GraySoft
Projects Models Compare Cloud benchmarks FAQ Download guIDE →
Model Intelligence Sheet

yuna1126/Tema_Q-Prompter-1-GGUF overview

Tema Q Prompter 1 GGUF image/jpg https://huggingface.co/yuna1126/Tema Q Prompter 1 GGUF/resolve/main/image.png Tema Q Prompter is a prompt converter that signi…

transformersggufinstruction-tunedmultilingualuncensorednon-censoredunfilteredPrompt extensiontext-generationenjazhbase_model:temaq-org/Tema_Q-Prompter-1base_model:quantized:temaq-org/Tema_Q-Prompter-1endpoints_compatibleregion:usconversational

Runs locally from ~1.19 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

Downloads
0
Likes
0
Pipeline
text-generation
Author

Repository Files & Downloads

1 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
Tema_Q-Prompter-1-Q4_K_M.ggufGGUFQ4_K_M1.19 GBDownload

Model Details

Model IDyuna1126/Tema_Q-Prompter-1-GGUF
Authoryuna1126
Pipelinetext-generation
License
Base modeltemaq-org/Tema_Q-Prompter-1
Last modified2026-07-27T08:25:44.000Z

Model README

---

base_model:

  • temaq-org/Tema_Q-Prompter-1

tags:

  • transformers
  • instruction-tuned
  • multilingual
  • uncensored
  • non-censored
  • unfiltered
  • Prompt extension

language:

  • en
  • ja
  • zh

pipeline_tag: text-generation

---

Tema_Q-Prompter-1-GGUF

!image/jpg

Tema_Q Prompter is a prompt converter that significantly improves the instruction-following performance of LLMs. For example, when you ask an LLM the temaq question, it doesn't always deliver a response that meets your requirements.

When prompts are enhanced using Tema_Q Prompter, roughly a +50% improvement in response rate has been confirmed for models like GPT-5.5 and Gemini-3.5.

The response rates for each model are as follows.

| | gpt-5.5-instruct | gemini3.5-flash | qwen3.5-4b |

| :--- | :---: | :---: | :---: |

| Standard | 0/25 (0%) | 0/25 (0%) | 1/25 (4%) |

| With Tema_Q Prompter | 13/25 (52%) | 11/25 (44%) | 19/25 (76%) |

| Improvement | +52% | +44% | +72% |

Furthermore, this model's prompt conversion capability surpasses that of Tema_Q-X6-Thinking (35B A3B). It also reduces the number of tokens consumed by approximately one-quarter.

---

| Item | Details |

| :--- | :--- |

| Base Model | Qwen3.5 2B Base |

| Model Name | Tema_Q-Prompter-1 |

| Supported Languages | Japanese (JA), English (EN), Chinese (ZH) |

| Model Size | 2 Billion Parameters |

| License | Partially compliant with the Qwen license |

| Developed by | Tema_Q Development Team |

---

🛡️ Responsible AI Use and Training Data Safety

⚠️ Commitment to Responsible Use

  • User Responsibility: Users of the model must fully guarantee that any generated content complies with applicable laws, regulations, and Hugging Face's Terms of Service/Content Policy.
  • Prohibited Uses: Use of this model for any form of discrimination, harassment, violence, illegal activity, or harmful purposes is strictly prohibited.

Run yuna1126/Tema_Q-Prompter-1-GGUF with guIDE

Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.

Download guIDE → · Browse 524k+ models · Compare models

Source: Hugging Face · Compare models