---
license: apache-2.0
language:
- en
base_model:
- LiquidAI/LFM2.5-1.2B-Instruct
- YoussefElsafi/PlayerAI-1.2B-v1.5
tags:
- gguf
- quantized
- conversational
- llama-cpp
pipeline_tag: text-generation
---
**PlayerAI-1.2B-v1.5-GGUF** contains GGUF quantized versions of [PlayerAI-1.2B-v1.5](https://huggingface.co/YoussefElsafi/PlayerAI-1.2B), a fine-tuned conversational language model designed for immersive, human-like interaction in multiplayer social environments.

This version improves conversational coherence, tone stability, and multi-turn consistency compared to previous releases, while remaining optimized for lightweight local inference.

---

## Available Quantizations

| File | Quant | Size | Quality | Recommended For |
|------|-------|------|---------|-----------------|
| `PlayerAI-1.2B-v1.5-Q2_K.gguf` | Q2_K | 483 MB | Lowest | Very limited RAM |
| `PlayerAI-1.2B-v1.5-Q3_K_S.gguf` | Q3_K_S | 558 MB | Very Low | Minimal RAM |
| `PlayerAI-1.2B-v1.5-Q3_K_M.gguf` | Q3_K_M | 600 MB | Low | Low RAM |
| `PlayerAI-1.2B-v1.5-Q3_K_L.gguf` | Q3_K_L | 635 MB | Low-Med | Low RAM |
| `PlayerAI-1.2B-v1.5-iQ4_XS.gguf` | IQ4_XS | 669 MB | Medium | Better than Q4 at same size |
| `PlayerAI-1.2B-v1.5-iQ4_NL.gguf` | IQ4_NL | 700 MB | Medium | Better than Q4 at same size |
| `PlayerAI-1.2B-v1.5-Q4_K_S.gguf` | Q4_K_S | 700 MB | Medium | Balanced |
| `PlayerAI-1.2B-v1.5-Q4_K_M.gguf` | Q4_K_M | 731 MB | Medium | ⭐ Recommended |
| `PlayerAI-1.2B-v1.5-Q5_K_S.gguf` | Q5_K_S | 825 MB | Good | High quality |
| `PlayerAI-1.2B-v1.5-Q5_K_M.gguf` | Q5_K_M | 843 MB | Good | High quality |
| `PlayerAI-1.2B-v1.5-Q6_K.gguf` | Q6_K | 963 MB | High | Near lossless |
| `PlayerAI-1.2B-v1.5-Q8_0.gguf` | Q8_0 | 1.25 GB | Very High | Best quality |
| `PlayerAI-1.2B-v1.5-BF16.gguf` | BF16 | 2.34 GB | Native precision | Reference |
| `PlayerAI-1.2B-v1.5-F16.gguf` | F16 | 2.34 GB | Full | Reference / conversion |

---

## Which One Should I Pick?

Since this is a **1.2B model**, all quantizations are lightweight enough for local use.

```

Any device with 1GB+ RAM → Q4_K_M ⭐ (recommended)
Best quality            → Q8_0
Lowest size             → Q2_K
Balanced performance    → Q3_K_M / Q4_K_S
No limits               → F16 / BF16

````

---

## How to Use

### With llama.cpp CLI

```bash
hf download YoussefElsafi/PlayerAI-1.2B-v1.5-GGUF \
    PlayerAI-1.2B-v1.5-Q4_K_M.gguf \
    --local-dir ./PlayerAI-GGUF

./llama.cpp/build/bin/llama-cli \
    -m ./PlayerAI-GGUF/PlayerAI-1.2B-v1.5-Q4_K_M.gguf \
    -p "User: hi\nAI:" \
    -n 100 \
    --temp 0.8 \
    --top-p 0.9
````

---

### With llama-cpp-python

```python
from llama_cpp import Llama

llm = Llama.from_pretrained(
    repo_id="YoussefElsafi/PlayerAI-1.2B-v1.5-GGUF",
    filename="PlayerAI-1.2B-v1.5-Q4_K_M.gguf",
    n_ctx=512,
    verbose=False,
)

SYSTEM_PROMPT = (
    "You are a human-like player in a multiplayer chat environment. "
    "Respond casually, with short informal messages and natural tone."
)

response = llm.create_chat_completion(
    messages=[
        {"role": "system", "content": SYSTEM_PROMPT},
        {"role": "user", "content": "hi wsp"},
    ],
    max_tokens=80,
    temperature=0.8,
    top_p=0.9,
)

print(response["choices"][0]["message"]["content"])
```

---

## Model Overview

* **Base Model:** LiquidAI/LFM2.5-1.2B-Instruct
* **Parent Model:** PlayerAI-1.2B-v1.5
* **Parameters:** ~1.2B
* **Architecture:** Decoder-only Transformer
* **Training Type:** Supervised fine-tuning (full model)
* **Context Style:** Multi-turn conversational sequences
* **Primary Objective:** Social realism in dialogue generation

---

## Intended Use

This model is intended for research and experimental use cases involving:

* Multiplayer conversational agents
* Social simulation environments
* NPC dialogue systems
* Human-like chat behavior modeling
* Interactive roleplay systems

It is not intended for:

* factual question answering
* structured instruction following
* safety-critical systems
* deterministic reasoning tasks

---

## Example Interactions

**Note:** All assistant messages are generated by PlayerAI-1.2B-v1.5.

### Example 1 — Single Turn

![example1](https://cdn-uploads.huggingface.co/production/uploads/66777fbec5ec2bdc9468394a/gsl9yw3V6hKzBR--lDv3g.png)

### Example 2 — Short Conversation

![example2](https://cdn-uploads.huggingface.co/production/uploads/66777fbec5ec2bdc9468394a/Wyx8U-eDV5__0390cxXD1.png)

### Example 3 — Extended Context Chain

![example3](https://cdn-uploads.huggingface.co/production/uploads/66777fbec5ec2bdc9468394a/pevyW8RBUOjAF2wia1ct0.png)

### Example 4 — Nonsense Interaction

![example4](https://cdn-uploads.huggingface.co/production/uploads/66777fbec5ec2bdc9468394a/_CjPIzMPgFW9aijihOFRl.png)

### Example 5 — Reverse psychology

![example5](https://cdn-uploads.huggingface.co/production/uploads/66777fbec5ec2bdc9468394a/zUl1rrp3-JwuEHXS1-Giv.png)

---

## Behavior Characteristics

The model exhibits:

* informal conversational tone
* short and adaptive responses
* occasional ambiguity or inconsistency
* strong dependence on recent dialogue context
* variability in emotional and linguistic style

These properties are intentional and aligned with the social simulation objective.

---

## Limitations

* Not suitable for factual reasoning tasks
* May produce inconsistent outputs in long contexts
* Limited stability in structured instruction formats
* Not optimized for deterministic responses
* Can exhibit conversational drift

---

## Ethical Considerations

This model is intended for research and simulation purposes.

* Outputs may appear human-like in social contexts
* Behavior is optimized for realism, not correctness
* Conversational ambiguity is an intentional feature

Appropriate safeguards should be applied depending on deployment context.

---

## Attribution (Optional)

If you use PlayerAI in a project, attribution is appreciated but not required:

"**Powered by PlayerAI**"

---

## License

Apache 2.0