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vicuna-metamath-llemma-7b
taesunwhang/vicuna-metamath-llemma-7b
vicuna-metamath-llemma-7b is a text generation model from taesunwhang. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as llama2.
This is a merge of pre-trained language models created using mergekit. Model merge (slerp) based on lmsys/vicuna-7b-v1.5 and meta-math/MetaMath-Llemma-7B
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6.7B
13.5 GB on disk
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.safetensors13.5 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- llama2
- Model type
- llama
- Access
- Public
- Created
- Jun 5, 2024
- Updated
- Jun 5, 2024
- SHA
- 14066d67
Try a prompt
Base models
Model card
From the Hugging Face model README
merge
This is a merge of pre-trained language models created using mergekit. Model merge (slerp) based on lmsys/vicuna-7b-v1.5 and meta-math/MetaMath-Llemma-7B
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Vicuna
Model Details
Vicuna is a chat assistant trained by fine-tuning Llama 2 on user-shared conversations collected from ShareGPT.
- Developed by: LMSYS
- Model type: An auto-regressive language model based on the transformer architecture
- License: Llama 2 Community License Agreement
- Finetuned from model: Llama 2
Model Sources
- Repository: https://github.com/lm-sys/FastChat
- Blog: https://lmsys.org/blog/2023-03-30-vicuna/
- Paper: https://arxiv.org/abs/2306.05685
- Demo: https://chat.lmsys.org/
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MetaMath Llemma
Model Details
MetaMath-Llemma-7B is fully fine-tuned on the MetaMathQA datasets and based on the powerful Llemma-7B model. It is glad to see using MetaMathQA datasets and change the base model from llama-2-7B to Llemma-7B can boost the MATH performance from 19.8 to 30.0.
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- License
- llama2
- Created
- Jun 5, 2024
- Updated
- Jun 5, 2024