license, language, base_model, tags, pipeline_tag

license	language	base_model	tags	pipeline_tag
apache-2.0	en	LiquidAI/LFM2.5-1.2B-Instruct YoussefElsafi/PlayerAI-1.2B-v1.5	gguf quantized conversational llama-cpp	text-generation

PlayerAI-1.2B-v1.5-GGUF contains GGUF quantized versions of PlayerAI-1.2B-v1.5, 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.

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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

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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

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How to Use

With llama.cpp CLI

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

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

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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

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Example Interactions

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

Example 1 — Single Turn

Example 2 — Short Conversation

Example 3 — Extended Context Chain

Example 4 — Nonsense Interaction

Example 5 — Reverse psychology

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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.

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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

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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.

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Attribution (Optional)

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

"Powered by PlayerAI"

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License

Apache 2.0