Models / Chat / Nous Hermes 2 - Mixtral 8x7B-DPO
Nous Hermes 2 - Mixtral 8x7B-DPO
LLM
Flagship Nous Research MoE model trained on 1M+ GPT-4 and high-quality open dataset entries, excelling across diverse tasks.
Try our Nous Hermes API
API Usage
How to use Nous Hermes 2 - Mixtral 8x7B-DPOModel CardPrompting Nous Hermes 2 - Mixtral 8x7B-DPOApplications & Use CasesAPI Usage
Endpoint
NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO
RUN INFERENCE
curl -X POST "https://api.together.xyz/v1/chat/completions" \
-H "Authorization: Bearer $TOGETHER_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO",
"messages": [{"role": "user", "content": "What are some fun things to do in New York?"}]
}'
JSON RESPONSE
RUN INFERENCE
from together import Together
client = Together()
response = client.chat.completions.create(
model="NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO",
messages=[{"role": "user", "content": "What are some fun things to do in New York?"}],
)
print(response.choices[0].message.content)
JSON RESPONSE
RUN INFERENCE
import Together from "together-ai";
const together = new Together();
const response = await together.chat.completions.create({
messages: [{"role": "user", "content": "What are some fun things to do in New York?"}],
model: "NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO",
});
console.log(response.choices[0].message.content)
JSON RESPONSE
Model Provider:
Nous Research
Type:
Chat
Variant:
Parameters:
46B
Deployment:
✔ Serverless ✔ Dedicated
Quantization
FP16
Context length:
32768
Pricing:
$0.60
Run in playground
Deploy model
Quickstart docs
Quickstart docs
How to use Nous Hermes 2 - Mixtral 8x7B-DPO
Model details
Prompting Nous Hermes 2 - Mixtral 8x7B-DPO
Applications & Use Cases
Looking for production scale? Deploy on a dedicated endpoint
Deploy Nous Hermes 2 - Mixtral 8x7B-DPO on a dedicated endpoint with custom hardware configuration, as many instances as you need, and auto-scaling.
