whatmodel.sh / Notus 7B v1

Notus 7B v1

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Notus 7B v1 is an open-weights language model from Argilla, released November 2023. Its published size is 7.24B parameters. Licence: mit.

Catalogue identity notes

argilla/notus-7b-v1 @3017220 (created 2023-11-16, licence mit). Independent row: Open PT-LLM (Portuguese) leaderboard average.

Model information sources

Release date ↗ · Weights licence ↗

HF safetensors metadata 7,241,732,096 parameters.

45.1±6.4#584 of 949 LLMsfrom 1 benchmark result across 1 source* thinly tested, treat the rank as provisional

$ how it compares

The LLMs ranked either side of Notus 7B v1, out of 1132 with a score.

#modelscorewhereRAMreleased
734OpenThinker 7B Open Thoughts45±2local~6GB2025-01
735Phi-3 Medium 128K Instruct Microsoft45±1local~9.8GB2024-04
736Notus 7B v1 Argilla45±6local~5.8GB2023-11
737QwQ-32B-Preview Alibaba45±2local~21GB2024-11
738DeepSeek-Coder-V2 Lite Instruct (16B-A2.4B) DeepSeek45±1local~11GB2024-06

see all LLMs · find the ones that fit your machine

$ what it's good at

other tests1 not in a task · 82% of its score
testresultvs the others in its rundifficultycountswhy
Open PT-LLM Leaderboard average (9 Portuguese tasks)64.8% ✎▃▁▁▁▁▁▁▁▂█▅▁ beats 113/276medium · avg 73%▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 82%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 Notus 7B v1 · needs ~4.4 GB · from huggingface.co/TheBloke
    chat in the terminal
    llama cli -hf TheBloke/notus-7B-v1-GGUF:Q4_K_M
  3. Or start a local server and open the address it prints (http://localhost:9931)
    llama serve -hf TheBloke/notus-7B-v1-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 Notus 7B v1 · needs ~4.4 GB · from huggingface.co/TheBloke

    open in LM Studio ↗

  3. Or download it in the terminal
    lms get https://huggingface.co/TheBloke/notus-7B-v1-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 Notus 7B v1 · needs ~4.1 GB · from ollama.com
    chat in the terminal
    ollama run notus:7b

Official weights and documentation: huggingface.co/argilla ↗

$ how the score was worked out · Open Portuguese LLM Leaderboa… 82%

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
Open Portuguese LLM Leaderboard (archived)1▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 82%Apache-2.0
prior · pull toward the middle▇▇▇▇▇ 18%
weighted average= 45.1

$ 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