[whatmodel.sh](../../README.md) / Athene-V2-Chat 72B
# Athene-V2-Chat 72B
Nexusflow · released 2024-11 · 72.7B params · nexusflow-research
**score 57.0** ±1.4 · #246 of 732 · from 5 benchmark results across 4 sources
Score within the [LMArena (text)](https://whatmodel.sh/?set=lmarena-text&score=set) comparison set only.
## What it's good at
● marks Athene-V2-Chat 72B among every model on that task or test, worst to best.
task vs the others rank counts tests
chat & writing ▁▁▁▃▆▄▆●▆▇▇▃ #209 of 402 86% 4
chat & writing · #209 of 402 · 86% of its score
Beats [Gemma 2 9B IT SimPO](gemma-2-9b-simpo.md), [Granite 4.2 8B](granite-4-2-8b.md), [Mistral Small 4 (119B-A6.5B)](mistral-small-4.md) here, though they rank higher overall. Trails [LFM2.5 1.2B Instruct](lfm2-5-1-2b-instruct.md), [Gemma 3n E4B](gemma-3n-e4b.md), [LFM2.5 1.2B Thinking](lfm2-5-1-2b-thinking.md) here, though they rank lower overall.
test result vs the others in its run difficulty counts why
Arena-Hard (v0.1, GPT-4-1106 judg… 85.0% ▂▁▁▅█▅▄▃▃▅●▁ beats 57/60 medium · avg 47% 39% sharp
Arena-Hard v2.0 hard prompts (sty… 16.4% ▂·▃▅●·▃█▆▂▂▂ beats 6/22 very hard · avg 12% 21% sharp · at its level
LMArena (text) 1314.1 ▁▁▁▂▃▃▃●▆▇█▃ beats 144/385 avg 1260 21% blunt
Arena-Hard v2.0 creative writing … 18.1% ▆▂●▆▂▂▃█▂▃·▂ beats 5/22 hard · avg 19% 4.9% sharp · at its level · noisy
other tests (1)
test result vs the others in its run difficulty counts why
BRIDGE clinical text, zero-shot a… 41.7% ▁▁▁▁▁▂▂▃▄▆●▃ beats 85/97 hard · avg 31% 13% blunt · at its level
source results share of the score
Arena-Hard-Auto v0.1 leaderboard 1 39% ▇▇▇▇▇
Arena-Hard-Auto v2.0-Preview leaderboard 2 26% ▇▇▇
LMArena leaderboard dataset 1 21% ▇▇▇
BRIDGE Medical Leaderboard 1 13% ▇▇
prior: pull toward the middle 1% ▇
weighted average = 57.0
Licences: Arena-Hard-Auto v0.1 leaderboard ([Apache-2.0](../../licenses/arena-hard-auto-v0-1-Apache-2.0.txt)) · Arena-Hard-Auto v2.0-Preview leaderboard ([Apache-2.0](../../licenses/arena-hard-auto-Apache-2.0.txt)) · LMArena leaderboard dataset ([CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)) · BRIDGE Medical Leaderboard ([MIT](../../licenses/bridge-medical-leaderboard-MIT.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 Athene-V2-Chat 72B (Q4_K_M, needs ~47.4 GB, from [huggingface.co/lmstudio-community](https://huggingface.co/lmstudio-community/Athene-V2-Chat-GGUF/tree/738b7c23ea1ae327fa76d915c98fbeceebfbe77f))
```sh
llama cli -hf lmstudio-community/Athene-V2-Chat-GGUF:Q4_K_M
```
3. Or start a local server and open the address it prints (http://localhost:9931)
```sh
llama serve -hf lmstudio-community/Athene-V2-Chat-GGUF:Q4_K_M
```
Other versions: Q8_0 (~77.3 GB) `llama cli -hf lmstudio-community/Athene-V2-Chat-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 Athene-V2-Chat 72B (Q4_K_M, needs ~47.4 GB, from [huggingface.co/lmstudio-community](https://huggingface.co/lmstudio-community/Athene-V2-Chat-GGUF/tree/738b7c23ea1ae327fa76d915c98fbeceebfbe77f))
```sh
lms get https://huggingface.co/lmstudio-community/Athene-V2-Chat-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 (~77.3 GB) `lms get https://huggingface.co/lmstudio-community/Athene-V2-Chat-GGUF@Q8_0 -y` · 4bit (~40.9 GB, Mac only) `lms get https://huggingface.co/mlx-community/Athene-V2-Chat-4bit -y` · 8bit (~77.3 GB, Mac only) `lms get https://huggingface.co/mlx-community/Athene-V2-Chat-8bit -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 Athene-V2-Chat 72B (Q4_K_M, needs ~44.12 GB, from [ollama.com](https://ollama.com/library/athene-v2/tags))
```sh
ollama run athene-v2:72b-q4_K_M
```
Other versions: Q8_0 (~87.74 GB) `ollama run athene-v2:72b-q8_0`
### MLX (Mac)
1. Install MLX (Mac). Apple silicon Macs only, text only.
```sh
# with uv
uv tool install mlx-lm
# or
pip install mlx-lm
```
2. Run Athene-V2-Chat 72B (4bit, needs ~40.9 GB, Mac only, from [huggingface.co/mlx-community](https://huggingface.co/mlx-community/Athene-V2-Chat-4bit/tree/a1dbe1a33db6ac95dbca93094916f3012fef532e))
```sh
mlx_lm.chat --model mlx-community/Athene-V2-Chat-4bit
```
3. Or start an OpenAI-compatible server at http://localhost:8080/v1
```sh
mlx_lm.server --model mlx-community/Athene-V2-Chat-4bit
```
Other versions: 8bit (~77.3 GB, Mac only) `mlx_lm.chat --model mlx-community/Athene-V2-Chat-8bit`
Model repository and documentation: [huggingface.co/Nexusflow](https://huggingface.co/Nexusflow/Athene-V2-Chat)
[interactive version](https://whatmodel.sh/model/athene-v2-chat) · [JSON](https://whatmodel.sh/api?format=json&all=1)