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---
library_name: transformers
tags: []
---
# Jamba-Small v1
This is a pruned version of AI21 Labs' Jamba-v0.1 model that is ~25% the size of Jamba-v0.1.
## Model Details
Whereas Jamba-v0.1 contains 4 Jamba blocks, Jamba-Small contains only 1 Jamba block.
Jamba-Small's Jamba blocks follow the same structure seen in Jamba-v0.1, with a 1:7 ratio of attention-to-Mamba layers and MoE applied every 2 layers.
Jamba-Small's weights are initialized from various layers in the original Jamba-v0.1 model. For v1, the layer weights are mapped as follows (left is Jamba-Small layer number, right is Jamba-v0.1 layer number):
```
0: 0
1: 1
2: 2
3: 3
4: 4
5: 5
6: 30
7: 31
```
Note that no additional fine-tuning has been performed on this model. As such, its performance is exceptionally poor. This should not be used in production without additional training.
### Model Description
- **Developed by:** Nathan Brown (OxxoCodes)
- **Compute provided by [optional]:** Clemson Palmetto Cluster
- **Model type:** Joint Attention and Mamba (Jamba)
- **Language(s) (NLP):** English
- **License:** Apache 2.0
- **Original model:** [Jamba-v0.1](https://huggingface.co/ai21labs/Jamba-v0.1)
- **Jamba paper:** [https://arxiv.org/pdf/2403.19887.pdf](https://arxiv.org/pdf/2403.19887.pdf)
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