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---
license: apache-2.0
datasets:
- anon8231489123/ShareGPT_Vicuna_unfiltered
language:
- en
pipeline_tag: text-generation
---
## Model description
This is a Vicuna-like model with only 160M parameters, which is fine-tuned from [LLaMA-160m](https://huggingface.co/JackFram/llama-160m) on [ShareGPT](https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered) data.
The training setup follows the [Vicuna suite](https://github.com/lm-sys/FastChat).
The model is mainly developed as a base Small Speculative Model in [MCSD paper](https://arxiv.org/pdf/2401.06706.pdf). As a comparison, it can be better aligned to the Vicuna models than LLaMA-160m with little loss of alignment to the LLaMA models.
| Draft Model | Target Model | Alignment |
| -------------- | ------------- | --------- |
| LLaMA-68/160M | LLaMA-13/33B | 😃 |
| LLaMA-68/160M | Vicuna-13/33B | 😟 |
| Vicuna-68/160M | LLaMA-13/33B | 😃 |
| Vicuna-68/160M | Vicuna-13/33B | 😃 |
|