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# Gorilla 7B GGML

These files are fp16 format model files for [Gorilla 7B](https://huggingface.co/gorilla-llm/gorilla-7b-hf-delta-v0).

They are the result of merging the deltas and then uploading in fp16 format.

**NOTE**: This is not a regular LLM. It is designed to allow LLMs to use tools by invoking APIs.

"Gorilla enables LLMs to use tools by invoking APIs. Given a natural language query, Gorilla can write a semantically- and syntactically- correct API to invoke. With Gorilla, we are the first to demonstrate how to use LLMs to invoke 1,600+ (and growing) API calls accurately while reducing hallucination. "

## Other repositories available

* [4-bit GPTQ models for GPU inference](https://huggingface.co/TheBloke/gorilla-7B-GPTQ)
* [4-bit, 5-bit, and 8-bit GGML models for CPU+GPU inference](https://huggingface.co/TheBloke/gorilla-7B-GGML)
* [Merged, unquantised fp16 model in HF format](https://huggingface.co/TheBloke/gorilla-7B-fp16)

## Prompt template

```
###USER: find me an API to generate cute cat images
###ASSISTANT:
```

<!-- footer start -->
## Discord

For further support, and discussions on these models and AI in general, join us at:

[TheBloke AI's Discord server](https://discord.gg/Jq4vkcDakD)

## Thanks, and how to contribute.

Thanks to the [chirper.ai](https://chirper.ai) team!

I've had a lot of people ask if they can contribute. I enjoy providing models and helping people, and would love to be able to spend even more time doing it, as well as expanding into new projects like fine tuning/training.

If you're able and willing to contribute it will be most gratefully received and will help me to keep providing more models, and to start work on new AI projects.

Donaters will get priority support on any and all AI/LLM/model questions and requests, access to a private Discord room, plus other benefits.

* Patreon: https://patreon.com/TheBlokeAI
* Ko-Fi: https://ko-fi.com/TheBlokeAI

**Patreon special mentions**: Aemon Algiz, Dmitriy Samsonov, Nathan LeClaire, Trenton Dambrowitz, Mano Prime, David Flickinger, vamX, Nikolai Manek, senxiiz, Khalefa Al-Ahmad, Illia Dulskyi, Jonathan Leane, Talal Aujan, V. Lukas, Joseph William Delisle, Pyrater, Oscar Rangel, Lone Striker, Luke Pendergrass, Eugene Pentland, Sebastain Graf, Johann-Peter Hartman.

Thank you to all my generous patrons and donaters!
<!-- footer end -->

# Original model card: Gorilla 7B

# Gorilla: Large Language Model Connected with Massive APIs
By Shishir G. Patil, Tianjun Zhang, Xin Wang, and Joseph E. Gonzalez  ([Project Website](https://shishirpatil.github.io/gorilla/))

[![arXiv](https://img.shields.io/badge/arXiv-2305.15334-<COLOR>.svg?style=flat-square)](https://arxiv.org/abs/2305.15334)  [![Discord](https://img.shields.io/discord/1111172801899012102?label=Discord&logo=discord&logoColor=green&style=flat-square)](https://discord.gg/3apqwwME) [![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1DEBPsccVLF_aUnmD0FwPeHFrtdC0QIUP?usp=sharing)

`Gorilla` enables LLMs to use tools by invoking APIs. Given a natural language query, Gorilla can write a semantically- and syntactically- correct API to invoke. With Gorilla, we are the first to demonstrate how to use LLMs to invoke 1,600+ (and growing) API calls accurately while reducing hallucination. We also release APIBench, the largest collection of APIs, curated and easy to be trained on! Join us, as we try to expand the largest API store and teach LLMs how to write them! Hop on our Discord, or open a PR, or email us if you would like to have your API incorporated as well.

## Model Details

Gorilla can be either trained via standard finetuning or using our novel retriever-aware training pipeline. We release `gorilla-7b-hf-delta-v0`, a 0-shot finetuned LLM that can reliably use Hugging Face APIs. It can be prompted through simply natural language (e.g., "I want to generate an image from text."). Checkour our website, github and paper for more information.

### Model Type

Gorilla is an open-source API caller trained by fine-tuning LLaMA weights. It is an auto-regressive language model, based on the transformer architecture.

### Model Date

05/27/2023

### Organization

Gorilla LLM (UC Berkeley)

---
license: apache-2.0
---

{"license": "other", "inference": false}
transformers pytorch llama text-generation arxiv:2305.15334 license:other autotrain_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #llama #text-generation #arxiv-2305.15334 #license-other #autotrain_compatible #text-generation-inference #region-us 



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    <img src="https://i.URL alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="display: flex; justify-content: space-between; width: 100%;">
    <div style="display: flex; flex-direction: column; align-items: flex-start;">
        <p><a href="URL & support: my new Discord server</a></p>
    </div>
    <div style="display: flex; flex-direction: column; align-items: flex-end;">
        <p><a href="URL to contribute? TheBloke's Patreon page</a></p>
    </div>
</div>


# Gorilla 7B GGML

These files are fp16 format model files for Gorilla 7B.

