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Model: Flexan/HumanPet-X2.2-1.7B-GGUF
Source: Original Platform

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README.md

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+---
+license: cc-by-sa-4.0
+datasets:
+- ConvLab/dailydialog
+language:
+- en
+base_model: Flexan/HumanPet-X2.2-1.7B
+pipeline_tag: text-generation
+---
+
+# GGUF Files for HumanPet-X2.2-1.7B
+
+These are the GGUF files for [Flexan/HumanPet-X2.2-1.7B](https://huggingface.co/Flexan/HumanPet-X2.2-1.7B).
+
+> [!NOTE]  
+> **Note:** this model has only been quantized to **Q2_K**, **Q4_K_M**, and **Q8_0**. Other quantizations may become available later.
+
+## Downloads
+
+| GGUF Link | Quantization | Description |
+| ---- | ----- | ----------- |
+| [Download](https://huggingface.co/Flexan/Flexan-HumanPet-X2.2-1.7B-GGUF/resolve/main/HumanPet-X2.2-1.7B.Q2_K.gguf) | Q2_K | Lowest quality |
+| [Download](https://huggingface.co/Flexan/Flexan-HumanPet-X2.2-1.7B-GGUF/resolve/main/HumanPet-X2.2-1.7B.Q4_K_M.gguf) | Q4_K_M | **Recommended:** Perfect mix of speed and performance |
+| [Download](https://huggingface.co/Flexan/Flexan-HumanPet-X2.2-1.7B-GGUF/resolve/main/HumanPet-X2.2-1.7B.Q8_0.gguf) | Q8_0 | Best quality |
+| [Download](https://huggingface.co/Flexan/Flexan-HumanPet-X2.2-1.7B-GGUF/resolve/main/HumanPet-X2.2-1.7B.f16.gguf) | f16 | Full precision, don't bother; use a quant |
+
+# HumanPet X2.2 1.7B
+
+## Description
+
+HumanPet X2.2 1.7B is an instruct LLM consisting of 1.7B parameters trained to talk in a human conversational manner. It does not support reasoning nor tool-calling (although the base model does).  
+The model was LoRA fine-tuned with [Qwen/Qwen3-1.7B](https://huggingface.co/Qwen/Qwen3-1.7B) as base model.
+
+The HumanPet series is part of an experiment. Do not expect consistent releases.
+
+[Explanation of the experiment](https://huggingface.co/Flexan/HumanPet)  
+[Progress on the experiment](https://huggingface.co/Flexan/HumanPet#progress)  
+[Findings for HumanPet X2.2 1.7B](https://huggingface.co/Flexan/HumanPet#humanpet-x22-17b)
+
+> [!NOTE]  
+> **Note:** the model files are **not released yet.** [Read section 'Stages' in the experiment explanation.](https://huggingface.co/Flexan/HumanPet#stages)
+
+> [!NOTE]  
+> **Note:** this model is a **re-train** of the previous model. Read why the model was re-trained here: [Findings for HumanPet X2.1 1.7B](https://huggingface.co/Flexan/HumanPet#humanpet-x21-17b)
+
+## Chat Format
+
+HumanPet X2.2 1.7B uses the ChatML format, e.g.:
+```text
+<|im_start|>system
+System message<|im_end|>
+<|im_start|>user
+User prompt<|im_end|>
+<|im_start|>assistant
+Assistant response<|im_end|>
+```
+
+## Usage
+
+This model is not trained on system prompts. Therefore, it is recommended to not send any system messages. This includes tools (which this model also was not trained on).
+
+The assistant response has the following format:
+```text
+<|im_start|>assistant
+<think>
+
+</think>
+
+What happened?
+
+<emote>:^</emote><|im_end|>
+```
+
+Note that the `<think>...</think>` tags are always empty, as this model was not trained on reasoning data.
+The `<emote>...</emote>` tags contain a text emoji that the model thinks fits most with the response. The emojis it may output are:
+```txt
+0^0
+u~u
+u.u
+:^
+:3
+x3
+0w0
+u-u
+:P
+>.<
+>-<
+owo
+U.U
+:]
+^-^
+>:3
+:0
+:O
+0~0
+o^o
+O^O
+@~@
+@.@
+o~o
+T^T
+>~<
+>.0
+o.o
+>^<
+0.0
+0-0
+-w-
+-.-
+T-T
+T.T
+T~T
+:<
+u^u
+```
+
+Note that the emojis are escaped because of the XML tags (e.g. ">.<" is outputted by the model as "&amp;gt;.&amp;lt;"). If the model does not adhere to the list of emojis, please let us know in the community tab.
+
+## Datasets
+
+1. **[ConvLab/dailydialog](https://huggingface.co/datasets/ConvLab/dailydialog)** *4.3k chats*  
+   Only the conversations from the "Relationship" domain have been used.
+   - **Private NLP processing**  
+     NLP processing has been applied to the text to modify the dataset to be sillier.