Salesforce
/

xLAM-7b-fc-r

Text Generation

function-calling

text-generation-inference

Inference Endpoints

Model card Files Files and versions Community

jianguozhang commited on Jul 18

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@@ -32,14 +32,15 @@ We provide a series of xLAMs in different sizes to cater to various applications
 | Model                  | # Total Params | Context Length | Download Model  | Download GGUF files |
 |------------------------|----------------|----------------|----------------|----------|
-| xLAM-1b-fc-r           | 1.35B          | 16k            | [🤗 Link](https://huggingface.co/Salesforce/xLAM-1b-fc-r) | [🤗 Link](https://huggingface.co/Salesforce/xLAM-1b-fc-r-gguf) |
-| xLAM-7b-fc-r           | 6.91B          | 4k             | [🤗 Link](https://huggingface.co/Salesforce/xLAM-7b-fc-r) | [🤗 Link](https://huggingface.co/Salesforce/xLAM-7b-fc-r-gguf) |
 The `fc` series of models are optimized for function-calling capability, providing fast, accurate, and structured responses based on input queries and available APIs. These models are fine-tuned based on the [deepseek-coder](https://huggingface.co/collections/deepseek-ai/deepseek-coder-65f295d7d8a0a29fe39b4ec4) models and are designed to be small enough for deployment on personal devices like phones or computers.
 We also provide their quantized [GGUF](https://huggingface.co/docs/hub/en/gguf) files for efficient deployment and execution. GGUF is a file format designed to efficiently store and load large language models, making GGUF ideal for running AI models on local devices with limited resources, enabling offline functionality and enhanced privacy.
-For more details, check our [paper](https://arxiv.org/abs/2406.18518).
 ## Repository Overview

 | Model                  | # Total Params | Context Length | Download Model  | Download GGUF files |
 |------------------------|----------------|----------------|----------------|----------|
+| xLAM-1b-fc-r           | 1.35B          | 16384            | [🤗 Link](https://huggingface.co/Salesforce/xLAM-1b-fc-r) | [🤗 Link](https://huggingface.co/Salesforce/xLAM-1b-fc-r-gguf) |
+| xLAM-7b-fc-r           | 6.91B          | 4096             | [🤗 Link](https://huggingface.co/Salesforce/xLAM-7b-fc-r) | [🤗 Link](https://huggingface.co/Salesforce/xLAM-7b-fc-r-gguf) |
 The `fc` series of models are optimized for function-calling capability, providing fast, accurate, and structured responses based on input queries and available APIs. These models are fine-tuned based on the [deepseek-coder](https://huggingface.co/collections/deepseek-ai/deepseek-coder-65f295d7d8a0a29fe39b4ec4) models and are designed to be small enough for deployment on personal devices like phones or computers.
 We also provide their quantized [GGUF](https://huggingface.co/docs/hub/en/gguf) files for efficient deployment and execution. GGUF is a file format designed to efficiently store and load large language models, making GGUF ideal for running AI models on local devices with limited resources, enabling offline functionality and enhanced privacy.
+For more details, check our [GitHub](https://github.com/SalesforceAIResearch/xLAM) and [paper](https://arxiv.org/abs/2406.18518).
 ## Repository Overview