Banaxi-Tech/BananaMind-v1

🍌 BananaMind V1

⚠️ Honest disclaimer: This model is not very good. It's a small experimental model trained as a personal project. Manage your expectations accordingly.

BananaMind V1 is a 125M parameter causal language model fine-tuned on conversational data. It is uploaded in GGUF format for use with llama.cpp and compatible runtimes.

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Model Details

Property	Value
Model Name	BananaMind V1
Parameters	125M
Context Length	512 tokens
Format	GGUF
License	Apache 2.0
Language	English

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Training Data

Dataset	License
OpenAssistant/oasst1	Apache 2.0

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Intended Use

• Experimenting with small language models
• Local inference on CPU via llama.cpp
• Educational / research purposes
• Tinkering and testing

Not intended for: Production use, safety-critical applications, or anything requiring reliable or accurate outputs.

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How to Use

With llama.cpp

./llama-cli -m BananaMind-V1.gguf \
  -p "User: Hello! How are you?\nAssistant:" \
  -n 128 \
  --ctx-size 512

With Python (via llama-cpp-python)

from llama_cpp import Llama

llm = Llama(
    model_path="BananaMind-V1.gguf",
    n_ctx=512,
)

output = llm(
    "User: What is the capital of France?\nAssistant:",
    max_tokens=128,
    stop=["User:"],
)

print(output["choices"][0]["text"])

With Ollama

ollama run banaxitech/bananamind-v1
``


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## Limitations & Known Issues

- **Small capacity:** 125M parameters is quite limited — don't expect GPT-4 quality.
- **Short context:** 512 token context window means it forgets things quickly.
- **Hallucinations:** Will confidently make things up.
- **Inconsistency:** Outputs can vary wildly between runs.
- **Generally not very good** — as stated upfront. Consider this a starting point, not a destination.

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## Evaluation

No formal benchmarks were run. Informal testing suggests the model can hold basic conversations but struggles with anything requiring reasoning, factual recall, or multi-turn coherence.

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## License

This model is released under the **Apache 2.0** license, consistent with its training data. See [LICENSE](https://www.apache.org/licenses/LICENSE-2.0) for details.

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## Citation

If you somehow use this model in research (why?), you can cite it informally as:

BananaMind V1 (2024). A small 125M parameter GGUF language model. Personal project.

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*Made with 🍌 and questionable judgment.*