README.md

---
language:
- en
license: llama3
tags:
- Llama-3
- instruct
- finetune
- chatml
- gpt4
- synthetic data
- distillation
- function calling
- json mode
- axolotl
- roleplaying
- chat
- reasoning
- r1
- vllm
- TensorBlock
- GGUF
base_model: NousResearch/DeepHermes-3-Llama-3-3B-Preview
widget:
- example_title: Hermes 3
  messages:
  - role: system
    content: You are a sentient, superintelligent artificial general intelligence,
      here to teach and assist me.
  - role: user
    content: What is the meaning of life?
library_name: transformers
model-index:
- name: DeepHermes-3-Llama-3.1-3B
  results: []
---

<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="display: flex; justify-content: space-between; width: 100%;">
    <div style="display: flex; flex-direction: column; align-items: flex-start;">
        <p style="margin-top: 0.5em; margin-bottom: 0em;">
            Feedback and support: TensorBlock's  <a href="https://x.com/tensorblock_aoi">Twitter/X</a>, <a href="https://t.me/TensorBlock">Telegram Group</a> and <a href="https://x.com/tensorblock_aoi">Discord server</a>
        </p>
    </div>
</div>

## NousResearch/DeepHermes-3-Llama-3-3B-Preview - GGUF

This repo contains GGUF format model files for [NousResearch/DeepHermes-3-Llama-3-3B-Preview](https://huggingface.co/NousResearch/DeepHermes-3-Llama-3-3B-Preview).

The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4882](https://github.com/ggml-org/llama.cpp/commit/be7c3034108473beda214fd1d7c98fd6a7a3bdf5).

## Our projects
<table border="1" cellspacing="0" cellpadding="10">
<tr>
  <th style="font-size: 25px;">Awesome MCP Servers</th>
  <th style="font-size: 25px;">TensorBlock Studio</th>
</tr>
  <tr>
    <th><img src="https://imgur.com/2Xov7B7.jpeg" alt="Project A" width="450"/></th>
    <th><img src="https://imgur.com/pJcmF5u.jpeg" alt="Project B" width="450"/></th>
  </tr>
  <tr>
    <th>A comprehensive collection of Model Context Protocol (MCP) servers.</th>
    <th>A lightweight, open, and extensible multi-LLM interaction studio.</th>
  </tr>
<tr>
  <th>
    <a href="https://github.com/TensorBlock/awesome-mcp-servers" target="_blank" style="
      display: inline-block;
      padding: 8px 16px;
      background-color: #FF7F50;
      color: white;
      text-decoration: none;
      border-radius: 6px;
      font-weight: bold;
      font-family: sans-serif;
    ">👀 See what we built 👀</a>
  </th>
  <th>
    <a href="https://github.com/TensorBlock/TensorBlock-Studio" target="_blank" style="
      display: inline-block;
      padding: 8px 16px;
      background-color: #FF7F50;
      color: white;
      text-decoration: none;
      border-radius: 6px;
      font-weight: bold;
      font-family: sans-serif;
    ">👀 See what we built 👀</a>
  </th>
</tr>
</table>
## Prompt template

```
<|begin_of_text|><|start_header_id|>system<|end_header_id|>

{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>

{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
```

