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license: apache-2.0 |
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language: |
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- en |
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## StripedHyena-Nous-7B (SH-N 7B) |
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<p align="center"> |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/62a1306bbe7fa896d2c8de44/Bfjh77emDsWOY-VmfvU9C.png" width="60%" /> |
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</p> |
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### About |
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One of the focus areas at Together Research is new architectures for long context, improved training, and inference performance over the Transformer architecture. Spinning out of a research program from our team and academic collaborators, with roots in **signal processing-inspired sequence models**, we are excited to introduce the **StripedHyena** models. StripedHyena is the **first alternative model competitive with the best open-source Transformers** of similar sizes in short and long-context evaluations. |
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**StripedHyena-Nous-7B (SH-N 7B)** is our **chat model** for this release, and was developed with our collaborators at [Nous Research](https://nousresearch.com/). |
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- Read more here in [our blog](https://www.together.ai/blog/stripedhyena-7b). |
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- Play with the model on our [playground](https://api.together.xyz/playground/chat/togethercomputer/StripedHyena-Nous-7B)! |
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- Dive into the details of our [standalone implementation](https://github.com/togethercomputer/stripedhyena), and our related research: [1](https://arxiv.org/abs/2302.10866), [2](https://arxiv.org/abs/2310.18780), [3](https://arxiv.org/abs/2311.05908). |
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### Model Architecture |
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StripedHyena is a hybrid architecture composed of multi-head, grouped-query attention and gated convolutions arranged in [Hyena](https://arxiv.org/abs/2302.10866) blocks, different from traditional decoder-only Transformers. |
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- Costant memory decoding in Hyena blocks via representation of convolutions as state-space models (modal or canonical form), or as truncated filters. |
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- Low latency, faster decoding and higher throughput than Transformers. |
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- Improvement to training and inference-optimal scaling laws, compared to optimized Transformer architectures such as Llama-2. |
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- Trained on sequences of up to 32k, allowing it to process longer prompts. |
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### Prompt Format |
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StripedHyena-Nous 7B uses this prompt format: |
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``` |
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### Instruction:\n{prompt}\n\n### Response:\n{response} |
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``` |
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### Disclaimer |
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To use StripedHyena outside of the playground, you will need to install custom kernels. Please follow the instructions from the [standalone repository](https://github.com/togethercomputer/stripedhyena). |
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StripedHyena is a mixed precision model. Make sure to keep your `poles` and `residues` in `float32` precision, especially for longer prompts or training. |
