---
license: cc-by-nc-4.0
model_name: xLAM-8x7b-r
base_model: Salesforce/xLAM-8x7b-r
inference: false
model_creator: Salesforce
quantized_by: Second State Inc.
pipeline_tag: text-generation
tags:
- function-calling
- LLM Agent
- tool-use
- mistral
language:
- en
---

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# xLAM-8x7b-r-GGUF

## Original Model

[Salesforce/xLAM-8x7b-r](https://huggingface.co/Salesforce/xLAM-8x7b-r)

## Run with LlamaEdge

- LlamaEdge version: coming soon

<!-- - LlamaEdge version: [v0.14.0](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.14.0) and above

- Prompt template

  - Prompt type: `chatml`

  - Prompt string

    ```text
    <|im_start|>system
    {system_message}<|im_end|>
    <|im_start|>user
    {prompt}<|im_end|>
    <|im_start|>assistant
    ```

  - Reverse prompt: `<|im_end|>`

- Run as LlamaEdge service

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:xLAM-8x7b-r-Q5_K_M.gguf llama-api-server.wasm -p chatml -r '<|im_end|>'
  ``` -->

- Context size: `32000`

<!-- - Run as LlamaEdge command app

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:xLAM-8x7b-r-Q5_K_M.gguf llama-chat.wasm -p chatml -r '<|im_end|>'
  ``` -->

## Quantized GGUF Models

| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [xLAM-8x7b-r-Q2_K.gguf](https://huggingface.co/second-state/xLAM-8x7b-r-GGUF/blob/main/xLAM-8x7b-r-Q2_K.gguf)       | Q2_K   | 2 | 17.3 GB| smallest, significant quality loss - not recommended for most purposes |
| [xLAM-8x7b-r-Q3_K_L.gguf](https://huggingface.co/second-state/xLAM-8x7b-r-GGUF/blob/main/xLAM-8x7b-r-Q3_K_L.gguf)   | Q3_K_L | 3 | 24.2 GB| small, substantial quality loss |
| [xLAM-8x7b-r-Q3_K_M.gguf](https://huggingface.co/second-state/xLAM-8x7b-r-GGUF/blob/main/xLAM-8x7b-r-Q3_K_M.gguf)   | Q3_K_M | 3 | 22.5 GB| very small, high quality loss |
| [xLAM-8x7b-r-Q3_K_S.gguf](https://huggingface.co/second-state/xLAM-8x7b-r-GGUF/blob/main/xLAM-8x7b-r-Q3_K_S.gguf)   | Q3_K_S | 3 | 20.4 GB| very small, high quality loss |
| [xLAM-8x7b-r-Q4_0.gguf](https://huggingface.co/second-state/xLAM-8x7b-r-GGUF/blob/main/xLAM-8x7b-r-Q4_0.gguf)       | Q4_0   | 4 | 26.4 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [xLAM-8x7b-r-Q4_K_M.gguf](https://huggingface.co/second-state/xLAM-8x7b-r-GGUF/blob/main/xLAM-8x7b-r-Q4_K_M.gguf)   | Q4_K_M | 4 | 28.4 GB| medium, balanced quality - recommended |
| [xLAM-8x7b-r-Q4_K_S.gguf](https://huggingface.co/second-state/xLAM-8x7b-r-GGUF/blob/main/xLAM-8x7b-r-Q4_K_S.gguf)   | Q4_K_S | 4 | 26.7 GB| small, greater quality loss |
| [xLAM-8x7b-r-Q5_0.gguf](https://huggingface.co/second-state/xLAM-8x7b-r-GGUF/blob/main/xLAM-8x7b-r-Q5_0.gguf)       | Q5_0   | 5 | 32.2 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [xLAM-8x7b-r-Q5_K_M.gguf](https://huggingface.co/second-state/xLAM-8x7b-r-GGUF/blob/main/xLAM-8x7b-r-Q5_K_M.gguf)   | Q5_K_M | 5 | 33.2 GB| large, very low quality loss - recommended |
| [xLAM-8x7b-r-Q5_K_S.gguf](https://huggingface.co/second-state/xLAM-8x7b-r-GGUF/blob/main/xLAM-8x7b-r-Q5_K_S.gguf)   | Q5_K_S | 5 | 32.2 GB| large, low quality loss - recommended |
| [xLAM-8x7b-r-Q6_K.gguf](https://huggingface.co/second-state/xLAM-8x7b-r-GGUF/blob/main/xLAM-8x7b-r-Q6_K.gguf)       | Q6_K   | 6 | 38.4 GB| very large, extremely low quality loss |
| [xLAM-8x7b-r-Q8_0.gguf](https://huggingface.co/second-state/xLAM-8x7b-r-GGUF/blob/main/xLAM-8x7b-r-Q8_0.gguf)       | Q8_0   | 8 | 49.6 GB| very large, extremely low quality loss - not recommended |
| [xLAM-8x7b-r-f16-00001-of-00004.gguf](https://huggingface.co/second-state/xLAM-8x7b-r-GGUF/blob/main/xLAM-8x7b-r-f16-00001-of-00004.gguf)      | f16   | 16 | 29.4 GB| |
| [xLAM-8x7b-r-f16-00002-of-00004.gguf](https://huggingface.co/second-state/xLAM-8x7b-r-GGUF/blob/main/xLAM-8x7b-r-f16-00002-of-00004.gguf)      | f16   | 16 | 30.0 GB| |
| [xLAM-8x7b-r-f16-00003-of-00004.gguf](https://huggingface.co/second-state/xLAM-8x7b-r-GGUF/blob/main/xLAM-8x7b-r-f16-00003-of-00004.gguf)      | f16   | 16 | 29.3 GB| |
| [xLAM-8x7b-r-f16-00004-of-00004.gguf](https://huggingface.co/second-state/xLAM-8x7b-r-GGUF/blob/main/xLAM-8x7b-r-f16-00004-of-00004.gguf)      | f16   | 16 | 4.78 GB| |

*Quantized with llama.cpp b3613.*