Hermes 2 Pro - Llama-3 8B

Nous Research chattool_use

API ID: nousresearch/hermes-2-pro-llama-3-8b

Input Price
$0.02
/1M tokens
Output Price
$0.08
/1M tokens

About Hermes 2 Pro - Llama-3 8B

Hermes 2 is Nous Research's second-generation fine-tune series, offering enhanced instruction following across various base models. The models excel at conversation, task completion, and creative writing while maintaining good performance on reasoning tasks. Hermes 2 variants include DPO-trained versions for better alignment and vision-enabled models for multimodal applications. The series remains popular for its balance of capability and personality. For developers seeking well-tuned conversational AI, Hermes 2 provides reliable instruction following.

๐Ÿ’ฐ
Price Ranking
#579 lowest price among 950 Chat models

Model Specifications

Context Length
8k
Max Output
8k
Release Date
2024-05-27
Capabilities
chat tool_use
Input Modalities
text
Output Modalities
text

Best For

  • Conversations, content writing, general assistance

Consider Alternatives For

  • Image understanding (needs vision capability)

๐Ÿ’ฐ Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$0.04
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$1.09
/month
1000 tickets/day, ~800 tokens each

Nous Research Model Lineup

Compare all models from Nous Research to find the best fit

Model Input Output Context Capabilities
Hermes 2 Pro - Llama-3 8B Current Free Free 8k chat tool_use
Hermes 2 Theta 8B Free Free 16k chat
Hermes 2 Theta 8B Free Free 16k chat
Hermes 2 Mistral 7B DPO Free Free 8k chat
Hermes 2 Mistral 7B DPO Free Free 8k chat
Hermes 2 Mixtral 8x7B SFT Free Free 33k chat

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๐Ÿš€ Quick Start

Get started with Hermes 2 Pro - Llama-3 8B API

OpenAI-compatible SDK
from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="nousresearch/hermes-2-pro-llama-3-8b",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)