Ciaranshu commited on
Commit
48882bd
1 Parent(s): 729d9e2

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +4 -4
README.md CHANGED
@@ -15,14 +15,14 @@ tags:
15
  **Website**: [FireAct Agent](https://fireact-agent.github.io)
16
 
17
  # **FireAct Llama-2/CodeLlama**
18
- FireAct Llama/CodeLlama is a collection of fine-tuned generative text models for performaning ReAct with external search tools. Links to other models can be found in the Index section.
19
 
20
  ## Foundation Model Details
21
- *Note: As the foundation models, Llama-2 and CodeLlama, are developed by Meta, please also read the guidence and license on their website, [Llama-2](https://huggingface.co/meta-llama) and [CodeLlama](https://huggingface.co/codellama), before using FireAct models.*
22
 
23
- **Model Developers** Sysmtem 2 Research, Cambridge LTL, Monash University, Princeton PLI.
24
 
25
- **Variations** FireAct models including Llama-2-7B full fine-tuned models, and Llama-2-[7B,13B], CodeLlama-[7B,13B,34B] LoRA fine-tuned models. All released models are fine-tuned on multi-task (HotpotQA/StrategyQA/MMLU) and multi-types (ReAct/CoT/Reflexion) data.
26
 
27
  **Input** Models input text only.
28
 
 
15
  **Website**: [FireAct Agent](https://fireact-agent.github.io)
16
 
17
  # **FireAct Llama-2/CodeLlama**
18
+ FireAct Llama/CodeLlama is a collection of fine-tuned generative text models for performing ReAct with external search tools. Links to other models can be found in the Index section.
19
 
20
  ## Foundation Model Details
21
+ *Note: As the foundation models, Llama-2 and CodeLlama, are developed by Meta, please also read the guidance and license on their website, [Llama-2](https://huggingface.co/meta-llama) and [CodeLlama](https://huggingface.co/codellama), before using FireAct models.*
22
 
23
+ **Model Developers** System 2 Research, Cambridge LTL, Monash University, Princeton PLI.
24
 
25
+ **Variations** FireAct models including Llama-2-7B full fine-tuned models, and Llama-2-[7B,13B], CodeLlama-[7B,13B,34B] LoRA fine-tuned models. All released models are fine-tuned on multi-task (HotpotQA/StrategyQA/MMLU) and multi-type (ReAct/CoT/Reflexion) data.
26
 
27
  **Input** Models input text only.
28