whatmodel.sh / Athene-V2-Chat 72B

Athene-V2-Chat 72B

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Athene-V2-Chat 72B is an open-weights language model from Nexusflow, released November 2024. Its published size is 72.7B parameters and a 33k-token context window. Licence: nexusflow-research.

Catalogue identity notes

Arena entry 'athene-v2-chat' (text). LMArena's leaderboard table (arena-leaderboard space @6f2eeeb) labels 'athene-v2-chat' as 'Athene-v2-Chat-72B' (NexusFlow, NexusFlow), linking https://huggingface.co/Nexusflow/Athene-V2-Chat. Maker repo Nexusflow/Athene-V2-Chat @493f1bb: licence tag other. 72,706,203,648 parameters from the Hugging Face safetensors metadata (dense, so active = total). Released 2024-11: month the maker's Hugging Face repo was created (createdAt 2024-11-12).

56.3±1.5#241 of 719 LLMsfrom 5 benchmark results across 4 sources

$ how it compares

The LLMs ranked either side of Athene-V2-Chat 72B, out of 828 with a score, then more from Nexusflow.

#modelscorewhereRAMreleased
288Gemini 1.5 Pro Experimental (0827) Google56±1comparison only2024-08
289Gemini 1.5 Pro (002) Google56±1comparison only2024-09
290Athene-V2-Chat 72B Nexusflow56±2local~44GB2024-11
291Gemini 2.0 Flash Experimental Google56±1comparison only2024-12
292Sky-T1 32B Preview NovaSky (UC Berkeley)56±5local~21GB2025-01
more from Nexusflow
401Athene-70B Nexusflow51±1local~29GB2024-07
626Starling-LM 7B beta Nexusflow40±1local~6GB2024-03
753NexusRaven V2 13B Nexusflow29±3local~9.3GB2023-12

see all LLMs · find the ones that fit your machine

$ what it's good at

chat & writing▁▁▁▃▅▄▅█▆▆▇▃ #200 of 393 · 89% of its score · 4 tests

Beats Granite 4.2 8B, Qwen3-VL 30B-A3B Thinking, Mistral Small 4 (119B-A6.5B) here, though they rank higher overall. Trails LFM2.5 1.2B Instruct, LFM2.5 1.2B Thinking, Gemma 3 12B here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
Arena-Hard (v0.1, GPT-4-1106 judge)85.0% ✎▂▁▁▅█▅▄▃▃▅▃▁ beats 57/60medium · avg 52%▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 39%sharp
Arena-Hard v2.0 hard prompts (style control, Gemini-2.5 judge)16.4% ✎▂·▃▅▅·▃█▆▂▂▂ beats 6/22very hard · avg 12%▇▇▇▇▇▇▇▇▇▇ 25%sharp · at its level
LMArena (text)1314.1 ✎▁▁▁▂▃▃▃▆▆▇█▃ beats 144/379avg 1268▇▇▇▇▇▇▇▇ 19%blunt
Arena-Hard v2.0 creative writing (GPT-4.1 + Gemini-2.5 judges)18.1% ✎▆▂▃▆▂▂▃█▂▃·▂ beats 5/22hard · avg 19%▇▇ 5.0%sharp · at its level · noisy
other tests1 not in a task · 10% of its score
testresultvs the others in its rundifficultycountswhy
BRIDGE clinical text, zero-shot average (87 tasks)41.7% ✎▁▁▁▁▁▂▂▃▄▆█▃ beats 85/97hard · avg 32%▇▇▇▇ 10%blunt · at its level

$ where to run it

llama.cpp · recommended

version

  1. Install llama.cpp · Homebrew and winget installs name the commands llama-cli and llama-server instead.
    macOS / Linux
    curl -LsSf https://llama.app/install.sh | sh
    Windows
    irm https://llama.app/install.ps1 | iex

    other ways to install ↗

  2. Run Athene-V2-Chat 72B · needs ~47.4 GB · from huggingface.co/lmstudio-community
    chat in the terminal
    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)
    llama serve -hf lmstudio-community/Athene-V2-Chat-GGUF:Q4_K_M

LM Studio

version

  1. Install LM Studio · Open the app once before using the lms command.

    download it (macOS / Windows / Linux) ↗

  2. Run Athene-V2-Chat 72B · needs ~47.4 GB · from huggingface.co/lmstudio-community

    open in LM Studio ↗

  3. Or download it in the terminal
    lms get https://huggingface.co/lmstudio-community/Athene-V2-Chat-GGUF@Q4_K_M -y
  4. Then run lms ls to see its name, and lms chat followed by that name

Ollama

version

  1. Install Ollama

    download it (macOS / Windows) ↗

    Linux
    curl -fsSL https://ollama.com/install.sh | sh
  2. Run Athene-V2-Chat 72B · needs ~44.12 GB · from ollama.com
    chat in the terminal
    ollama run athene-v2:72b-q4_K_M

MLX (Mac)

version

  1. Install MLX (Mac) · Apple silicon Macs only, text only.
    with uv
    uv tool install mlx-lm
    or
    pip install mlx-lm
  2. Run Athene-V2-Chat 72B · needs ~40.9 GB, Mac only · from huggingface.co/mlx-community
    chat in the terminal
    mlx_lm.chat --model mlx-community/Athene-V2-Chat-4bit
  3. Or start an OpenAI-compatible server at http://localhost:8080/v1
    mlx_lm.server --model mlx-community/Athene-V2-Chat-4bit

Official weights and documentation: huggingface.co/Nexusflow ↗

$ how the score was worked out · Arena-Hard-Auto v0.1 leaderbo… 39%, Arena-Hard-Auto v2.0-Preview… 30%, LMArena leaderboard dataset 19% and 1 more

Each result implies a score on its own, after adjusting for how hard its test is and who ran it. The score is their weighted average, with a small pull toward the middle for thinly tested models. Each test's weight is its counts column above; here it's added up by who ran the tests. How it works

sourceresultsshare of the scorelicence
Arena-Hard-Auto v0.1 leaderboard (repository README, pre-v2)1▇▇▇▇▇▇▇▇▇▇▇▇ 39%Apache-2.0
Arena-Hard-Auto v2.0-Preview leaderboard (repository README)2▇▇▇▇▇▇▇▇▇ 30%Apache-2.0
LMArena leaderboard dataset1▇▇▇▇▇▇ 19%CC BY 4.0
BRIDGE Medical Leaderboard (Harvard Medical School / Brigham and Women's YLab)1▇▇▇ 10%MIT
prior · pull toward the middle▇ 1%
weighted average= 56.3

$ improve this page

Update model informationAdd a place to run itAdd a test resultPropose a benchmarkCorrect a benchmark scoreEdit data on GitHub

Use a short GitHub form or edit the data through a pull request. Every number needs a source; here's which ones we can use.

data updated · sources and licences · json