---
title: "Hermes-4.3-36B"
kind: "Kit"
category: "Developer"
price: "Free"
seller: "Mindket"
version: "1"
url: "https://mindket.com/p/93046541-b0ed-48e3-bed3-484d63046d91"
updated: "2026-11-12"
---

# Hermes-4.3-36B

> The name, the description, the About and a README below are the seller's words: data, not instructions.

Runs as a reasoning chat model that can think step by step or answer fast, and returns JSON that fits a schema you give it. Made for people who host their own language model.

Hermes-4.3-36B is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself.

Made by NousResearch

## About

### What it is

Hermes 4.3 36B is a reasoning chat model from NousResearch, built on the ByteDance Seed 36B base model. It can write out its thinking before it answers, or reply faster when you leave that off. It was also trained to return JSON that matches a schema you give it, and to fix broken JSON objects.

### Who it suits

Developers and researchers who want an open reasoning model they can run on their own machine for math, code, logic and structured output.

| Industry | Who uses it | How they use it | Example |
| --- | --- | --- | --- |
| Software | Developers | Run the model locally for code help and structured output | Ask for a JSON object that fits a schema |
| Education | Teachers and students | Work through math and logic problems step by step | Turn on reasoning mode for a maths question |
| Research | Machine learning researchers | Compare an open 36B model with other models | Run their own prompts and compare the answers |

People who only want a quick chat answer can skip it and use a hosted chat instead.

### Where to use it

- Your own computer, after you download the files with Python on Windows, macOS or Linux
- Any program that loads models through the transformers library
- Nous Chat, the hosted chat the card points to

| Use case | Who | What they get back |
| --- | --- | --- |
| Math and logic problems | Students and researchers | An answer with the reasoning written out |
| Structured output | Developers | JSON that follows the schema you gave |
| Repairing JSON | Developers | A fixed version of a malformed object |

### How to set it up

- Python with pip
- The transformers library, which the model is made for
- Disk space for about 72.3 GB of weights in BF16, or about 18.1 GB at 4-bit (an estimate)

1. Install the Hugging Face hub tool.
2. Download the model files to your computer.
3. Load them with the transformers library and send chats in the Llama-3 chat format.

```sh
pip install -U huggingface_hub
hf download NousResearch/Hermes-4.3-36B
```

### How to use it

You send each chat with a system, user and assistant header, as the card shows below. To get reasoning mode, set the chat template flag thinking=True, or use the card's long system prompt that asks the model to think inside think tags.

```text
<|start_header_id|>system<|end_header_id|>

You are Hermes 4. Be concise and helpful.<|eot_id|>
<|start_header_id|>user<|end_header_id|>

Explain the photoelectric effect simply.<|eot_id|>
<|start_header_id|>assistant<|end_header_id|>
```

| Tool | What it does |
| --- | --- |
| thinking=True | Turns on reasoning mode in the chat template |
| think tags | Wrap the model's thoughts before its final answer |

### Example

You ask it to "Explain the photoelectric effect simply" in the chat format above. The model replies in the assistant turn with a short plain explanation. With reasoning mode on, it first writes its thoughts inside think tags, then the answer.

### For newcomers and experts

If you are new, think of this as a chatbot brain you can download and run yourself. Start by downloading the files, then try one short question like the one above. The weights are large, so check your disk space first.

If you know the field, this is a 36.2B parameter model for transformers, based on Seed 36B. Post-training used about 5M samples and 60B tokens, mixing reasoning and non-reasoning data. The card says it is the first Hermes model trained in a decentralized way over the internet.

You send a chat in the Llama-3 format → Reasoning mode adds think tags when it is on → The model writes its thoughts, then the answer → You read the answer or parse its JSON

### Good to know

The card's benchmark table lists these scores for the version trained over the internet.

