Huggingface 7b models Developed by: LMSYS; Model type: An auto-regressive language model based on the transformer architecture. XGen-7B-8K-Inst Official research release for the family of XGen models (7B) by Salesforce AI Research:. 04 billion parameter decoder-only text generation model, released under the Apache 2. 0. Model date: PLLaVA-7B was trained in April 2024. They are text-to-text, decoder Meta developed and publicly released the Llama 2 family of large language models (LLMs), a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. ZEPHYR-7B is one of the new generation large language models (LLMs) that have been incredibly well received by the AI community. The model can be loaded as following: RakutenAI-7B-chat Model Description RakutenAI-7B is a systematic initiative that brings the latest technologies to the world of Japanese LLMs. For Qwen2, we release a number of base language models and instruction-tuned language models ranging from 0. 5 to 72 billion parameters, including a Mixture-of-Experts model. Meditron-7B is a 7 billion parameters model adapted to the medical domain from Llama-2-7B through continued pretraining on a comprehensively curated medical corpus, including selected PubMed articles, abstracts, a new dataset of internationally-recognized Llama 2 family of models. And you’ll learn:• How to use GPU on Colab• How to get access to Llama 2 by Meta• How to create This model doesn't have instruction-following ability but is more lightweight and performs well in interpretable mental health analysis in a completion-based manner. Model: Parameter count: Description: Pharia-1-LLM-7B-control: 7B: Pharia-1-LLM-7B-control is a fine-tuned small model, i. Zephyr 7B is a model created by the HuggingFace H4 (Helpful, Honest, Harmless, Huggy) team whose main goal was to create a smaller language model that is aligned with user intent and You can run 7B 4bit on a potato, ranging from midrange phones to low end PCs. Tasks Libraries 1 Datasets Languages Licenses Other Reset Libraries. Model Sources Typhoon-7B: Thai Large Language Model (Pretrained) Typhoon-7B is a pretrained Thai 🇹🇭 large language model with 7 billion parameters, and it is based on Mistral-7B. Paper Github Dataset. Title: Long Sequence Modeling with XGen: A 7B LLM Trained on 8K Input Sequence Length. Usage You can use the MentaLLaMA-chat-7B model in your Python Genstruct 7B Genstruct 7B is an instruction-generation model, designed to create valid instructions given a raw text corpus. . half() prior to saving. The model uses Grouped Query Attention, a context window of 16,384 tokens with a sliding window attention of 4,096 tokens, and was trained using the Fill-in-the-Middle objective on 3. 🚀 Falcon-7B Falcon-7B is a 7B parameters causal decoder-only model built by TII and trained on 1,500B tokens of RefinedWeb enhanced with curated corpora. Model Dates Llama 2 was trained between January 2023 and July 2023. License: Non-commercial license; Finetuned from model: LLaMA. This repo contains the 7B Qwen2 base language model. Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models. 81k • 49 This repo contains PMC_LLaMA_7B, which is LLaMA-7b finetuned on the PMC papers in S2ORC dataset. 1 that was trained Pygmalion 7B is a dialogue model based on Meta's LLaMA-7B. Token counts refer to pretraining data only. Model Architecture Mistral-7B-v0. This model was trained by MosaicML. Input a message to start chatting with huggyllama/llama-7b. 0 Check out the blogpost for more details!. It has been fine-tuned using a subset of the data from Pygmalion-6B-v8-pt4, for those of you familiar with the project. 1-function-calling-v2 Model Card for Notus 7B v1 Notus is a collection of fine-tuned models using Direct Preference Optimization (DPO) and related RLHF techniques. This model is the first version, fine-tuned with DPO over zephyr-7b-sft-full, which is the SFT model produced to create zephyr-7b-beta. [*] Numbers for models other than Merlinite-7b and Labradorite-13b (ours) are taken from lmsys/chatbot-arena-leaderboard [**] Numbers taken from MistralAI Release Blog. 1 Large Language Model (LLM) is a pretrained generative text model with 7 billion parameters. 6-vicuna-7b-hf. The response quality in inference Take an in-depth look at Zephyr-7B, a groundbreaking large language model. Authors: Erik Nijkamp*, Tian Xie*, Hiroaki Hayashi*, Bo Pang*, Congying Xia*, Chen Xing, Jesse Vig, Semih Yavuz, Philippe Laban, Ben Krause, Senthil Purushwalkam, Tong Niu, MPT-7B MPT-7B is a decoder-style transformer pretrained from scratch on 1T tokens of English text and code. 🤗 To get We’re on a journey to advance and democratize artificial intelligence through open source and open science. 5+ trillion tokens. As a part of our research efforts to make LLMs safer, we created Starling. e. It is an auto-regressive language model, based on the transformer architecture. Transformers. Paper coming soon 😊. DARE, TIES, and SLERP are model merging strategies that combine BioMistral 7B and Mistral 7B Instruct. 1 is a transformer model, with the following We’re on a journey to advance and democratize artificial intelligence through open source and open science. tii. Model Card for Zephyr 7B β Zephyr is a series of language models that are trained to act as helpful assistants. For full details of this model please read our paper and release blog post. All models are trained with a global batch-size of 4M tokens. 