File size: 4,057 Bytes
ac16a64
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
ab68008
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
---
license: cc-by-nc-4.0
model_name: xLAM-1b-fc-r
base_model: Salesforce/xLAM-1b-fc-r
inference: false
model_creator: Salesforce
quantized_by: Second State Inc.
pipeline_tag: text-generation
tags:
- function-calling
- LLM Agent
- tool-use
- deepseek
language:
- en
---

<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
<!-- header end -->

# xLAM-1b-fc-r-GGUF

## Original Model

[Salesforce/xLAM-1b-fc-r](https://huggingface.co/Salesforce/xLAM-1b-fc-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-1b-fc-r-Q5_K_M.gguf llama-api-server.wasm -p chatml -r '<|im_end|>'
  ``` -->

- Context size: `16000`

<!-- - Run as LlamaEdge command app

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:xLAM-1b-fc-r-Q5_K_M.gguf llama-chat.wasm -p chatml -r '<|im_end|>'
  ``` -->

## Quantized GGUF Models

| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [xLAM-1b-fc-r-Q2_K.gguf](https://huggingface.co/second-state/xLAM-1b-fc-r-GGUF/blob/main/xLAM-1b-fc-r-Q2_K.gguf)     | Q2_K   | 2 | 560 MB| smallest, significant quality loss - not recommended for most purposes |
| [xLAM-1b-fc-r-Q3_K_L.gguf](https://huggingface.co/second-state/xLAM-1b-fc-r-GGUF/blob/main/xLAM-1b-fc-r-Q3_K_L.gguf)   | Q3_K_L | 3 | 744 MB| small, substantial quality loss |
| [xLAM-1b-fc-r-Q3_K_M.gguf](https://huggingface.co/second-state/xLAM-1b-fc-r-GGUF/blob/main/xLAM-1b-fc-r-Q3_K_M.gguf)   | Q3_K_M | 3 | 704 MB| very small, high quality loss |
| [xLAM-1b-fc-r-Q3_K_S.gguf](https://huggingface.co/second-state/xLAM-1b-fc-r-GGUF/blob/main/xLAM-1b-fc-r-Q3_K_S.gguf)   | Q3_K_S | 3 | 642 MB| very small, high quality loss |
| [xLAM-1b-fc-r-Q4_0.gguf](https://huggingface.co/second-state/xLAM-1b-fc-r-GGUF/blob/main/xLAM-1b-fc-r-Q4_0.gguf)     | Q4_0   | 4 | 776 MB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [xLAM-1b-fc-r-Q4_K_M.gguf](https://huggingface.co/second-state/xLAM-1b-fc-r-GGUF/blob/main/xLAM-1b-fc-r-Q4_K_M.gguf)   | Q4_K_M | 4 | 873 MB| medium, balanced quality - recommended |
| [xLAM-1b-fc-r-Q4_K_S.gguf](https://huggingface.co/second-state/xLAM-1b-fc-r-GGUF/blob/main/xLAM-1b-fc-r-Q4_K_S.gguf)   | Q4_K_S | 4 | 814 MB| small, greater quality loss |
| [xLAM-1b-fc-r-Q5_0.gguf](https://huggingface.co/second-state/xLAM-1b-fc-r-GGUF/blob/main/xLAM-1b-fc-r-Q5_0.gguf)     | Q5_0   | 5 | 936 MB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [xLAM-1b-fc-r-Q5_K_M.gguf](https://huggingface.co/second-state/xLAM-1b-fc-r-GGUF/blob/main/xLAM-1b-fc-r-Q5_K_M.gguf)   | Q5_K_M | 5 | 1.00 GB| large, very low quality loss - recommended |
| [xLAM-1b-fc-r-Q5_K_S.gguf](https://huggingface.co/second-state/xLAM-1b-fc-r-GGUF/blob/main/xLAM-1b-fc-r-Q5_K_S.gguf)   | Q5_K_S | 5 | 953 MB| large, low quality loss - recommended |
| [xLAM-1b-fc-r-Q6_K.gguf](https://huggingface.co/second-state/xLAM-1b-fc-r-GGUF/blob/main/xLAM-1b-fc-r-Q6_K.gguf)     | Q6_K   | 6 | 1.17 GB| very large, extremely low quality loss |
| [xLAM-1b-fc-r-Q8_0.gguf](https://huggingface.co/second-state/xLAM-1b-fc-r-GGUF/blob/main/xLAM-1b-fc-r-Q8_0.gguf)     | Q8_0   | 8 | 1.43 GB| very large, extremely low quality loss - not recommended |
| [xLAM-1b-fc-r-f16.gguf](https://huggingface.co/second-state/xLAM-1b-fc-r-GGUF/blob/main/xLAM-1b-fc-r-f16.gguf)      | f16   | 16 | 2.69 GB| |

*Quantized with llama.cpp b3613.*