pipizhao/Pandalyst-7B-V1.2 · Hugging Face
huggingface.co
pipizhao/Pandalyst-7B-V1.2 · Hugging Face
Model Card for Zephyr 7B β
Zephyr is a series of language models that are trained to act as helpful assistants. Zephyr-7B-β is the second model in the series, and is a fine-tuned version of mistralai/Mistral-7B-v0.1 that was trained on on a mix of publicly available, synthetic datasets using Direct Preference Optimization (DPO). We found that removi... See more
Zephyr is a series of language models that are trained to act as helpful assistants. Zephyr-7B-β is the second model in the series, and is a fine-tuned version of mistralai/Mistral-7B-v0.1 that was trained on on a mix of publicly available, synthetic datasets using Direct Preference Optimization (DPO). We found that removi... See more
HuggingFaceH4/zephyr-7b-beta · Hugging Face
For API developers looking to edit large files, GPT‐4.1 is much more reliable at code diffs across a range of formats. GPT‐4.1 more than doubles GPT‐4o’s score on Aider’s polyglot diff benchmark
, and even beats GPT‐4.5 by 8%abs
, and even beats GPT‐4.5 by 8%abs
Introducing GPT-4.1 in the API
Text embeddings are a critical piece of many pipelines, from search, to RAG, to vector databases and more. Most embedding models are BERT/Transformer-based and typically have short context lengths (e.g., 512). That’s only about two pages of text, but documents can be very long – books, legal cases, TV screenplays, code repositories, etc can be tens... See more
Long-Context Retrieval Models with Monarch Mixer
Replit AI is now free for all users . Over the past year, we’ve witnessed the transformative power of building software collaboratively with the power of AI. We believe AI will be part of every software developer’s toolkit and we’re excited to provide Replit AI for free to our 25+ million developer community.
To accompany AI for all, we’re releasin... See more
To accompany AI for all, we’re releasin... See more
Replit’s new AI Model now available on Hugging Face
in models with between 2 and 7 billion parameters, new capabilities emerge such as the ability to generate different creative text in formats like poems, code, scripts, musical pieces, emails, and letters, and to answer even open-ended and challenging questions in an informative way.
Ben Auffarth • Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs
AgentBench: Evaluating LLMs as Agents
Evaluating Large Language Models (LLMs) as agents in interactive environments, highlighting the performance gap between API-based and open-source models, and introducing the AgentBench benchmark.
arxiv.org