Tema Q X4 4B Thinking is an open-source language model by temaq-org. Features: 4b LLM, VRAM: 10.2GB, Instruction-Based, LLM Explorer Score: 0.24.
Base model:finetune:google/gem... Base model:google/gemma-4-e2b-... Conversational En Gemma Gemma4 Instruct Instruction-tuned Ja Multilingual Non-censored Region:us Safetensors Sharded Tensorflow Uncensored Unfiltered
Model Card on HF 🤗: https://huggingface.co/temaq-org/Tema_Q-X4-4B-Thinking
Tema Q X4 4B Thinking Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Tema Q X4 4B Thinking Parameters and Internals
| LLM Name | Tema Q X4 4B Thinking |
| Repository 🤗 | https://huggingface.co/temaq-org/Tema_Q-X4-4B-Thinking |
| Base Model(s) | |
| Model Size | 4b |
| Required VRAM | 10.2 GB |
| Updated | 2026-05-27 |
| Maintainer | temaq-org |
| Model Type | gemma4 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | ja en |
| Model Architecture | Gemma4ForConditionalGeneration |
| Transformers Version | 5.5.0.dev0 |
| Tokenizer Class | GemmaTokenizer |
| Padding Token | <pad> |
Rank the Tema Q X4 4B Thinking Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a