File size: 3,476 Bytes
7197c9c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
936589d
 
 
 
 
 
7197c9c
 
ae674dd
7197c9c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
ae674dd
7197c9c
 
ae674dd
7197c9c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
---
base_model: tiiuae/Falcon3-Mamba-7B-Base
language:
- en
library_name: transformers
license: other
license_link: https://falconllm.tii.ae/falcon-terms-and-conditions.html
license_name: falcon-llm-license
quantized_by: mradermacher
tags:
- falcon3
- falcon3_mamba
- falcon_mamba
---
## About

<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type:  -->
<!-- ### tags:  -->
static quants of https://huggingface.co/tiiuae/Falcon3-Mamba-7B-Base

<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Falcon3-Mamba-7B-Base-i1-GGUF
## Usage

If you are unsure how to use GGUF files, refer to one of [TheBloke's
READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
more details, including on how to concatenate multi-part files.

## Provided Quants

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

| Link | Type | Size/GB | Notes |
|:-----|:-----|--------:|:------|
| [GGUF](https://huggingface.co/mradermacher/Falcon3-Mamba-7B-Base-GGUF/resolve/main/Falcon3-Mamba-7B-Base.Q2_K.gguf) | Q2_K | 2.7 |  |
| [GGUF](https://huggingface.co/mradermacher/Falcon3-Mamba-7B-Base-GGUF/resolve/main/Falcon3-Mamba-7B-Base.Q3_K_L.gguf) | Q3_K_L | 3.4 |  |
| [GGUF](https://huggingface.co/mradermacher/Falcon3-Mamba-7B-Base-GGUF/resolve/main/Falcon3-Mamba-7B-Base.Q3_K_M.gguf) | Q3_K_M | 3.4 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Falcon3-Mamba-7B-Base-GGUF/resolve/main/Falcon3-Mamba-7B-Base.Q3_K_S.gguf) | Q3_K_S | 3.4 |  |
| [GGUF](https://huggingface.co/mradermacher/Falcon3-Mamba-7B-Base-GGUF/resolve/main/Falcon3-Mamba-7B-Base.IQ4_XS.gguf) | IQ4_XS | 4.1 |  |
| [GGUF](https://huggingface.co/mradermacher/Falcon3-Mamba-7B-Base-GGUF/resolve/main/Falcon3-Mamba-7B-Base.Q4_K_M.gguf) | Q4_K_M | 4.3 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Falcon3-Mamba-7B-Base-GGUF/resolve/main/Falcon3-Mamba-7B-Base.Q4_K_S.gguf) | Q4_K_S | 4.3 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Falcon3-Mamba-7B-Base-GGUF/resolve/main/Falcon3-Mamba-7B-Base.Q5_K_M.gguf) | Q5_K_M | 5.2 |  |
| [GGUF](https://huggingface.co/mradermacher/Falcon3-Mamba-7B-Base-GGUF/resolve/main/Falcon3-Mamba-7B-Base.Q5_K_S.gguf) | Q5_K_S | 5.2 |  |
| [GGUF](https://huggingface.co/mradermacher/Falcon3-Mamba-7B-Base-GGUF/resolve/main/Falcon3-Mamba-7B-Base.Q6_K.gguf) | Q6_K | 6.1 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/Falcon3-Mamba-7B-Base-GGUF/resolve/main/Falcon3-Mamba-7B-Base.Q8_0.gguf) | Q8_0 | 7.9 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/Falcon3-Mamba-7B-Base-GGUF/resolve/main/Falcon3-Mamba-7B-Base.f16.gguf) | f16 | 14.7 | 16 bpw, overkill |

Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):

![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)

And here are Artefact2's thoughts on the matter:
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

## FAQ / Model Request

See https://huggingface.co/mradermacher/model_requests for some answers to
questions you might have and/or if you want some other model quantized.

## Thanks

I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
me use its servers and providing upgrades to my workstation to enable
this work in my free time.

<!-- end -->