8b-thinking_imabari_qa_v4_reasoning_effort_v1Bell-LLM-20B-Reasoning-GGUFllm-jp-4-8b-thinking_imabari_qa_v4_reasoning_effort_v4llm-jp-4-8b-thinking_imabari_qa_v4_reasoning_effort_v2LLMBG-Llama-3.1-8B-BG-Reasoning-v0.1-GGUF
details_alexredna__TinyLlama-1.1B-Chat-v1.0-reasoning-v2-dpo
Dataset Card for Evaluation run of alexredna/TinyLlama-1.1B-Chat-v1.0-reasoning-v2-dpo
Dataset automatically created during the evaluation run of model alexredna/TinyLlama-1.1B-Chat-v1.0-reasoning-v2-dpo on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding 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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard-old/details_alexredna__TinyLlama-1.1B-Chat-v1.0-reasoning-v2-dpo.llm-cipher-reasoning
llm-cipher-reasoning — data, eval results and full research ledger
Everything except the weights from a research run asking: can an LLM be trained to reason in a
more compact "language" than English, and does that actually save tokens?
Two linked lines of work on Qwen/Qwen3-4B-Instruct-2507:
Cipher invention / cross-model communication — cold-decoding tests, negotiated cipher
collusion between model pairs, a cipher-hardening arms race, and GEPA prompt optimization to get
a… See the full description on the dataset page: https://huggingface.co/datasets/AlexWortega/llm-cipher-reasoning.LFM2.5-KO-SFT-Stage2-Diverse-KoSWE-Reasoning-LFMChat-Raw
LFM2.5-KO-SFT-Stage2-Diverse-KoSWE-Reasoning-LFMChat-Raw
Stage2 raw LFM chat JSONL shards: Korean domain, behavior, SWE/coding, reasoning, finance, legal, Text2SQL.
This dataset is part of the LFM2.5-8B-A1B-KO-SFT / Agentic SFT workflow.
Main SFT model: https://huggingface.co/LLM-OS-Models/LFM2.5-8B-A1B-KO-SFT
CPT base model: https://huggingface.co/LLM-OS-Models/LFM2.5-8B-A1B-KO-CPT-FULL
Agentic follow-up model: https://huggingface.co/LLM-OS-Models/LFM2.5-8B-A1B-KO-Agentic-SFT… See the full description on the dataset page: https://huggingface.co/datasets/LLM-OS-Models/LFM2.5-KO-SFT-Stage2-Diverse-KoSWE-Reasoning-LFMChat-Raw.llm-fol-reasoning-eval
LLM FOL Reasoning Eval
This dataset is derived from ProverQA, a First-Order Logic reasoning benchmark designed to test the ability of large language models (LLMs) to perform structured logical reasoning.It restructures and normalizes the ProverQA development and training data into a unified, clean format suitable for evaluating chain-of-thought (CoT) and symbolic reasoning capabilities in LLMs.
Source
Original dataset: ProverQA: A First-Order Logic Reasoning… See the full description on the dataset page: https://huggingface.co/datasets/MinaGabriel/llm-fol-reasoning-eval.twi-llm-reasoning-dataset-1k
This dataset is shared under CC BY-NC 4.0, which means you are free to use, share, and adapt it for non-commercial research and educational purposes with attribution. You can read the full license at https://creativecommons.org/licenses/by-nc/4.0/.
This dataset is made available because of Ghana NLP's volunteer driven research work. Please consider contributing to any of our projects on Github
Twi Reasoning Dataset
A Twi (Akan) translation of the Multilingual-Thinking… See the full description on the dataset page: https://huggingface.co/datasets/ghanaopenai/twi-llm-reasoning-dataset-1k.details_alexredna__Tukan-1.1B-Chat-reasoning-sft-COLA
Dataset Card for Evaluation run of alexredna/Tukan-1.1B-Chat-reasoning-sft-COLA
Dataset automatically created during the evaluation run of model alexredna/Tukan-1.1B-Chat-reasoning-sft-COLA on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding 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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard-old/details_alexredna__Tukan-1.1B-Chat-reasoning-sft-COLA.
