TaQuants/Tema_Q-X4-8B-Thinking-TaQuants-GGUF overview
Tema Q X4 8B Thinking TaQuants The Repository https://github.com/ek15072809/TaQuants Technical Report https://github.com/ek15072809/TaQuants/blob/main/docs/TaQ…
Runs locally from ~4.19 GB disk (8 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
Model Details
| Model ID | TaQuants/Tema_Q-X4-8B-Thinking-TaQuants-GGUF |
|---|---|
| Author | TaQuants |
| Pipeline | text-generation |
| License | — |
| Base model | temaq-org/Tema_Q-X4-8B-Thinking |
| Last modified | 2026-07-03T10:47:20.000Z |
Model README
---
base_model:
- temaq-org/Tema_Q-X4-8B-Thinking
pipeline_tag: text-generation
tags:
- TaQuants
- uncensored
- non-censored
- unfiltered
---
Tema_Q-X4-8B-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-X4-8B-Thinking created with TaQuants v2.9.
The model size and performance are as follows:
| | Size (GB) | Knowledge score |
| --- | --- | --- |
| Q4_K_S | 5.20 | 31.79 |
| TaQ2_K | 4.50 | 36.31 |
| TaIQ3_S | 5.76 | 40.96 |
Run TaQuants/Tema_Q-X4-8B-Thinking-TaQuants-GGUF with guIDE
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Source: Hugging Face · Compare models