TaQuants/Tema_Q-X4-Thinking-TaQuants-GGUF overview
Tema Q X4 Thinking TaQuants The Repository https://github.com/ek15072809/TaQuants Technical Report https://github.com/ek15072809/TaQuants/blob/main/docs/TaQuan…
Runs locally from ~10.30 GB disk (12 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
Model Details
| Model ID | TaQuants/Tema_Q-X4-Thinking-TaQuants-GGUF |
|---|---|
| Author | TaQuants |
| Pipeline | text-generation |
| License | — |
| Base model | temaq-org/Tema_Q-X4-Thinking |
| Last modified | 2026-07-03T10:48:24.000Z |
Model README
---
base_model:
- temaq-org/Tema_Q-X4-Thinking
pipeline_tag: text-generation
tags:
- TaQuants
- uncensored
- non-censored
- unfiltered
---
Tema_Q-X4-Thinking TaQuants
The Tema_Q development team, team zenei, has developed a new importance matrix method called TaQuants (Tensor-aware Adaptive Quantization).
This model is a TaQuants version of temaq-org/Tema_Q-X4-Thinking created with TaQuants v2.8.
The model size and performance are as follows:
| | Size (GB) | Knowledge score |
| --- | --- | --- |
| IQ2_M | 10.40 | 41.10 |
| TaIQ2_M | 11.10 | 45.62 |
| IQ3_S | 12.20 | 50.14 |
| TaIQ3_S | 12.60 | 50.23 |
Run TaQuants/Tema_Q-X4-Thinking-TaQuants-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models