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qwen-wolof-assistant – AI Model by conde621gmail | AlphaNeural AI

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conde621gmail/
qwen-wolof-assistant

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text-generation

Qwen/Qwen3-0.6B

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Wolof LoRA Adapter

This repository contains a LoRA adapter fine-tuned for a classroom demo on Wolof instruction following in Senegalese/African contexts.

Base Model

Qwen/Qwen3-0.6B

Intended Use

This adapter is designed for teaching:

instruction fine-tuning,
LoRA deployment,
local inference,
basic evaluation with Exact Match, F1, BLEU, ROUGE-L, and perplexity.

It is not a production Wolof assistant.

Loading Example

python

from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer

base_model = "Qwen/Qwen3-0.6B"
adapter_id = "YOUR_USERNAME/YOUR_REPO"

tokenizer = AutoTokenizer.from_pretrained(adapter_id, trust_remote_code=True)
base = AutoModelForCausalLM.from_pretrained(base_model, trust_remote_code=True)
model = PeftModel.from_pretrained(base, adapter_id)

Training Setup

LoRA rank: 16
LoRA alpha: 32
Target modules: attention and MLP projection layers
Dataset schema: instruction, input, output
Chat template rendered without hidden thinking traces when supported.

Limitations

The dataset is small and classroom-oriented. The model may repeat short Wolof phrases or fail outside the covered categories. Evaluate before reuse.