turintech/ qwen3.5-2b-artemis:latest

22 5 hours ago

Text-only Qwen3.5 2B GGUF files. Default: q5_k_m. TurinTech models, built with Artemis.

tools thinking 
ollama run turintech/qwen3.5-2b-artemis

Details

5 hours ago

f4680b970783 · 1.4GB

model
qwen35
·
1.88B
·
Q5_K_M
license
Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR US
params
{ "presence_penalty": 1.5, "temperature": 1, "top_k": 20, "top_p": 0.95 }

Readme

Qwen3.5 2B Artemis

Text-only GGUF versions of Qwen3.5 2B. The vision encoder and multi-token prediction (MTP) layer are not included.

TurinTech models, built with Artemis

Ollama

ollama run turintech/qwen3.5-2b-artemis:q5_k_m

latest selects q5_k_m. The explicit tags below use the same model bytes as the corresponding Hugging Face files.

Tag Hugging Face file Size
q5_k_m (default) Qwen3.5-2B-Artemis-Q5_K_M.gguf 1.395 GB
q4_k_m Qwen3.5-2B-Artemis-Q4_K_M.gguf 1.280 GB

GB is download size, not runtime memory. Packages use Ollama’s Qwen3.5 renderer and tool parser, with temperature 1, top_k 20, top_p 0.95 and presence_penalty 1.5. The comparison benchmarks used llama.cpp with different sampling settings; these packages do not establish the same benchmark results in Ollama.

Measurements and limitations

In the RTX 5090 HumanEval+ check, Q5_K_M passed 73⁄164 tasks and Q4_K_M 70⁄164, versus 81⁄164 for BF16. Unsloth Q4_K_M also scored higher on the earlier MMLU-Pro sample. The selected CodeSearchNet calibration functions still need a per-repository licence inventory; no calibration source text is included.

Full measurements and test conditions.

Licence

Apache-2.0, as released by Qwen (licence). See LICENSE and NOTICE. This is an independent TurinTech conversion, not affiliated with or endorsed by Alibaba Cloud or the Qwen team.

These files keep improving.