## Model file specification

| Filename | Quant type | File Size | Description |
| -------- | ---------- | --------- | ----------- |
| [DeepHermes-3-Llama-3-3B-Preview-Q2_K.gguf](https://huggingface.co/tensorblock/DeepHermes-3-Llama-3-3B-Preview-GGUF/blob/main/DeepHermes-3-Llama-3-3B-Preview-Q2_K.gguf) | Q2_K | 1.364 GB | smallest, significant quality loss - not recommended for most purposes |
| [DeepHermes-3-Llama-3-3B-Preview-Q3_K_S.gguf](https://huggingface.co/tensorblock/DeepHermes-3-Llama-3-3B-Preview-GGUF/blob/main/DeepHermes-3-Llama-3-3B-Preview-Q3_K_S.gguf) | Q3_K_S | 1.543 GB | very small, high quality loss |
| [DeepHermes-3-Llama-3-3B-Preview-Q3_K_M.gguf](https://huggingface.co/tensorblock/DeepHermes-3-Llama-3-3B-Preview-GGUF/blob/main/DeepHermes-3-Llama-3-3B-Preview-Q3_K_M.gguf) | Q3_K_M | 1.687 GB | very small, high quality loss |
| [DeepHermes-3-Llama-3-3B-Preview-Q3_K_L.gguf](https://huggingface.co/tensorblock/DeepHermes-3-Llama-3-3B-Preview-GGUF/blob/main/DeepHermes-3-Llama-3-3B-Preview-Q3_K_L.gguf) | Q3_K_L | 1.815 GB | small, substantial quality loss |
| [DeepHermes-3-Llama-3-3B-Preview-Q4_0.gguf](https://huggingface.co/tensorblock/DeepHermes-3-Llama-3-3B-Preview-GGUF/blob/main/DeepHermes-3-Llama-3-3B-Preview-Q4_0.gguf) | Q4_0 | 1.917 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| [DeepHermes-3-Llama-3-3B-Preview-Q4_K_S.gguf](https://huggingface.co/tensorblock/DeepHermes-3-Llama-3-3B-Preview-GGUF/blob/main/DeepHermes-3-Llama-3-3B-Preview-Q4_K_S.gguf) | Q4_K_S | 1.928 GB | small, greater quality loss |
| [DeepHermes-3-Llama-3-3B-Preview-Q4_K_M.gguf](https://huggingface.co/tensorblock/DeepHermes-3-Llama-3-3B-Preview-GGUF/blob/main/DeepHermes-3-Llama-3-3B-Preview-Q4_K_M.gguf) | Q4_K_M | 2.019 GB | medium, balanced quality - recommended |
| [DeepHermes-3-Llama-3-3B-Preview-Q5_0.gguf](https://huggingface.co/tensorblock/DeepHermes-3-Llama-3-3B-Preview-GGUF/blob/main/DeepHermes-3-Llama-3-3B-Preview-Q5_0.gguf) | Q5_0 | 2.270 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| [DeepHermes-3-Llama-3-3B-Preview-Q5_K_S.gguf](https://huggingface.co/tensorblock/DeepHermes-3-Llama-3-3B-Preview-GGUF/blob/main/DeepHermes-3-Llama-3-3B-Preview-Q5_K_S.gguf) | Q5_K_S | 2.270 GB | large, low quality loss - recommended |
| [DeepHermes-3-Llama-3-3B-Preview-Q5_K_M.gguf](https://huggingface.co/tensorblock/DeepHermes-3-Llama-3-3B-Preview-GGUF/blob/main/DeepHermes-3-Llama-3-3B-Preview-Q5_K_M.gguf) | Q5_K_M | 2.322 GB | large, very low quality loss - recommended |
| [DeepHermes-3-Llama-3-3B-Preview-Q6_K.gguf](https://huggingface.co/tensorblock/DeepHermes-3-Llama-3-3B-Preview-GGUF/blob/main/DeepHermes-3-Llama-3-3B-Preview-Q6_K.gguf) | Q6_K | 2.644 GB | very large, extremely low quality loss |
| [DeepHermes-3-Llama-3-3B-Preview-Q8_0.gguf](https://huggingface.co/tensorblock/DeepHermes-3-Llama-3-3B-Preview-GGUF/blob/main/DeepHermes-3-Llama-3-3B-Preview-Q8_0.gguf) | Q8_0 | 3.422 GB | very large, extremely low quality loss - not recommended |


## Downloading instruction

### Command line

Firstly, install Huggingface Client

```shell
pip install -U "huggingface_hub[cli]"
```

Then, downoad the individual model file the a local directory

```shell
huggingface-cli download tensorblock/DeepHermes-3-Llama-3-3B-Preview-GGUF --include "DeepHermes-3-Llama-3-3B-Preview-Q2_K.gguf" --local-dir MY_LOCAL_DIR
```

If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:

```shell
huggingface-cli download tensorblock/DeepHermes-3-Llama-3-3B-Preview-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
```