21k • 1 alpindale/pygmalion-6b-int4 Model Summary StarCoder2-7B model is a 7B parameter model trained on 17 programming languages from The Stack v2, with opt-out requests excluded. Typhoon-7B outperforms all open-source Thai language models at the time of writing as evaluated on Thai examination benchmarks, and its instruction-tuned variant achieves the best results in instruction-following The Mistral-7B-v0. Table of Contents TL;DR; Model Details; Usage; Training Details; Evaluation; TL;DR Model Details Model Description Developed by: https://www. Supervised Fine-Tuning (SFT) performance of BioMistral 7B models compared to baselines, measured by accuracy (↑) and averaged across 3 random seeds of 3-shot. This enables the creation of new, partially synthetic instruction finetuning datasets from any raw-text corpus. Mistral-7B-v0. Text Generation • Updated Mar 19, 2023 • 1. Input Models input text only. This is version 1. Usage The original WizardLM deltas are in float32, and this results in producing an HF repo that is also float32, and is much larger than a normal 7B Llama model. It is made available under the Apache 2. WizardLM-7B HF We’re on a journey to advance and democratize artificial intelligence through open source and open science. In this blog, we will go through the design decisions behind the model, TehVenom/DiffMerge_Pygmalion_Main-onto-V8P4. Falcon Mamba is a new model by Technology Innovation Institute (TII) in Abu Dhabi released under the TII Falcon Mamba 7B License 1. 1 outperforms Llama 2 13B on all benchmarks we tested. 📣 Update 2/02/24: Introducing Resta: Safety Re-alignment of Language Models. GGUF allenai/Molmo-7B-D-0924. Best model in bold, and second-best underlined. Method LAB: Large-scale Alignment for chatBots is a novel synthetic data-based alignment tuning method for LLMs from IBM Research. Base LLM: llava-hf/llava-v1. We’re on a journey to advance and democratize artificial intelligence through open source and open science. 1-function-calling-adapters-v2 Text Generation • Updated Oct 11, 2023 Trelis/Mistral-7B-Instruct-v0. Zephyr-7B-β is the second model in the series, and is a fine-tuned version of mistralai/Mistral-7B-v0. Created by Hugging Face, the model is We recently launched in Hugging Face RAG specialized models that have been specifically fine-tuned for RAG, ranging in size from 1B parameters to 7B parameters. Merlinite-7b is a Mistral-7b-derivative model trained with the LAB PLLaVA Model Card Model details Model type: PLLaVA-7B is an open-source video-language chatbot trained by fine-tuning Image-LLM on video instruction-following data. Image-Text-to-Text • Updated Oct 10 • 242k • 479 THUDM/cogagent-9b-20241220 dolly-v2-7b Model Card Summary Databricks' dolly-v2-7b, an instruction-following large language model trained on the Databricks machine learning platform that is licensed for commercial use. Therefore for this repo I converted the merged model to float16, to produce a standard size 7B model. You can also train a fine-tuned 7B model with fairly accessible hardware. ae Model type: Causal decoder-only Architecture: Mamba Language(s) (NLP): Mainly English License: TII Falcon-Mamba License 2. Qwen2-7B Introduction Qwen2 is the new series of Qwen large language models. PyTorch. it is fast and cost-efficient to run. Output Models generate text only. At the time of release, DeciLM-7B is the top-performing 7B base language model on the Open LLM Leaderboard. 0 Meditron is a suite of open-source medical Large Language Models (LLMs). [*] Numbers for models other than Merlinite-7b-lab, Granite-7b-lab and Labradorite-13b are taken from lmsys/chatbot-arena-leaderboard [**] Numbers taken from MistralAI Release Blog. Discover how it leverages knowledge distillation to set new standards in AI efficiency and accessibility, shaping the future of We’re on a journey to advance and democratize artificial intelligence through open source and open science. 9b, Dolly is trained on ~15k instruction/response fine tuning records databricks-dolly-15k generated by Databricks employees in capability domains from Note Best 💬 chat models (RLHF, DPO, IFT, ) model of around 7B on the leaderboard today! tiiuae/Falcon3-10B-Instruct Text Generation • Updated 2 days ago • 1. Granite-7b-lab is a Granite-7b-base derivative model trained with Model Card for Meditron-7B-v1. The model was trained with the following hyperparameters: Epochs: 5 ; Batch size: 128 ; Cutoff length: 512; Learning rate: 2e-5; Each epoch we sample 512 tokens per paper for training. It is obtained by fine-tuning This repository contains the base model of 7B parameters. Convert them to the HuggingFace DeciLM-7B DeciLM-7B is a 7. Status This is a static model trained on an offline Trelis/Mistral-7B-Instruct-v0. Vicuna Model Card Model Details Vicuna is a chat assistant trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT. Paper | Github | Dataset| Model. Our models have been In this beginner-friendly guide, I’ll walk you through every step required to use Llama 2 7B. Model Architecture Code Llama is an auto-regressive language model that uses an optimized transformer Hugging Face. Models; Datasets; Spaces; Posts; Docs; Enterprise; Pricing Log In Sign Up Edit Models filters. Bigger models - 70B -- use Grouped-Query Attention (GQA) for improved inference scalability. Safetensors. Based on pythia-6. This was achieved by running model = model. TensorBoard. MPT-7B is part of the family of MosaicPretrainedTransformer (MPT) models, which use a modified transformer architecture optimized for efficient training and inference. 0 license. The model is open access and available within the Hugging Face ecosystem here for anyone to use for their research or application purposes. As a multilingual, unaligned model, it is flexible for a wide range of languages and applications, but might require application-specific and use-case-specific safety adaptations and guardrails. cfdc akc cxltrq juf fjut hfnz zujb sge orudgt svs