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ReallyFloppyPenguin/Jan-nano-GGUF
Jan-nano-GGUF is a machine learning model from ReallyFloppyPenguin. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for gguf. The card lists the license as apache-2.0.
This repository contains GGUF quantizations of Menlo/Jan-nano.
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From the Hugging Face model README
This repository contains GGUF quantizations of Menlo/Jan-nano.
GGUF is a quantization method that allows you to run large language models on consumer hardware by reducing the precision of the model weights.
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| model-f16.gguf | f16 | Large | Original precision |
| model-q4_0.gguf | Q4_0 | Small | 4-bit quantization |
| model-q4_1.gguf | Q4_1 | Small | 4-bit quantization (higher quality) |
| model-q5_0.gguf | Q5_0 | Medium | 5-bit quantization |
| model-q5_1.gguf | Q5_1 | Medium | 5-bit quantization (higher quality) |
| model-q8_0.gguf | Q8_0 | Large | 8-bit quantization |
You can use these models with llama.cpp or any other GGUF-compatible inference engine.
./llama-cli -m model-q4_0.gguf -p "Your prompt here"
from llama_cpp import Llama
llm = Llama(model_path="model-q4_0.gguf")
output = llm("Your prompt here", max_tokens=512)
print(output['choices'][0]['text'])
This is a quantized version of Menlo/Jan-nano. Please refer to the original model card for more information about the model's capabilities, training data, and usage guidelines.
This model inherits the license from the original model. Please check the original model's license for usage terms.