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Model Details
Model Provider
k0ns0l
Model Tree
Base
mistralai/Mixtral-8x7B-Instruct-v0.1
Adapter
this model
Input Modalities
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Output Modalities
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Supported Functionality
Dedicated Endpoints
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An experimental research artifact exploring whether autonomous AI research systems can efficiently adapt large language models for low-resource African languages.
Despite 100M+ speakers, Hausa is severely underrepresented in language models. This adapter was produced by AutoScientist handling the entire pipeline: dataset selection (Dialectra Hausa Speech Corpus), preprocessing, training config, and execution.
Key point: This demonstrates AI-assisted language tech development for underrepresented communities.
python
from transformers import AutoTokenizer, AutoModelForCausalLMfrom peft import PeftModelimport torchbase_model = AutoModelForCausalLM.from_pretrained("mistralai/Mixtral-8x7B-Instruct-v0.1",load_in_4bit=True,device_map="auto")tokenizer = AutoTokenizer.from_pretrained("mistralai/Mixtral-8x7B-Instruct-v0.1")model = PeftModel.from_pretrained(base_model, "k0ns0l/mixtral-8x7b-hausa-lora-v1")# Generateprompt = "Yaya kake?"inputs = tokenizer(prompt, return_tensors="pt").to("cuda")outputs = model.generate(**inputs, max_new_tokens=200, temperature=0.7)print(tokenizer.decode(outputs[0], skip_special_tokens=True))
Hardware: 24GB+ GPU (4-bit quantization) or 80GB (full precision)
Generated by AutoScientist:
Why Mixtral: MoE efficiency, 32k context, multilingual foundation, instruction-following
⚠️ Experimental - qualitative testing shows good Hausa generation, but comprehensive benchmarking incomplete.
Limitations:
Use responsibly: Validate outputs with native speakers, don't use for high-stakes decisions without oversight.
AutoScientist by AdaptionLabs automates ML research workflows—from experiment design to execution. Reported 35% improvement over human-configured pipelines.
This project demonstrates autonomous research for low-resource language adaptation.
bibtex
@misc{k0ns0l2026mixtral-hausa,author = {k0ns0l},title = {Mixtral-8x7B Hausa LoRA v1: AutoScientist-Generated Adapter},year = {2026},publisher = {Hugging Face},howpublished = {\url{https://huggingface.co/k0ns0l/mixtral-8x7b-hausa-lora-v1}}}
Contact: @k0ns0l | License: Apache 2.0 | Contributions welcome
Research artifact exploring autonomous AI for underrepresented language technology.