They are the result of merging the deltas and then uploading in fp16 format.

NOTE: This is not a regular LLM. It is designed to allow LLMs to use tools by invoking APIs.

"Gorilla enables LLMs to use tools by invoking APIs. Given a natural language query, Gorilla can write a semantically- and syntactically- correct API to invoke. With Gorilla, we are the first to demonstrate how to use LLMs to invoke 1,600+ (and growing) API calls accurately while reducing hallucination. "

## Other repositories available

* 4-bit GPTQ models for GPU inference
* 4-bit, 5-bit, and 8-bit GGML models for CPU+GPU inference
* Merged, unquantised fp16 model in HF format

## Prompt template




## Discord

For further support, and discussions on these models and AI in general, join us at:

TheBloke AI's Discord server

## Thanks, and how to contribute.

Thanks to the URL team!

I've had a lot of people ask if they can contribute. I enjoy providing models and helping people, and would love to be able to spend even more time doing it, as well as expanding into new projects like fine tuning/training.

If you're able and willing to contribute it will be most gratefully received and will help me to keep providing more models, and to start work on new AI projects.

Donaters will get priority support on any and all AI/LLM/model questions and requests, access to a private Discord room, plus other benefits.

* Patreon: URL
* Ko-Fi: URL

Patreon special mentions: Aemon Algiz, Dmitriy Samsonov, Nathan LeClaire, Trenton Dambrowitz, Mano Prime, David Flickinger, vamX, Nikolai Manek, senxiiz, Khalefa Al-Ahmad, Illia Dulskyi, Jonathan Leane, Talal Aujan, V. Lukas, Joseph William Delisle, Pyrater, Oscar Rangel, Lone Striker, Luke Pendergrass, Eugene Pentland, Sebastain Graf, Johann-Peter Hartman.

Thank you to all my generous patrons and donaters!


# Original model card: Gorilla 7B

# Gorilla: Large Language Model Connected with Massive APIs
By Shishir G. Patil, Tianjun Zhang, Xin Wang, and Joseph E. Gonzalez  (Project Website)

![arXiv](URL  ![Discord](URL ![Colab](URL

'Gorilla' enables LLMs to use tools by invoking APIs. Given a natural language query, Gorilla can write a semantically- and syntactically- correct API to invoke. With Gorilla, we are the first to demonstrate how to use LLMs to invoke 1,600+ (and growing) API calls accurately while reducing hallucination. We also release APIBench, the largest collection of APIs, curated and easy to be trained on! Join us, as we try to expand the largest API store and teach LLMs how to write them! Hop on our Discord, or open a PR, or email us if you would like to have your API incorporated as well.

## Model Details

Gorilla can be either trained via standard finetuning or using our novel retriever-aware training pipeline. We release 'gorilla-7b-hf-delta-v0', a 0-shot finetuned LLM that can reliably use Hugging Face APIs. It can be prompted through simply natural language (e.g., "I want to generate an image from text."). Checkour our website, github and paper for more information.

### Model Type

Gorilla is an open-source API caller trained by fine-tuning LLaMA weights. It is an auto-regressive language model, based on the transformer architecture.

### Model Date

05/27/2023

### Organization

Gorilla LLM (UC Berkeley)

---
license: apache-2.0
---

# Gorilla 7B GGML

These files are fp16 format model files for Gorilla 7B.

They are the result of merging the deltas and then uploading in fp16 format.

NOTE: This is not a regular LLM. It is designed to allow LLMs to use tools by invoking APIs.

"Gorilla enables LLMs to use tools by invoking APIs. Given a natural language query, Gorilla can write a semantically- and syntactically- correct API to invoke. With Gorilla, we are the first to demonstrate how to use LLMs to invoke 1,600+ (and growing) API calls accurately while reducing hallucination. " ## Other repositories available

* 4-bit GPTQ models for GPU inference
* 4-bit, 5-bit, and 8-bit GGML models for CPU+GPU inference
* Merged, unquantised fp16 model in HF format ## Prompt template ## Discord

For further support, and discussions on these models and AI in general, join us at:

TheBloke AI's Discord server ## Thanks, and how to contribute.

Thanks to the URL team!

I've had a lot of people ask if they can contribute. I enjoy providing models and helping people, and would love to be able to spend even more time doing it, as well as expanding into new projects like fine tuning/training.

If you're able and willing to contribute it will be most gratefully received and will help me to keep providing more models, and to start work on new AI projects.

Donaters will get priority support on any and all AI/LLM/model questions and requests, access to a private Discord room, plus other benefits.

* Patreon: URL
* Ko-Fi: URL

Patreon special mentions: Aemon Algiz, Dmitriy Samsonov, Nathan LeClaire, Trenton Dambrowitz, Mano Prime, David Flickinger, vamX, Nikolai Manek, senxiiz, Khalefa Al-Ahmad, Illia Dulskyi, Jonathan Leane, Talal Aujan, V. Lukas, Joseph William Delisle, Pyrater, Oscar Rangel, Lone Striker, Luke Pendergrass, Eugene Pentland, Sebastain Graf, Johann-Peter Hartman.

