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afrideva/llama-160m-GGUF
llama-160m-GGUF is a text generation model from afrideva. Use it when you need the model to write or continue text. The card lists the license as other.
Quantized GGUF model files for llama-160m from JackFram
Downloads · 30 days
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9% of all-time downloads
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.gguf1 GB · 100%
From the Hugging Face model README
Quantized GGUF model files for llama-160m from JackFram
| Name | Quant method | Size |
|---|---|---|
| llama-160m.fp16.gguf | fp16 | 326.58 MB |
| llama-160m.q2_k.gguf | q2_k | 77.23 MB |
| llama-160m.q3_k_m.gguf | q3_k_m | 87.54 MB |
| llama-160m.q4_k_m.gguf | q4_k_m | 104.03 MB |
| llama-160m.q5_k_m.gguf | q5_k_m | 119.04 MB |
| llama-160m.q6_k.gguf | q6_k | 135.00 MB |
| llama-160m.q8_0.gguf | q8_0 | 174.33 MB |
This is a LLaMA-like model with only 160M parameters trained on Wikipedia and part of the C4-en and C4-realnewslike datasets.
No evaluation has been conducted yet, so use it with care.
The model is mainly developed as a base Small Speculative Model in the SpecInfer paper.
To cite the model, please use
@misc{miao2023specinfer,
title={SpecInfer: Accelerating Generative LLM Serving with Speculative Inference and Token Tree Verification},
author={Xupeng Miao and Gabriele Oliaro and Zhihao Zhang and Xinhao Cheng and Zeyu Wang and Rae Ying Yee Wong and Zhuoming Chen and Daiyaan Arfeen and Reyna Abhyankar and Zhihao Jia},
year={2023},
eprint={2305.09781},
archivePrefix={arXiv},
primaryClass={cs.CL}
}