TaQuants/Tema_Q-X7-Thinking-TaQuants-GGUF overview
Tema Q X7 Thinking TaQuants The Repository https://github.com/ek15072809/TaQuants Technical Report https://github.com/ek15072809/TaQuants/blob/main/docs/TaQuan…
Runs locally from ~441.8 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| IQ2_M/Tema_Q-X7-Thinking-TaIQ2_M-split.gguf-00001-of-00007.gguf | GGUF | IQ2_M | 1.83 GB | Download |
| IQ2_M/Tema_Q-X7-Thinking-TaIQ2_M-split.gguf-00002-of-00007.gguf | GGUF | IQ2_M | 1.84 GB | Download |
| IQ2_M/Tema_Q-X7-Thinking-TaIQ2_M-split.gguf-00003-of-00007.gguf | GGUF | IQ2_M | 1.81 GB | Download |
| IQ2_M/Tema_Q-X7-Thinking-TaIQ2_M-split.gguf-00004-of-00007.gguf | GGUF | IQ2_M | 1.81 GB | Download |
| IQ2_M/Tema_Q-X7-Thinking-TaIQ2_M-split.gguf-00005-of-00007.gguf | GGUF | IQ2_M | 1.82 GB | Download |
| IQ2_M/Tema_Q-X7-Thinking-TaIQ2_M-split.gguf-00006-of-00007.gguf | GGUF | IQ2_M | 1.85 GB | Download |
| IQ2_M/Tema_Q-X7-Thinking-TaIQ2_M-split.gguf-00007-of-00007.gguf | GGUF | IQ2_M | 441.8 MB | Download |
Model Details
| Model ID | TaQuants/Tema_Q-X7-Thinking-TaQuants-GGUF |
|---|---|
| Author | TaQuants |
| Pipeline | text-generation |
| License | — |
| Base model | temaq-org/Tema_Q-X7-Thinking |
| Last modified | 2026-08-23T12:20:51.000Z |
Model README
---
base_model:
- temaq-org/Tema_Q-X7-Thinking
pipeline_tag: text-generation
tags:
- TaQuants
- uncensored
- non-censored
- unfiltered
---
Tema_Q-X7-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-X7-Thinking created with TaQuants v3.0.
When combined with the Tema_Q Agent, it performs agent functions.
We used This imatrix gguf for I1-Quants. Thanks.
While this does not significantly impact the execution of agent tools, there is a risk of model breakdown when generating more than 8k tokens. This is highly likely to be a characteristic specific to the model itself.
Run TaQuants/Tema_Q-X7-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