Thank you to all my generous patrons and donaters! # Original model card: Gorilla 7B # Gorilla: Large Language Model Connected with Massive APIs
By Shishir G. Patil, Tianjun Zhang, Xin Wang, and Joseph E. Gonzalez  (Project Website)

![arXiv](URL  ![Discord](URL ![Colab](URL

'Gorilla' enables LLMs to use tools by invoking APIs. Given a natural language query, Gorilla can write a semantically- and syntactically- correct API to invoke. With Gorilla, we are the first to demonstrate how to use LLMs to invoke 1,600+ (and growing) API calls accurately while reducing hallucination. We also release APIBench, the largest collection of APIs, curated and easy to be trained on! Join us, as we try to expand the largest API store and teach LLMs how to write them! Hop on our Discord, or open a PR, or email us if you would like to have your API incorporated as well. ## Model Details

Gorilla can be either trained via standard finetuning or using our novel retriever-aware training pipeline. We release 'gorilla-7b-hf-delta-v0', a 0-shot finetuned LLM that can reliably use Hugging Face APIs. It can be prompted through simply natural language (e.g., "I want to generate an image from text."). Checkour our website, github and paper for more information. ### Model Type

Gorilla is an open-source API caller trained by fine-tuning LLaMA weights. It is an auto-regressive language model, based on the transformer architecture. ### Model Date

05/27/2023 ### Organization

Gorilla LLM (UC Berkeley)

---
license: apache-2.0
---
TAGS
#transformers #pytorch #llama #text-generation #arxiv-2305.15334 #license-other #autotrain_compatible #text-generation-inference #region-us 
 # Gorilla 7B GGML

These files are fp16 format model files for Gorilla 7B.

They are the result of merging the deltas and then uploading in fp16 format.

NOTE: This is not a regular LLM. It is designed to allow LLMs to use tools by invoking APIs.

"Gorilla enables LLMs to use tools by invoking APIs. Given a natural language query, Gorilla can write a semantically- and syntactically- correct API to invoke. With Gorilla, we are the first to demonstrate how to use LLMs to invoke 1,600+ (and growing) API calls accurately while reducing hallucination. " ## Other repositories available

* 4-bit GPTQ models for GPU inference
* 4-bit, 5-bit, and 8-bit GGML models for CPU+GPU inference
* Merged, unquantised fp16 model in HF format ## Prompt template ## Discord

For further support, and discussions on these models and AI in general, join us at:

TheBloke AI's Discord server ## Thanks, and how to contribute.

Thanks to the URL team!

I've had a lot of people ask if they can contribute. I enjoy providing models and helping people, and would love to be able to spend even more time doing it, as well as expanding into new projects like fine tuning/training.

If you're able and willing to contribute it will be most gratefully received and will help me to keep providing more models, and to start work on new AI projects.

Donaters will get priority support on any and all AI/LLM/model questions and requests, access to a private Discord room, plus other benefits.

* Patreon: URL
* Ko-Fi: URL

Patreon special mentions: Aemon Algiz, Dmitriy Samsonov, Nathan LeClaire, Trenton Dambrowitz, Mano Prime, David Flickinger, vamX, Nikolai Manek, senxiiz, Khalefa Al-Ahmad, Illia Dulskyi, Jonathan Leane, Talal Aujan, V. Lukas, Joseph William Delisle, Pyrater, Oscar Rangel, Lone Striker, Luke Pendergrass, Eugene Pentland, Sebastain Graf, Johann-Peter Hartman.

Thank you to all my generous patrons and donaters! # Original model card: Gorilla 7B # Gorilla: Large Language Model Connected with Massive APIs
By Shishir G. Patil, Tianjun Zhang, Xin Wang, and Joseph E. Gonzalez  (Project Website)

![arXiv](URL  ![Discord](URL ![Colab](URL

'Gorilla' enables LLMs to use tools by invoking APIs. Given a natural language query, Gorilla can write a semantically- and syntactically- correct API to invoke. With Gorilla, we are the first to demonstrate how to use LLMs to invoke 1,600+ (and growing) API calls accurately while reducing hallucination. We also release APIBench, the largest collection of APIs, curated and easy to be trained on! Join us, as we try to expand the largest API store and teach LLMs how to write them! Hop on our Discord, or open a PR, or email us if you would like to have your API incorporated as well. ## Model Details

Gorilla can be either trained via standard finetuning or using our novel retriever-aware training pipeline. We release 'gorilla-7b-hf-delta-v0', a 0-shot finetuned LLM that can reliably use Hugging Face APIs. It can be prompted through simply natural language (e.g., "I want to generate an image from text."). Checkour our website, github and paper for more information. ### Model Type

Gorilla is an open-source API caller trained by fine-tuning LLaMA weights. It is an auto-regressive language model, based on the transformer architecture. ### Model Date

05/27/2023 ### Organization

Gorilla LLM (UC Berkeley)

---
license: apache-2.0
---