Africa Giants Adapter v15
QLoRA fine-tune of McGill-NLP/AfriqueLlama-8B on Tanzanian business, tax, company registration, and financial regulation data. Base model: AfriqueLlama-8B (Llama 3.1 8B, 20 African languages incl. Swahili) Languages:...
Model source
- Kind
- Other
- File size
- 1.09–4.66 GB
- Base model
- McGill-NLP/AfriqueLlama-8B
- Version
- vRevision 57a31fd
- Updated
- Oct 9, 2026
- Downloads
- 0
- Source
- Hugging Face
Source description
Africa Giants — Chike Tanzanian Business AI (adapter-v15)
QLoRA fine-tune of McGill-NLP/AfriqueLlama-8B on Tanzanian business, tax, company registration, and financial regulation data. Base model: AfriqueLlama-8B (Llama 3.1 8B, 20 African languages incl. Swahili) Languages: Swahili (sw), English (en) Training: QLoRA r=128 on Tesla T4 single GPU Training pairs: batch_014 + batch_015 (550 hand-coded) dataset (train_sft.jsonl / val_sft.jsonl on prospAprospA007/africa-giants-dataset) Validation loss: 0.0970 Gate result: PASSED Started from: v14-lora at r=128 (warm-start fine-tune, 1 epoch, lr=2e-5) LoRA-only checkpoint: prospAprospA007/africa-giants-adapter-v15-lora
Sources
1 source
Sources
1 sourceVerified Oct 9
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4 artifactsmodel-00001-of-00004.safetensors
safetensors · 4.63 GB · SHA-256 7f3a128be2ff…5939 · Hugging Face
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Source excerpts
2 excerpts--- language: - sw - en license: llama3.1 base_model: McGill-NLP/AfriqueLlama-8B tags: - llama-3.1 - african-languages - swahili - tanzanian-business - qlora - unsloth - peft - lora pipeline_tag: text-generation datasets: - prospAprospA007/africa-giants-dataset --- # Africa Giants — Chike Tanzanian Business AI (adapter-v15) QLoRA fine-tune of [McGill-NLP/AfriqueLlama-8B](https://huggingface.co/McGill-NLP/AfriqueLlama-8B) on Tanzanian business, tax, company registration, and financial regulation data. **Base model:** AfriqueLlama-8B (Llama 3.1 8B, 20 African languages incl. Swahili) **Languages:** Swahili (sw), English (en) **Training:** QLoRA r=128 on Tesla T4 single GPU **Training pairs:** batch_014 + batch_015 (550 hand-coded) dataset (train_sft.jsonl / val_sft.jsonl on prospAprospA007/africa-giants-dataset) **Validation loss:** 0.0970 **Gate result:** PASSED **Started from:** v14-lora at r=128 (warm-start fine-tune, 1 epoch, lr=2e-5) **LoRA-only checkpoint:** prospAprospA007/africa-giants-adapter-v15-lora
Source context: 0 downloads · 1 likes · Pipeline text-generation · Library peft · Repo prospAprospA007/africa-giants-adapter-v15
