MuchKnow-Foundation-8B 🏛️⚡

MuchKnow-Foundation-8B is a high-performance bilingual (Tanzanian Kiswahili 🇹🇿 + English 🇬🇧) enterprise base model fine-tuned on top of deepseek-ai/DeepSeek-R1-Distill-Llama-8B.

Developed for MuchKnow (muchknow.com) and copyrighted to BuruOps (buruops.com), this foundation model is engineered specifically for enterprise custom fine-tuning across domain applications including healthcare, fintech, legal tech, customer support, and software engineering.

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🏛️ Enterprise Foundation Features

1. Bilingual Instruction Baseline:
   • Deep alignment in English and Tanzanian Kiswahili across diverse multi-turn reasoning, instruction following, and structured formatting tasks.
2. Modular Fine-Tuning Readiness:
   • Ideal starting point for LoRA / QLoRA adapter training for proprietary enterprise client datasets.
3. High Efficiency & Throughput:
   • Optimized for Apple Silicon deployment (via MLX) and standard GPU inference containers (via vLLM / Ollama / Hugging Face Transformers).

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🚀 Quickstart Usage

Using mlx_lm (Apple Silicon Mac)

from mlx_lm import load, generate

model, tokenizer = load("Bur3hani/MuchKnow-Foundation-8B")

prompt = """Below is an instruction that describes a task. Write a response that appropriately completes the request.

### Instruction:
What is MuchKnow Foundation 8B and how does it serve enterprise custom tuning?

### Response:
"""

response = generate(model, tokenizer, prompt=prompt, max_tokens=512)
print(response)

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📜 Copyright & License

• Copyright: © 2026 BuruOps (buruops.com) & MuchKnow (muchknow.com). All Rights Reserved.
• Base Model License: Derived from DeepSeek-R1-Distill-Llama-8B.