---
license: cc-by-sa-4.0
datasets:
- ConvLab/dailydialog
language:
- en
pipeline_tag: text-generation
---
# HumanPet Experiment

## Goal

The goal that we hope to achieve with the HumanPet series is an LLM that can talk more human-like and can express itself via visual emotions.
The name HumanPet was chosen with this goal in mind (**Human** = it talks more human-like, **Pet** = it can display emotions like a virtual pet).

However, we're also wanting to apply a certain personality to HumanPet. The personality can be described as happy and energetic.

## Stages

We'll release multiple HumanPet models:

| Stage | Name | Purpose | Approach | Hallucinations | Note | Time |
| ----- | ---- | ------- | -------- | -------------- | ---- | ---- |
| 1 | HumanPet X1 1.7B | Less robotic, classify emotion and intent | **Existing dataset** | Apparent | No effort. | Now |
| 2 | HumanPet X2 1.7B | Less robotic, limited visual emotion, start of a personality | Stage 1 + **NLP** | Apparent | Close to no effort, just configuring. | March 2026 |
| 3 | HumanPet Translator Semi 1.7B | Rewrite boring text to silly text with some visual emotion | Stage 2 + **generated professional text for translation input** | Reduced | A little effort. We use a professional LLM to rewrite silly sentences back to professional texts. This makes sure the model will learn how to rewrite sentences, not just change the words (like NLP does now). *It is not sure if this stage will be made. We might use another method.* | March-April 2026 |
| 4 | HumanPet X3 1.7B | Less robotic, full visual emotion, full personality | Stage 2 + **auto-translated datasets (stage 3) / manual rewriting** | Reduced | Auto-translated datasets: A little effort, using stage 3 to translate an existing dataset into simple silly texts. Manual rewriting: Big effort, will take a long time. We remove some of the hallucination by ommitting information that isn't in the context. | 2026 |
| 5 | HumanPet Translator 1.7B | Rewrite boring text to accurate silly text with full visual emotion | Stage 4 | Reduced | No effort, we just reuse the dataset from stage 4. See below for explanation on the translator. *It is not sure if this stage will be made. We might use another method.* | 2026 - early 2027 |
| 6 | HumanPet Instruct 1.7B | Less robotic, full visual emotion, full personality | Stage 4 + **manual/generative instruction writing** | Minimal | Medium effort. The final model, which is hopefully one that fulfills our goal. Instructions (via system prompt) will either be written by us, by the translator, or both. *It is not sure if this stage will be made. We might use another method. It all depends on the results of stage 4.* | 2027 |
| 7 | HumanPet Tool 1.7B | Less robotic, full visual emotion, full personality, tools | Stage 6 + **translated tool datasets (stage 5)** | Minimal | Low effort. Use the translator (stage 5) to create a silly tool dataset. *It is not sure if this stage will be made. It all depends on the results of stage 5 and 6.* | 2027 |
| 8 | HumanPet2 Instruct *???* B | Less robotic, full visual emotion, full personality | Stage 6 + **other datasets translated (stage 5)** | Close to none | Low effort. The final model (stage 6) reinforced with datasets that contain less hallucination, translated with the translator (stage 5). *It is not sure if this stage will be made. We might use another method. It all depends on the results of stage 5 and 6.* | 2027 - early 2028 |

Unfortunately, this project **has come to an end**. Note that **all stages are experimental.** Stage 1, 2 and 3 are done, but all the other stages **will most likely never complete.**
The **"X1"/"X2"/etc.** stands for **"experimental model stage 1"/"experimental model stage 2"** etc.

Because this is the end of the HumanPet experiment, we're releasing all model files soon.

The reason why we wanted to include a translator at stage 3 and 5 mainly has to do with being able to turn other datasets into silly ones. This means that we could've used tool, chain-of-thought or other instruct datasets while keeping the personality in tact.

The roadmap was:

| Stage | Name | Time |
| ----- | ---- | ---- |
| 1 | HumanPet X1 1.7B | Now |
| 2 | HumanPet X2 1.7B | March 2026 |
| 3 | HumanPet Translator Semi 1.7B | March-April 2026 |
| 4 | HumanPet X3 1.7B *(canceled)* | 2026 |
| 6 | HumanPet Instruct 1.7B *(canceled)* | 2027 |

## Progress

Progress per asset:

| Type | Asset | Status |
| ---- | ----- | ------ |
| Dataset | HumanPet X1 4.3k | 🟢 Done |
| Model | HumanPet X1 1.7B | 🟢 Done |
| Dataset | HumanPet X2 4.3k | 🟢 Done |
| Model | HumanPet X2 1.7B | 🔴 Done, mistakes found |
| Dataset | Re-train: HumanPet X2.1 4.3k | 🟢 Done |
| Model | Re-train: HumanPet X2.1 1.7B | 🔴 Done, mistakes found |
| Dataset | Re-train: HumanPet X2.2 4.3k | 🟢 Done |
| Model | Re-train: HumanPet X2.2 1.7B | 🟢 Done |
| Dataset | HumanPet Translator Semi 4.3k | 🟢 Done |
| Model | HumanPet Translator Semi 1.7B | 🔴 Done, mistakes found |
| Dataset | HumanPet X3 *???* k | 🔴 Canceled |
| Model | HumanPet X3 1.7B | 🔴 Canceled |
| Dataset | HumanPet Translator *???* k | 🔴 Canceled |
| Model | HumanPet Translator 1.7B | 🔴 Canceled |
| Dataset | HumanPet Instruct *???* k | 🔴 Canceled |
| Model | HumanPet Instruct 1.7B | 🔴 Canceled |
| Dataset | HumanPet Tool *???* k | 🔴 Canceled |
| Model | HumanPet Tool 1.7B | 🔴 Canceled |
| Dataset | HumanPet2 Instruct *???* k | 🔴 Canceled |
| Model | HumanPet2 Instruct *???* B | 🔴 Canceled |

*(31% done.)*

## Findings

### HumanPet X1 1.7B

- Very human tone and preferences
- Some work-related/formal situations
- Some IRL hallucinations (as if talking to them in real life)

### HumanPet X2 1.7B

- "That's what he told me" got changed to "That's what muehehe told me" in NLP because of any combination of "hehe" (including just "he") converting to "muehehe"

### HumanPet X2.1 1.7B

- "Hi, John!" got changed to "Hiyar!! John!" in NLP, should be "Hiyar, John!!"

### HumanPet X2.2 1.7B

- Uses `<think>...</think>` tags incorrectly (probably not enough epochs / params)
- Hallucinates emote tag usage and other non-existent tags (probably not enough epochs / params)
- "OK" got changed to "OKI" in NLP because "OK" is fully capital and thus NLP also converts it to full capital, should be "Oki"
- "It's" got changed to "It 's" in NLP
- Strong bias towards being female/transgender

### HumanPet Translator Semi 1.7B

- Still uses formal wording sometimes
- Not super accurate