metadata

base_model: JackFram/llama-160m
datasets:
  - wikipedia
inference: false
language:
  - en
license: other
model_creator: JackFram
model_name: llama-160m
pipeline_tag: text-generation
quantized_by: afrideva
tags:
  - gguf
  - ggml
  - quantized
  - q2_k
  - q3_k_m
  - q4_k_m
  - q5_k_m
  - q6_k
  - q8_0

JackFram/llama-160m-GGUF

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

Original Model Card:

Model description

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.

Citation

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}
}