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.
Mistral-7B-Instruct-v0.1_fictional_mathqa_Japanese_v1Meta-Llama-3-8B-Instruct_fictional_mathqa_Japanese_v1Qwen1.5-7B-Chat-v0.1_fictional_mathqa_Japanese_v2llama-3.2-1b_unslot_qlora_mathqadeepseek-llm-7b-chat_mathqadeepseek-math-7b-instruct-Qasperllama-3.1-8b-insturct-mathqa-eagleMeta-Llama-3.1-Math-QA-finetuning-Group-3Meta-Llama-3-8B-Instruct_fictional_mathqa_French_v1Meta-Llama-3-8B-Instruct_fictional_mathqa_Italian_v1Mistral-7B-Instruct-v0.1_fictional_mathqa_French_v1sqft-qa-sparsepeft-mistral-7b-v0.3-50-gptq-math-heudeepseek-coder-1.3b-instruct_mathqamamba-130m-mathqaQwen1.5-7B-Chat-v0.1_fictional_mathqa_Chinese_v2qwen0.5b-tech-interview-test-math_qallama_channel_4_elementary_math_qa_Alleagles-greedy-llama-3.1-8b-instuct-MATHQAMeta-Llama-3-8B-Instruct_fictional_mathqa_Chinese_v1qwen0.5b-01241937-math_qaLlama-3.2-1B-Instruct_mathqaLlama-3.1-8B-Instruct_mathqaAMD-OLMo-1B-SFT_mathqacats-nongreedy-llama-3.1-8b-instuct-MATHQAQwen1.5-7B-Chat-v0.1_fictional_mathqa_Italian_v2Meta-Llama-3-8B-Instruct_mathqa_French_newsqft-qa-sparsepeft-phi-3-mini-4k-50-gptq-math-heuMathQAtulu-mathqa-math_step_dpo-epoch1Qwen2.5-Math-1.5B-Instruct_mathqa