|
--- |
|
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 | 😃 | |
|
|
|
|
