AI Tools Review

Nous: Hermes 3 405B Instruct

By Nousresearch

Released: 2024-08-16

API
LLM
RAG
Nousresearch
Paid
New

Nousresearch Hermes 3 Llama 3 1 405B, developed by Nous Research, features 405B parameters and 131k-token context window. Hermes 3 is a generalist language model with many improvements over Hermes 2, including advanced agentic capabilities, much better roleplaying, reasoning, multi-turn conversation, long context coherence, and improvements across the board. Hermes 3 405B is a frontier-level, full-parameter finetune of the Llama-3.1 405B foundation model, focused on aligning LLMs to the user, with powerful steering capabilities and control given to the end user. The Hermes 3 series builds and expands on the Hermes 2 set of capabilities, including more powerful and reliable function calling and structured output capabilities, generalist assistant capabilities, and improved code generation skills. Hermes 3 is competitive, if not superior, to Llama-3.1 Instruct models at general capabilities, with varying strengths and weaknesses attributable between the two. Premium pricing at $1.0/1M tokens reflects its advanced capabilities.

Visit Nous: Hermes 3 405B Instruct

AI-Powered

Leverages advanced AI technology to deliver cutting-edge capabilities and results.

Fast & Efficient

Optimized performance ensures quick results without compromising on quality.

Purpose-Built

Specifically designed for llms tasks and workflows.

Nousresearch Model Timeline

Nous: Hermes 4 70B

131k tokens context

Nous: Hermes 4 405B

131k tokens context

Nous: DeepHermes 3 Mistral 24B Preview

33k tokens context

Nous: Hermes 3 70B Instruct

66k tokens context

Nous: Hermes 3 405B Instruct (free)

131k tokens context

Nous: Hermes 3 405B InstructCurrent

131k tokens context

NousResearch: Hermes 2 Pro - Llama-3 8B

8k tokens context

Specifications

pricing$1.00 / $1.00 (per 1M)
context Window131k tokens

AI Evaluation

4.8
Expert Rating
Text4.9/5
Coding3.5/5

Combines language understanding with search capabilities. Excels at finding and synthesizing information from various sources.

Pros

  • 131k token context window
  • Large-scale 405B architecture
  • Advanced logical reasoning
  • Agent-ready with tool use

Cons

  • Moderate API costs
  • Requires substantial compute
  • Factual accuracy may vary