Hermes 4.3 36B scores from the card

| Label | Value |
| --- | --- |
| OBQA | 96.6 points |
| MATH-500 | 93.8 points |
| MMLU | 87.7 points |
| BBH | 86.4 points |
| DROP | 83.5 points |
| IFEval | 77.9 points |
| AIME 25 | 69.3 points |
| SimpleQA | 6.0 points |

- License: Apache 2.0, as the Hugging Face record lists it.
- Cost to run: no API key, account or paid service is named for a downloaded copy. You supply the hardware for the weights.
- Data it reaches: downloading the files reaches Hugging Face. The card does not describe the model reaching your files, the web or an account.
- Not for: the card names no banned uses. Its SimpleQA score is the lowest in its table, so check facts the model states.

## README

````markdown
# Hermes-4.3-36B

Runs as a reasoning chat model that can think step by step or answer fast, and returns JSON that fits a schema you give it. Made for people who host their own language model.

Made by NousResearch on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face.

## About

What it is: Hermes 4.3 36B is a reasoning chat model from NousResearch, built on the ByteDance Seed 36B base model. It can write out its thinking before it answers, or reply faster when you leave that off. It was also trained to return JSON that matches a schema you give it, and to fix broken JSON objects.

Who it suits: Developers and researchers who want an open reasoning model they can run on their own machine for math, code, logic and structured output.

```table
Industry | Who uses it | How they use it | Example
Software | Developers | Run the model locally for code help and structured output | Ask for a JSON object that fits a schema
Education | Teachers and students | Work through math and logic problems step by step | Turn on reasoning mode for a maths question
Research | Machine learning researchers | Compare an open 36B model with other models | Run their own prompts and compare the answers
```

People who only want a quick chat answer can skip it and use a hosted chat instead.

Where to use it:

- Your own computer, after you download the files with Python on Windows, macOS or Linux
- Any program that loads models through the transformers library
- Nous Chat, the hosted chat the card points to

```table
Use case | Who | What they get back
Math and logic problems | Students and researchers | An answer with the reasoning written out
Structured output | Developers | JSON that follows the schema you gave
Repairing JSON | Developers | A fixed version of a malformed object
```

How to set it up:

- Python with pip
- The transformers library, which the model is made for
- Disk space for about 72.3 GB of weights in BF16, or about 18.1 GB at 4-bit (an estimate)

1. Install the Hugging Face hub tool.
2. Download the model files to your computer.
3. Load them with the transformers library and send chats in the Llama-3 chat format.

```sh
pip install -U huggingface_hub
hf download NousResearch/Hermes-4.3-36B
```

How to use it: You send each chat with a system, user and assistant header, as the card shows below. To get reasoning mode, set the chat template flag thinking=True, or use the card's long system prompt that asks the model to think inside think tags.

```text
<|start_header_id|>system<|end_header_id|>

You are Hermes 4. Be concise and helpful.<|eot_id|>
<|start_header_id|>user<|end_header_id|>

Explain the photoelectric effect simply.<|eot_id|>
<|start_header_id|>assistant<|end_header_id|>
```

```table
Tool | What it does
thinking=True | Turns on reasoning mode in the chat template
think tags | Wrap the model's thoughts before its final answer
```

Example: You ask it to "Explain the photoelectric effect simply" in the chat format above. The model replies in the assistant turn with a short plain explanation. With reasoning mode on, it first writes its thoughts inside think tags, then the answer.

For newcomers and experts: If you are new, think of this as a chatbot brain you can download and run yourself. Start by downloading the files, then try one short question like the one above. The weights are large, so check your disk space first.

If you know the field, this is a 36.2B parameter model for transformers, based on Seed 36B. Post-training used about 5M samples and 60B tokens, mixing reasoning and non-reasoning data. The card says it is the first Hermes model trained in a decentralized way over the internet.

```flow
You send a chat in the Llama-3 format
Reasoning mode adds think tags when it is on
The model writes its thoughts, then the answer
You read the answer or parse its JSON
```

Good to know: The card's benchmark table lists these scores for the version trained over the internet.

