This repository contains a personal proof-of-concept (PoC) model created for experimentation and learning purposes. It was not released as a production-ready or fully validated model. Output quality, stability, and generalization performance may be limited.

Overview

Bungeo-8.7M is a small personal experimental language model shared mainly as a public artifact for research, tinkering, and implementation-level exploration.

Architecture

architectures: BungeoForCausalLM
model_type: bungeo
vocab_size: 4096
max_position_embeddings: 128
hidden_size: 384
num_hidden_layers: 6
num_attention_heads: 6
intermediate_size: 768

Load

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("drlee1/Bungeo-8.7M", trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained("drlee1/Bungeo-8.7M", trust_remote_code=True, use_fast=False)

Intended Use

Personal experimentation
Educational inspection
Proof-of-concept validation

Limitations

Not benchmarked thoroughly
Not production-ready
Output quality may be inconsistent
Not fully validated for safety, robustness, or real-world deployment

Inspiration

This project was inspired by guppylm

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Safetensors

Model size

8.73M params

Tensor type

BF16