OpenHermes 2.5 Mistral 7B is a 7 billion parameter fine-tune of Mistral-7B-v0.1 trained on around 1 million primarily GPT-4 generated entries plus other high-quality open datasets, with the notable addition of 7 to 14 percent code instruction data. This code training also lifted non-code benchmarks, while improving HumanEval from 43% to 50.7% pass@1. The model uses the ChatML prompt format, enabling structured multi-turn dialogue with system prompts. Reported scores include a GPT4All average of 73.12, AGIEval average of 43.07%, BigBench average of 40.96%, and TruthfulQA of 53.04. Quantized variants in GGUF, GPTQ, AWQ, and EXL2 formats are available for efficient deployment. OpenHermes 2.5 suits developers building applications where 7 billion parameters are enough, particularly code-heavy workloads that benefit from its blended training, or scenarios where a small, fast model keeps compute cost down. It represents an earlier point in the Hermes lineage, before Hermes 2 Pro's agentic enhancements and the Hermes 3 and 4 reasoning additions.
Openhermes2.5 Mistral 7B runs on 1 route through the Opper gateway. Compare residency, ZDR, and training posture at a glance — full data-handling detail per route below.
| Provider | Region | Zero data retention | Training | Input | Output |
|---|---|---|---|---|---|
| Novita | US | Enterprise | No | $0.17 | $0.17 |
Training posture across routes: No training on prompts by default.
Each route hosting Openhermes2.5 Mistral 7B has its own privacy posture, residency, and GDPR terms. Postures are maintained by Opper with a last-verification timestamp.
Zero data retention is available via Opper Enterprise contract. No training on customer data. US; SCCs; DPA available.
Call Openhermes2.5 Mistral 7B through the Opper gateway with one API key. Let your coding agent set it up, or call it directly — Opper is drop-in compatible with the OpenAI, Anthropic, and Google AI SDKs.
Copy this and paste it into your coding agent — Claude Code, Cursor, Codex, and more — and it'll wire up Opper for you.
import OpenAI from "openai";const client = new OpenAI({apiKey: process.env.OPPER_API_KEY,baseURL: "https://api.opper.ai/v3/compat",});const completion = await client.chat.completions.create({model: "novita/teknium/openhermes-2.5-mistral-7b",messages: [{ role: "user", content: "Hello" }],});console.log(completion.choices[0].message.content);
Side-by-side on privacy, EU hosting, pricing, and benchmarks.
