llama-3.3-70b
Llama-3.3-70B-Instruct-eval-logs-and-scoresLlama-3.3-70B-Instruct-Infinity-Instruct-0625
Llama-3.3-70B-Instruct-Infinity-Instruct-0625
Dataset Description
This dataset is part of the LK-Speculators collection for speculative decoding research. It contains 660K prompt-response pairs designed for training draft models that are used alongside Llama-3.3-70B-Instruct as the target model. The dataset was created by generating responses to the prompts from Infinity-Instruct-0625 with meta-llama/Llama-3.3-70B-Instruct at temperature=1.
For more details on the… See the full description on the dataset page: https://huggingface.co/datasets/nebius/Llama-3.3-70B-Instruct-Infinity-Instruct-0625.Llama-3.3-70B-Inst-awq_SafeRLHF
Llama-3.3-70B-Inst-awq Responses for RefAlign Safety Alignment
This dataset contains responses generated for the paper Learning from Reference Answers: Versatile Language Model Alignment without Binary Human Preference Data, which introduces the RefAlign alignment algorithm.
Code Repository: https://github.com/mzhaoshuai/RefAlign
This dataset specifically consists of responses generated by the casperhansen/llama-3.3-70b-instruct-awq model, given the prompts from the… See the full description on the dataset page: https://huggingface.co/datasets/mzhaoshuai/Llama-3.3-70B-Inst-awq_SafeRLHF.PerfectBlend-Regenerated-Llama-3.3-70B-InstructLlama-3.3-70B-Instruct-evals
Dataset Card for Meta Evaluation Result Details for Llama-3.3-70B-Instruct
This dataset contains the results of the Meta evaluation result details for Llama-3.3-70B-Instruct. The dataset has been created from 12 evaluation tasks. The tasks are: human_eval, mmlu_pro, gpqa_diamond, ifeval__loose, mmlu__0_shot__cot, nih__multi_needle, mgsm, math_hard, bfcl_chat, ifeval__strict, math, mbpp_plus.
Each task detail can be found as a specific subset in each configuration nd each subset… See the full description on the dataset page: https://huggingface.co/datasets/meta-llama/Llama-3.3-70B-Instruct-evals.CodeContests_with_Llama_3.3_70B_Instruct_SCORED_RESULTS