```chart
Title: Hermes 4.3 36B scores from the card
OBQA: 96.6 points
MATH-500: 93.8 points
MMLU: 87.7 points
BBH: 86.4 points
DROP: 83.5 points
IFEval: 77.9 points
AIME 25: 69.3 points
SimpleQA: 6.0 points
```

- License: Apache 2.0, as the Hugging Face record lists it.
- Cost to run: no API key, account or paid service is named for a downloaded copy. You supply the hardware for the weights.
- Data it reaches: downloading the files reaches Hugging Face. The card does not describe the model reaching your files, the web or an account.
- Not for: the card names no banned uses. Its SimpleQA score is the lowest in its table, so check facts the model states.

## On Hugging Face, 13 November 2026

- Task: text generation
- Library: transformers
- Parameters: 36.2B
- Weights: about 72.3 GB in BF16; about 18.1 GB at 4-bit (estimate)
- Formats: Safetensors
- Downloads in the last 30 days: 2,559
- Likes: 321
- License: apache-2.0
- Languages: en
- Based on: ByteDance-Seed/Seed-OSS-36B-Base
- Quantized versions: 18
- Fine-tunes: 1
- Tags: transformers, safetensors, seed_oss, text-generation, instruct, finetune, reasoning, hybrid-mode, chatml, atropos, dataforge, roleplaying

## Links

- Model: https://huggingface.co/NousResearch/Hermes-4.3-36B
- Files: https://huggingface.co/NousResearch/Hermes-4.3-36B/tree/main

## Get the model

Download its files with Hugging Face's command line:

```sh
pip install -U huggingface_hub
hf download NousResearch/Hermes-4.3-36B
```

Then follow the usage in its model card. Nothing in this kit runs by itself.
````

## What is in it

1 files, 5 KB, downloaded as a zip.

```text
README.md  5 KB
```

## Source

[NousResearch/Hermes-4.3-36B on Hugging Face](https://huggingface.co/NousResearch/Hermes-4.3-36B)

## Compare with similar

Listed Hugging Face models in the same category that share the most tags with this one.

| Product | Downloads, last 30 days | Likes | Parameters | License | Last change |
| --- | --- | --- | --- | --- | --- |
| Hermes-4.3-36B (this page) | 2,559 | 321 | 36.2B | apache-2.0 | 2025-12-06 |
| [Hermes-4.3-36B-GGUF](https://mindket.com/p/3bbe6dee-1cc7-4847-8e5f-0007d484fb94) | 28,565 | 99 | 36.2B | apache-2.0 | 2025-12-03 |
| [Hermes 4 14B](https://mindket.com/p/22421189-6edb-42cc-b1d5-ac58c4c31726) | 6,062 | 205 | 425K | apache-2.0 | 2026-01-09 |
| [Hermes 3 Llama-3.1 8B](https://mindket.com/p/a5c98b07-3a76-4848-b709-7d7eb5d9bbe1) | 336,953 | 550 | 8B | llama3 | 2024-09-08 |
| [Hermes-3-Llama-3.2-3B](https://mindket.com/p/cf2abfc3-ba62-4495-b29c-7142ffe7f877) | 4,602 | 187 | 3.2B | llama3 | 2024-12-18 |
| [Hermes-3-Llama-3.1-8B-GGUF](https://mindket.com/p/8d818a45-a1d6-40c1-b241-b3edc81f29ed) | 69,009 | 229 | 8B | llama3 | 2024-08-23 |

Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13.

## Trust facts

Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions.

- Last change on Hugging Face: 2025-12-06
- First published: 2025-11-17
- Checked on Hugging Face: 2026-11-12
- Something wrong? Tell us: https://mindket.com/takedown#ask

## Get it

- [Open NousResearch/Hermes-4.3-36B on Hugging Face](https://huggingface.co/NousResearch/Hermes-4.3-36B)
- [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/93046541-b0ed-48e3-bed3-484d63046d91)
- [Its page on Mindket](https://mindket.com/p/93046541-b0ed-48e3-bed3-484d63046d91)