base_model, language, library_name, pipeline_tag, quantized_by, tags

base_model	language	library_name	pipeline_tag	quantized_by	tags
CraneAILabs/swahili-gemma-1b	en	transformers	text-generation	ThijsL202	gguf quantized llama-cpp

CraneAILabs_swahili-gemma-1b - GGUF Standard

📊 Quantization Details

• Base Model: CraneAILabs/swahili-gemma-1b
• Quantization: Standard
• Total Size: 4.03 GB (5 files)

📦 Standard Quantizations Classic GGUF quantizations without importance matrix enhancement.

📁 Available Files

Quantization	Size	Download
Q2_K	690MB	⬇️
Q3_K_L	752MB	⬇️
Q4_K_M	806MB	⬇️
Q6_K	1.0GB	⬇️
Q8_0	1.1GB	⬇️

🚀 Quick Start

llama.cpp

./llama-cli -m CraneAILabs_swahili-gemma-1b.Q6_K.gguf -p "Your prompt here" -n 512

Python

from llama_cpp import Llama

llm = Llama(model_path="./CraneAILabs_swahili-gemma-1b.Q6_K.gguf", n_ctx=2048)
output = llm("Your prompt here", max_tokens=512)
print(output["choices"][0]["text"])

📊 Model Information

Original model: CraneAILabs/swahili-gemma-1b

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Quantized using llama.cpp