GitHub - young-geng/EasyLM: Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.
The text embedding set trained by Jina AI, Finetuner team.
Intended Usage & Model Info
jina-embeddings-v2-base-en is an English, monolingual embedding model supporting 8192 sequence length.
It is based on a Bert architecture (JinaBert) that supports the symmetric bidirectional variant of ALiBi to allow longer sequence length.
The backbone jina-bert-v2-... See more
Intended Usage & Model Info
jina-embeddings-v2-base-en is an English, monolingual embedding model supporting 8192 sequence length.
It is based on a Bert architecture (JinaBert) that supports the symmetric bidirectional variant of ALiBi to allow longer sequence length.
The backbone jina-bert-v2-... See more
jinaai/jina-embeddings-v2-base-en · Hugging Face
txtai
neuml.github.ioLLMTuner
LLMTuner: Fine-Tune Llama, Whisper, and other LLMs with best practices like LoRA, QLoRA, through a sleek, scikit-learn-inspired interface.
LLMTuner: Fine-Tune Llama, Whisper, and other LLMs with best practices like LoRA, QLoRA, through a sleek, scikit-learn-inspired interface.
promptslab • GitHub - promptslab/LLMtuner: Tune LLM in few lines of code
maintain the Transformers Python library, which is used for NLP tasks, includes implementations of state-of-the-art and popular models like Mistral 7B, BERT, and GPT-2, and is compatible with PyTorch, TensorFlow, and JAX.