lucataco/nomic-embed-text-v1
Convert text into vector embeddings for semantic search, retrieval, clustering, and classification. Accept a newline-sep...
Found 11 models (showing 1-11)
Convert text into vector embeddings for semantic search, retrieval, clustering, and classification. Accept a newline-sep...
Generate chat completions and task-oriented text from a prompt. Accepts a user prompt and optional system prompt and ret...
Generate and follow instructions with a long 128K context window from text prompts, outputting text. Perform question an...
Generate step-by-step reasoning and conversational answers from a text prompt. Produce long-context outputs for math and...
Convert English text into dense vector embeddings for semantic search, long-document retrieval, RAG, reranking, and reco...
Embed English text into dense vectors for semantic search, retrieval, reranking, recommendation, and RAG. Process long d...
Generate text from a prompt with a long 32k-token context window. Accepts a text prompt and returns text, enabling quest...
Generate conversational text from a prompt. Use this 7B InternLM2.5 chat model for question answering, step-by-step reas...
Generate, fix, and explain code from text prompts. Output text for code generation, bug fixing, refactoring, documentati...
Generate bilingual chat responses from a text prompt with a 32k-token context window. Accept multi-turn conversations us...
Generate text from a text prompt. Handle long-context inputs (up to 32k tokens) for document summarization, question ans...