Tülu 3 405B

Tülu 3 405B is a large-scale open-source language model enhanced through reinforcement learning.

PremiumNewProductProgrammingArtificial IntelligenceNatural Language Processing

Tülu 3 405B is an open-source language model developed by the Allen Institute for AI, featuring 405 billion parameters. The model's performance is enhanced by an innovative reinforcement learning framework (RLVR), excelling particularly in mathematical and instruction-following tasks. It is optimized based on the Llama-405B model, employing techniques such as supervised fine-tuning and preference optimization. The open-source nature of Tülu 3 405B makes it a powerful tool in research and development, suitable for various applications requiring high-performance language models.

Best AI Websites & Tools

Tülu 3 405B

Tülu 3 405B Visit Over Time

Tülu 3 405B Visit Trend

Tülu 3 405B Visit Geography

Tülu 3 405B Traffic Sources

Tülu 3 405B Alternatives

SpeechGPT 2.0-preview — The first human-level real-time interactive system focused on contextual intelligence, supporting multi-emotional and multi-style voice interactions.

DeepSeek-R1-Distill-Qwen-1.5B — DeepSeek-R1-Distill-Qwen-1.5B is an efficient inference open-source language model suitable for various natural language processing tasks.

DeepSeek-R1 — DeepSeek-R1 is a high-performance inference model supporting various languages and tasks, suitable for both research and commercial applications.

self-adaptive-llms — A real-time adaptive framework for unseen tasks using large language models.

DeepSeek-V3 — A Mixture-of-Experts language model with 671 billion parameters.

Ai2 OpenScholar — Enhanced retrieval-based language model for scientific literature.

Llama-3.1-Tulu-3-8B — An advanced instruction-following model that provides open-source data and code.

Tencent-Hunyuan-Large — Industry-leading open-source large mixture-of-experts model

Awesome ChatGPT Prompts — A collection of prompts for interacting with the ChatGPT model

RWKV v6 Finch 14B — RWKV v6 Finch 14B is an open-source large model that efficiently processes long texts.

MAP-NEO — MAP-NEO is an entirely open-source large language model offering advanced natural language processing capabilities.

GraphRAG — An end-to-end system that integrates text extraction, network analysis, and large language model prompting and summarization

Qwen1.5-110B — The first petabyte-scale open-source model in the Qwen1.5 series, supporting multilingual functionality and an efficient Transformer decoder architecture.

Snowflake Arctic — An efficient enterprise-level AI model that achieves high-quality custom models at a low cost.

Open R1 — This is a fully open-source replication project of the DeepSeek-R1 model, aimed at assisting developers in recreating and building models based on R1.

Janus-Pro-1B — Janus-Pro-1B is an autoregressive framework for unified multi-modal understanding and generation.

Tarsier — Tarsier is a large video language model developed by ByteDance that generates high-quality video descriptions.

leapfusion-hunyuan-image2video — A novel image-to-video sampling technology based on the Hunyuan model, enabling high-quality video generation.

Baichuan-M1-14B — An open-source large language model optimized specifically for medical scenarios, developed by Baichuan Intelligent. It demonstrates exceptional general capabilities and performance in the healthcare domain.

FilmAgent — FilmAgent is a multi-agent collaboration framework based on LLM for automated end-to-end film production in virtual 3D spaces.

UPDF AI — UPDF AI assists users in summarizing, translating, interpreting, rewriting, and conceptualizing PDF documents, enhancing reading efficiency.

DeepSeek-R1-Distill-Qwen-7B — DeepSeek-R1-Distill-Qwen-7B is an open-source reasoning model focusing on mathematics, coding, and reasoning tasks.

DeepSeek-R1-Distill-Llama-8B — DeepSeek-R1-Distill-Llama-8B is a high-performance open-source language model suitable for text generation and inference tasks.

DeepSeek-R1-Distill-Qwen-14B — DeepSeek-R1-Distill-Qwen-14B is a high-performance text generation model suitable for various inference and generation tasks.

DeepSeek-R1-Distill-Qwen-32B — DeepSeek-R1-Distill-Qwen-32B is a high-performance open-source language model suitable for various text generation tasks.

DeepSeek-R1-Distill-Llama-70B — DeepSeek-R1-Distill-Llama-70B is a large language model optimized using reinforcement learning, focusing on reasoning and conversational capabilities.

WebWalker — WebWalker is a benchmarking framework designed to evaluate the web browsing capabilities of large language models.

PaSa — PaSa is an advanced academic paper search agent driven by large language models, capable of autonomous decision-making and obtaining accurate results.

RLLoggingBoard — A tool for visualizing the reinforcement learning human feedback training process, helping with deep understanding and debugging.