[whatmodel.sh](../../README.md) / Nous-Hermes-13b
# Nous-Hermes-13b
Nous Research · released 2023-06 · gpl
**score 36.3** ±2.1 · #618 of 732 · from 3 benchmark results across 2 sources
Score within the [LMArena (text)](https://whatmodel.sh/?set=lmarena-text&score=set) comparison set only.
## What it's good at
● marks Nous-Hermes-13b among every model on that task or test, worst to best.
task vs the others rank counts tests
chat & writing ▁▁▁●▆▄▆█▆▇▇▃ #388 of 402* 88% 2
chat & writing · #388 of 402 · 88% of its score
Beats [Phi-2 (2.7B)](phi-2.md) here, though they rank higher overall. Trails [Gemma 3 270M IT](gemma-3-270m.md), [SmolLM2 360M Instruct](smollm2-360m.md), [Granite 4.0 350M](granite-4-0-350m.md) here, though they rank lower overall.
test result vs the others in its run difficulty counts why
AlpacaEval 2 length-controlled 9.7% ▁▂▂●▆▆█▆▄▄▁▁ beats 21/122 medium · avg 35% 77% sharp
AlpacaEval 1.0 win rate (vs text-… 65.5% ▂▂·▆·●▃▆█▆▄▂ beats 11/45 very easy · avg 94% 11% sharp · at its level · noisy
other tests (1)
test result vs the others in its run difficulty counts why
Open PT-LLM Leaderboard average (… 55.7% ▃▁▁▁▁▁▁▁●█▅▁ beats 77/276 medium · avg 72% 10% at its level · noisy
source results share of the score
AlpacaEval 1.0 and 2.0 leaderboards 2 88% ▇▇▇▇▇▇▇▇▇▇▇
Open Portuguese LLM Leaderboard 1 10% ▇
prior: pull toward the middle 2% ▇
weighted average = 36.3
Licences: AlpacaEval 1.0 and 2.0 leaderboards ([Apache-2.0](https://www.apache.org/licenses/LICENSE-2.0)) · Open Portuguese LLM Leaderboard ([Apache-2.0](../../licenses/hf-leaderboard-spaces-Apache-2.0.txt))
## How to run it
### llama.cpp (recommended)
1. Install llama.cpp. Homebrew and winget installs name the commands llama-cli and llama-server instead. [Other ways to install](https://github.com/ggml-org/llama.cpp/blob/master/docs/install.md)
```sh
# macOS / Linux
curl -LsSf https://llama.app/install.sh | sh
# Windows
irm https://llama.app/install.ps1 | iex
```
2. Run Nous-Hermes-13b (Q4_K_M, needs ~7.9 GB, from [huggingface.co/TheBloke](https://huggingface.co/TheBloke/Nous-Hermes-13B-GGUF/tree/1fdc990e0588a21093ba3091f7117c3632e42901))
```sh
llama cli -hf TheBloke/Nous-Hermes-13B-GGUF:Q4_K_M
```
3. Or start a local server and open the address it prints (http://localhost:9931)
```sh
llama serve -hf TheBloke/Nous-Hermes-13B-GGUF:Q4_K_M
```
Other versions: Q8_0 (~13.8 GB) `llama cli -hf TheBloke/Nous-Hermes-13B-GGUF:Q8_0`
### LM Studio
1. Install LM Studio. Open the app once before using the lms command. [Download it (macOS / Windows / Linux)](https://lmstudio.ai/download)
2. Run Nous-Hermes-13b (Q4_K_M, needs ~7.9 GB, from [huggingface.co/TheBloke](https://huggingface.co/TheBloke/Nous-Hermes-13B-GGUF/tree/1fdc990e0588a21093ba3091f7117c3632e42901))
```sh
lms get https://huggingface.co/TheBloke/Nous-Hermes-13B-GGUF@Q4_K_M -y
```
3. Then run lms ls to see its name, and lms chat followed by that name
Other versions: Q8_0 (~13.8 GB) `lms get https://huggingface.co/TheBloke/Nous-Hermes-13B-GGUF@Q8_0 -y`
### Ollama
1. Install Ollama. [Download it (macOS / Windows)](https://ollama.com/download)
```sh
# Linux
curl -fsSL https://ollama.com/install.sh | sh
```
2. Run Nous-Hermes-13b (Q4_K_M, needs ~7.9 GB, from [huggingface.co/TheBloke](https://huggingface.co/TheBloke/Nous-Hermes-13B-GGUF/tree/1fdc990e0588a21093ba3091f7117c3632e42901))
```sh
ollama run hf.co/TheBloke/Nous-Hermes-13B-GGUF:Q4_K_M
```
Other versions: Q8_0 (~13.8 GB) `ollama run hf.co/TheBloke/Nous-Hermes-13B-GGUF:Q8_0`
### Other ways to run it
1. Run it as published (BF16, needs ~26.03 GB, from [huggingface.co/NousResearch](https://huggingface.co/NousResearch/Nous-Hermes-13b/tree/24e8c03148ffd1f3e469744dfc24ad2ad82848f8))
```sh
uv run --with torch --with 'transformers<5' --with accelerate python -c "from transformers import pipeline; print(pipeline('text-generation', model='NousResearch/Nous-Hermes-13b', torch_dtype='auto', device_map='auto')('Once upon a time', max_new_tokens=40)[0]['generated_text'])"
```
Model repository and documentation: [huggingface.co/NousResearch](https://huggingface.co/NousResearch/Nous-Hermes-13b)
[interactive version](https://whatmodel.sh/model/nous-hermes-13b) · [JSON](https://whatmodel.sh/api?format=json&all=1)