abacusai / Giraffe-v2-70b-32k

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Total runs: 125
24-hour runs: 0
7-day runs: 24
30-day runs: 35
Model's Last Updated: January 17 2024
text-generation

Introduction of Giraffe-v2-70b-32k

Model Details of Giraffe-v2-70b-32k

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Model Details
Model Description

We have followed up on our previous training runs related to extending the context length of Llama models. The associated github repository

https://github.com/abacusai/long-context

has some basic details on our approach and metrics. We have also published a paper on arXiv that covers our experiments and analysis a lot more comprehensively.

http://arxiv.org/abs/2308.10882

Usage

To use this model at longer lengths the model needs to be patched to interpolate the longer context lengths. It will not work if it is simply loaded with the AutoModel framework of transformers . For full details and usage see:

https://github.com/abacusai/Long-Context

The evaluation section has detailed code for how to load and patch the model for inference (or further fine-tuning). Note in particular the max_position_embeddings is not relevant since the patched module dynamically reallocates the position buffers as required.

The tokenizer corresponding to this model is https://huggingface.co/abacusai/Giraffe-v1-Tokenizer .

Using the code in the repository you can load this model with the following code:

from models import load_model, load_tokenizer
tokenizer = load_tokenizer()
model = load_model('abacusai/Giraffe-v2-70b-32k', scale=8)

Runs of abacusai Giraffe-v2-70b-32k on huggingface.co

125
Total runs
0
24-hour runs
2
3-day runs
24
7-day runs
35
30-day runs

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Giraffe-v2-70b-32k install

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