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Model: Flexan/HumanPet-X2.2-1.7B-GGUF Source: Original Platform
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---
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license: cc-by-sa-4.0
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datasets:
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- ConvLab/dailydialog
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language:
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- en
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base_model: Flexan/HumanPet-X2.2-1.7B
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pipeline_tag: text-generation
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---
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# GGUF Files for HumanPet-X2.2-1.7B
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These are the GGUF files for [Flexan/HumanPet-X2.2-1.7B](https://huggingface.co/Flexan/HumanPet-X2.2-1.7B).
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> [!NOTE]
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> **Note:** this model has only been quantized to **Q2_K**, **Q4_K_M**, and **Q8_0**. Other quantizations may become available later.
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## Downloads
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| GGUF Link | Quantization | Description |
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| ---- | ----- | ----------- |
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| [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 |
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| [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 |
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| [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 |
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| [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 |
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# HumanPet X2.2 1.7B
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## Description
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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).
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The model was LoRA fine-tuned with [Qwen/Qwen3-1.7B](https://huggingface.co/Qwen/Qwen3-1.7B) as base model.
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The HumanPet series is part of an experiment. Do not expect consistent releases.
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[Explanation of the experiment](https://huggingface.co/Flexan/HumanPet)
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[Progress on the experiment](https://huggingface.co/Flexan/HumanPet#progress)
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[Findings for HumanPet X2.2 1.7B](https://huggingface.co/Flexan/HumanPet#humanpet-x22-17b)
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> [!NOTE]
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> **Note:** the model files are **not released yet.** [Read section 'Stages' in the experiment explanation.](https://huggingface.co/Flexan/HumanPet#stages)
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> [!NOTE]
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> **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)
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## Chat Format
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HumanPet X2.2 1.7B uses the ChatML format, e.g.:
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```text
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<|im_start|>system
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System message<|im_end|>
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<|im_start|>user
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User prompt<|im_end|>
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<|im_start|>assistant
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Assistant response<|im_end|>
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```
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## Usage
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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).
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The assistant response has the following format:
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```text
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<|im_start|>assistant
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<think>
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</think>
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What happened?
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<emote>:^</emote><|im_end|>
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```
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Note that the `<think>...</think>` tags are always empty, as this model was not trained on reasoning data.
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The `<emote>...</emote>` tags contain a text emoji that the model thinks fits most with the response. The emojis it may output are:
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```txt
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0^0
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u~u
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u.u
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:^
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:3
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x3
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0w0
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u-u
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:P
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>.<
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>-<
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owo
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U.U
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:]
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^-^
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>:3
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:0
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:O
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0~0
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o^o
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O^O
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@~@
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@.@
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o~o
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T^T
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>~<
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>.0
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o.o
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>^<
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0.0
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0-0
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-w-
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-.-
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T-T
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T.T
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T~T
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:<
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u^u
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```
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Note that the emojis are escaped because of the XML tags (e.g. ">.<" is outputted by the model as "&gt;.&lt;"). If the model does not adhere to the list of emojis, please let us know in the community tab.
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## Datasets
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1. **[ConvLab/dailydialog](https://huggingface.co/datasets/ConvLab/dailydialog)** *4.3k chats*
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Only the conversations from the "Relationship" domain have been used.
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- **Private NLP processing**
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NLP processing has been applied to the text to modify the dataset to be sillier.
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