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OpenChat 3.5 0106 Gemma

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OpenChat 3.5 0106 Gemma is an open-weights language model from OpenChat, released March 2024. Its published size is 8.54B parameters and a 8k-token context window. Licence: other (gemma-terms-of-use).

Catalogue identity notes

Maker repo openchat/openchat-3.5-0106-gemma @5316738: licence tag other (gemma-terms-of-use). 8,537,680,896 parameters from the Hugging Face safetensors metadata (dense, so active = total). Released 2024-03: month the maker's Hugging Face repo was created (createdAt 2024-03-09).

45.6±2.7#433 of 719 LLMsfrom 3 benchmark results across 3 sources

$ how it compares

The LLMs ranked either side of OpenChat 3.5 0106 Gemma, out of 828 with a score, then more from OpenChat.

#modelscorewhereRAMreleased
516Tulu 2 70B Allen Institute for AI46±2local~28GB2023-11
517LFM2 8B-A1B Liquid AI46±1comparison only2025-10
518OpenChat 3.5 0106 Gemma OpenChat46±3local~6.9GB2024-03
519Olmo 3 7B Instruct Ai246±1local~5.8GB2025-11
520InternLM2.5 20B Chat Shanghai AI Laboratory (InternLM)46±2local~14GB2024-08
more from OpenChat
505OpenChat 3.5 0106 OpenChat46±1local~6.1GB2024-01
603OpenChat 3.5 OpenChat41±2local~6.1GB2023-10

see all LLMs · find the ones that fit your machine

$ what it's good at

other tests3 not in a task · 97% of its score
testresultvs the others in its rundifficultycountswhy
CPTUB average (SpeakLeash, 0-5 judge scale)54.7% ✎▁▂▂▂▃█▃▆▅▄▂▃ beats 21/95easy · avg 66%▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 46%at its level
Polish EQ-Bench v2 (SpeakLeash)58.6% ✎▁··▁▁▂▂▆▅▆█▆ beats 39/70medium · avg 64%▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 37%at its level
Open PT-LLM Leaderboard average (9 Portuguese tasks)72.7% ✎▃▁▁▁▁▁▁▁▂█▅▁ beats 199/276medium · avg 73%▇▇▇▇▇▇ 14%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 OpenChat 3.5 0106 Gemma · needs ~5.1 GB · from huggingface.co/bartowski
    chat in the terminal
    llama cli -hf bartowski/openchat-3.5-0106-gemma-GGUF:Q4_K_M
  3. Or start a local server and open the address it prints (http://localhost:9931)
    llama serve -hf bartowski/openchat-3.5-0106-gemma-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 OpenChat 3.5 0106 Gemma · needs ~5.1 GB · from huggingface.co/bartowski

    open in LM Studio ↗

  3. Or download it in the terminal
    lms get https://huggingface.co/bartowski/openchat-3.5-0106-gemma-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 OpenChat 3.5 0106 Gemma · needs ~5.1 GB · from huggingface.co/bartowski
    chat in the terminal
    ollama run hf.co/bartowski/openchat-3.5-0106-gemma-GGUF:Q4_K_M

Other ways to run it

  1. Run it as published · needs ~17.08 GB · from huggingface.co/openchat (official)
    uv run --with torch --with 'transformers<5' --with accelerate python -c "from transformers import pipeline; print(pipeline('text-generation', model='openchat/openchat-3.5-0106-gemma', torch_dtype='auto', device_map='auto')('Once upon a time', max_new_tokens=40)[0]['generated_text'])"

Official weights and documentation: huggingface.co/openchat ↗

$ how the score was worked out · SpeakLeash CPTUB (Complex Pol… 46%, SpeakLeash Polish EQ-Bench le… 37%, Open Portuguese LLM Leaderboa… 14%

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 CPTUB (Complex Polish Text Understanding Benchmark)1▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 46%MIT
SpeakLeash Polish EQ-Bench leaderboard1▇▇▇▇▇▇▇▇▇▇▇ 37%Apache-2.0
Open Portuguese LLM Leaderboard (archived)1▇▇▇▇ 14%Apache-2.0
prior · pull toward the middle▇ 3%
weighted average= 45.6

$ 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