# Vicuna-13B-V1.1

Vicuna 13B model weights. 

- 2023.04.16 Obtain the Vicuna weights by merging the LLaMA-13B model and Vicuna delta weights v1.1, and upload to the huggingfae.co model repository https://huggingface.co/uukuguy/vicuna-13b-v1.1

```bash
# Make sure you have git-lfs installed (https://git-lfs.com)
git lfs install
git clone https://huggingface.co/uukuguy/vicuna-13b-v1.1

# if you want to clone without large files – just their pointers
# prepend your git clone with the following env var:
GIT_LFS_SKIP_SMUDGE=1
```

## Model Card

### Model details
Model type: Vicuna is an open-source chatbot trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT. It is an auto-regressive language model, based on the transformer architecture.

Model date: Vicuna-13B-V1.1 weights was merged in April 2023.

Organizations developing the model: The Vicuna team with members from UC Berkeley, CMU, Stanford, and UC San Diego.

Paper or resources for more information: https://vicuna.lmsys.org/

License: Apache License 2.0

Where to send questions or comments about the model: https://github.com/uukuguy/Vicuna-LoRA/issues

### Intended use
Primary intended uses: The primary use of Vicuna is research on large language models and chatbots.

Primary intended users: The primary intended users of the model are researchers and hobbyists in natural language processing, machine learning, and artificial intelligence.

### Major updates of weights v1.1
Refactor the tokenization and separator. In Vicuna v1.1, the separator has been changed from "###" to the EOS token "</s>". This change makes it easier to determine the generation stop criteria and enables better compatibility with other libraries.
Fix the supervised fine-tuning loss computation for better model quality.
 

{"license": "apache-2.0"}
transformers pytorch llama text-generation license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #llama #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

# Vicuna-13B-V1.1

Vicuna 13B model weights. 

- 2023.04.16 Obtain the Vicuna weights by merging the LLaMA-13B model and Vicuna delta weights v1.1, and upload to the URL model repository URL



## Model Card

### Model details
Model type: Vicuna is an open-source chatbot trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT. It is an auto-regressive language model, based on the transformer architecture.

Model date: Vicuna-13B-V1.1 weights was merged in April 2023.

Organizations developing the model: The Vicuna team with members from UC Berkeley, CMU, Stanford, and UC San Diego.

Paper or resources for more information: URL

License: Apache License 2.0

Where to send questions or comments about the model: URL

### Intended use
Primary intended uses: The primary use of Vicuna is research on large language models and chatbots.

Primary intended users: The primary intended users of the model are researchers and hobbyists in natural language processing, machine learning, and artificial intelligence.

### Major updates of weights v1.1
Refactor the tokenization and separator. In Vicuna v1.1, the separator has been changed from "###" to the EOS token "</s>". This change makes it easier to determine the generation stop criteria and enables better compatibility with other libraries.
Fix the supervised fine-tuning loss computation for better model quality.
 

# Vicuna-13B-V1.1

Vicuna 13B model weights. 

- 2023.04.16 Obtain the Vicuna weights by merging the LLaMA-13B model and Vicuna delta weights v1.1, and upload to the URL model repository URL ## Model Card ### Model details
Model type: Vicuna is an open-source chatbot trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT. It is an auto-regressive language model, based on the transformer architecture.

Model date: Vicuna-13B-V1.1 weights was merged in April 2023.

Organizations developing the model: The Vicuna team with members from UC Berkeley, CMU, Stanford, and UC San Diego.

Paper or resources for more information: URL

License: Apache License 2.0

Where to send questions or comments about the model: URL ### Intended use
Primary intended uses: The primary use of Vicuna is research on large language models and chatbots.

Primary intended users: The primary intended users of the model are researchers and hobbyists in natural language processing, machine learning, and artificial intelligence. ### Major updates of weights v1.1
Refactor the tokenization and separator. In Vicuna v1.1, the separator has been changed from "###" to the EOS token "</s>". This change makes it easier to determine the generation stop criteria and enables better compatibility with other libraries.
Fix the supervised fine-tuning loss computation for better model quality.
TAGS
#transformers #pytorch #llama #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # Vicuna-13B-V1.1

Vicuna 13B model weights. 

- 2023.04.16 Obtain the Vicuna weights by merging the LLaMA-13B model and Vicuna delta weights v1.1, and upload to the URL model repository URL ## Model Card ### Model details
Model type: Vicuna is an open-source chatbot trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT. It is an auto-regressive language model, based on the transformer architecture.

Model date: Vicuna-13B-V1.1 weights was merged in April 2023.

Organizations developing the model: The Vicuna team with members from UC Berkeley, CMU, Stanford, and UC San Diego.

Paper or resources for more information: URL

License: Apache License 2.0

Where to send questions or comments about the model: URL ### Intended use
Primary intended uses: The primary use of Vicuna is research on large language models and chatbots.

Primary intended users: The primary intended users of the model are researchers and hobbyists in natural language processing, machine learning, and artificial intelligence. ### Major updates of weights v1.1
Refactor the tokenization and separator. In Vicuna v1.1, the separator has been changed from "###" to the EOS token "</s>". This change makes it easier to determine the generation stop criteria and enables better compatibility with other libraries.
Fix the supervised fine-tuning loss computation for better model quality.
TAGS
#transformers #pytorch #llama #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# Vicuna-13B-V1.1

Vicuna 13B model weights. 

- 2023.04.16 Obtain the Vicuna weights by merging the LLaMA-13B model and Vicuna delta weights v1.1, and upload to the URL model repository URL## Model Card### Model details
Model type: Vicuna is an open-source chatbot trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT. It is an auto-regressive language model, based on the transformer architecture.

Model date: Vicuna-13B-V1.1 weights was merged in April 2023.

Organizations developing the model: The Vicuna team with members from UC Berkeley, CMU, Stanford, and UC San Diego.

Paper or resources for more information: URL

License: Apache License 2.0

Where to send questions or comments about the model: URL### Intended use
Primary intended uses: The primary use of Vicuna is research on large language models and chatbots.

Primary intended users: The primary intended users of the model are researchers and hobbyists in natural language processing, machine learning, and artificial intelligence.### Major updates of weights v1.1
Refactor the tokenization and separator. In Vicuna v1.1, the separator has been changed from "###" to the EOS token "</s>". This change makes it easier to determine the generation stop criteria and enables better compatibility with other libraries.
Fix the supervised fine-tuning loss computation for better model quality.