temaq-org/Tema_Q-X4-Thinking-TaQuants-GGUF overview
Tema Q X4 Thinking TaQuants The Tema Q development team, zenei, and two other individuals have created a new importance matrix method called TaQuants. This mod…
Runs locally from ~10.30 GB disk (12 GB VRAM class GPUs with llama.cpp / guIDE).
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Model Details
| Model ID | temaq-org/Tema_Q-X4-Thinking-TaQuants-GGUF |
|---|---|
| Author | temaq-org |
| Pipeline | text-generation |
| License | — |
| Base model | temaq-org/Tema_Q-X4-Thinking |
| Last modified | 2026-06-08T06:06:32.000Z |
Model README
---
base_model:
- temaq-org/Tema_Q-X4-Thinking
pipeline_tag: text-generation
tags:
- TaQuants
---
Tema_Q-X4-Thinking TaQuants
The Tema_Q development team, zenei, and two other individuals have created a new importance matrix method called TaQuants.
This model is the TaQuants version of Tema_Q-X4-Thinking created with TaQuants v2.8.
Inference while maintaining quality is possible with TaIQ2_M and TaIQ3_S. For inference using 10GB GGUF, we recorded a higher knowledge score than the existing importance matrix method. Both models have greatly improved the problems that occur with the existing IQ3_M, such as unnatural language conversion in the code.
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