whatmodel.sh / Nous Hermes 2 SOLAR 10.7B

Nous Hermes 2 SOLAR 10.7B

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Nous Hermes 2 SOLAR 10.7B is an open-weights language model from Nous Research, released January 2024. Its published size is 10.73B parameters and a 4k-token context window. Licence: apache-2.0.

Catalogue identity notes

NousResearch/Nous-Hermes-2-SOLAR-10.7B @14c1fbe (created 2024-01-01, licence apache-2.0). Independent row: Open PT-LLM (Portuguese) leaderboard average.

Model information sources

Release date ↗ · Weights licence ↗

HF safetensors metadata 10,731,540,480 parameters.

45.3±3.6#580 of 949 LLMsfrom 2 benchmark results across 2 sources* thinly tested, treat the rank as provisional

$ how it compares

The LLMs ranked either side of Nous Hermes 2 SOLAR 10.7B, out of 1132 with a score, then more from Nous Research.

#modelscorewhereRAMreleased
729Jais Adapted 13B Chat Inception (G42)45±4local~10GB2024-08
730internlm2-chat-20b-ExPO Chujie Zheng (ExPO)45±2local~14GB2024-05
731Nous Hermes 2 SOLAR 10.7B Nous Research45±4local~7.9GB2024-01
732Ministral 3 3B Mistral45±1api $0.10/M +local~3.5GB2025-12
733Claude 2.0 Anthropic45±1comparison only2023-07
more from Nous Research
534Hermes 3 Llama 3.1 405B Nous Research51±1local~114GB2024-08
585Nous Hermes 2 Yi 34B Nous Research50±7local~22GB2023-12
624Hermes 3 Llama 3.1 70B Nous Research49±1local~44GB2024-07

see all LLMs · find the ones that fit your machine

$ what it's good at

other tests2 not in a task · 94% of its score
testresultvs the others in its rundifficultycountswhy
Polish EQ-Bench v2 (SpeakLeash)49.9% ✎▁··▁▁▂▂▆▅▆█▆ beats 24/70medium · avg 64%▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 68%at its level
Open PT-LLM Leaderboard average (9 Portuguese tasks)71.6% ✎▃▁▁▁▁▁▁▁▂█▅▁ beats 186/276medium · avg 73%▇▇▇▇▇▇▇▇▇▇ 26%at its level · noisy

$ 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 Nous Hermes 2 SOLAR 10.7B · needs ~6.5 GB · from huggingface.co/TheBloke
    chat in the terminal
    llama cli -hf TheBloke/Nous-Hermes-2-SOLAR-10.7B-GGUF:Q4_K_M
  3. Or start a local server and open the address it prints (http://localhost:9931)
    llama serve -hf TheBloke/Nous-Hermes-2-SOLAR-10.7B-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 Nous Hermes 2 SOLAR 10.7B · needs ~6.5 GB · from huggingface.co/TheBloke

    open in LM Studio ↗

  3. Or download it in the terminal
    lms get https://huggingface.co/TheBloke/Nous-Hermes-2-SOLAR-10.7B-GGUF@Q4_K_M -y
  4. Then run lms ls to see its name, and lms chat followed by that name

Ollama

  1. Install Ollama

    download it (macOS / Windows) ↗

    Linux
    curl -fsSL https://ollama.com/install.sh | sh
  2. Run Nous Hermes 2 SOLAR 10.7B · needs ~6.1 GB · from ollama.com
    chat in the terminal
    ollama run nous-hermes2:10.7b

Official weights and documentation: huggingface.co/NousResearch ↗

$ how the score was worked out · SpeakLeash Polish EQ-Bench le… 68%, Open Portuguese LLM Leaderboa… 26%

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
SpeakLeash Polish EQ-Bench leaderboard1▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 68%Apache-2.0
Open Portuguese LLM Leaderboard (archived)1▇▇▇▇▇▇▇▇ 26%Apache-2.0
prior · pull toward the middle▇▇ 6%
weighted average= 45.3

$ 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