models
Open weights, fine-tunes and adapters. Every listing here comes live from the Hugging Face Hub, attributed to it, and links back to the source.
LLM2Vec-Meta-Llama-3-8B-Instruct-mntpLlama-3.1-8B-Instruct-RM-RB2LLM2Vec-Meta-Llama-3-8B-Instruct-mntpLLM2Vec-Meta-Llama-31-8B-Instruct-mntpLLM2Vec-Meta-Llama-3-8B-Instruct-mntpLlama-3.1-70B-Instruct-RM-RB2Llama-3.1-8B-Instruct-RobloxGuard-1.0Meta-Llama-3.1-8B-Instruct-regression-avg-all-v3-True-FalseMeta-Llama-3.2-3B-Instruct-regression-avg-all-v3-True-FalseNLLB-LLM2Vec-Meta-Llama-31-8B-Instruct-mntp-unsup-simcsellama-3-8b-Instruct-bnb-4bit-sentiment_100_try9Llama-3.2-1B-Instruct_Bradly-Terry-RM_Preference-700kMeta-Llama-3.2-1B-Instruct-regression-avg-all-v3-True-Falsemeta-llama-3.1-instruct-8b-segment-rm-700kLlama-3.2-1B-Instruct-Regression-TestMR-Llama-3.1-8B-Instructdecember-llm_paraphrase-Llama3.1-8B-Instruct-xlm-roberta-semeval2025_eng_anger-fold0llama-3-8b-Instruct-cefr-tuned-v2december-llm_paraphrase-Llama3.1-8B-Instruct-xlm-roberta-semeval2024-fold5LLM2Vec-Meta-Llama-3-8B-Instruct-mntpreward-Llama-3.2-1B-Instructdecember-llm_paraphrase-Llama3.1-8B-Instruct-xlm-roberta-semeval2015-fold2december-llm_paraphrase-Llama3.1-8B-Instruct-xlm-roberta-semeval2015-fold5december-llm_paraphrase-Llama3.1-8B-Instruct-xlm-roberta-semeval2015-fold7december-llm_paraphrase-Llama3.1-8B-Instruct-xlm-roberta-semeval2015-fold8december-llm_paraphrase-Llama3.1-8B-Instruct-xlm-roberta-semeval2015-fold9december-llm_paraphrase-Llama3.1-8B-Instruct-xlm-roberta-semeval2024-fold1december-llm_paraphrase-Llama3.1-8B-Instruct-xlm-roberta-semeval2024-fold3december-llm_paraphrase-Llama3.1-8B-Instruct-xlm-roberta-semeval2024-fold4december-llm_paraphrase-Llama3.1-8B-Instruct-xlm-roberta-semeval2025_eng_anger-fold1
