TaQuants/Tema_Q-X6-Thinking-TaQuants-GGUF overview
Tema Q X6 Thinking TaQuants image/jpg https://huggingface.co/TaQuants/Tema Q X6 Thinking TaQuants GGUF/resolve/main/agent.png The Repository https://github.com…
Runs locally from ~12.81 GB disk (16 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Tema_Q-X6-Thinking-TaIQ2_M.gguf | GGUF | GGUF | 12.81 GB | Download |
Model Details
| Model ID | TaQuants/Tema_Q-X6-Thinking-TaQuants-GGUF |
|---|---|
| Author | TaQuants |
| Pipeline | text-generation |
| License | — |
| Base model | temaq-org/Tema_Q-X6-Thinking |
| Last modified | 2026-07-22T04:00:52.000Z |
Model README
---
base_model:
- temaq-org/Tema_Q-X6-Thinking
pipeline_tag: text-generation
tags:
- TaQuants
- uncensored
- non-censored
- unfiltered
---
Tema_Q-X6-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-X6-Thinking created with TaQuants v3.0.
When combined with the Tema_Q Agent, it performs agent functions. This TaQuants model maintains performance equivalent to 4 bits without collapsing.
Run TaQuants/Tema_Q-X6-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