File size: 1,632 Bytes
2845bbe
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
---
license: cc-by-nc-4.0
base_model_relation: quantized
quantized_by: Quant-Cartel
base_model: rAIfle/Acolyte-22B
pipeline_tag: text-generation
tags:
- iMat
- GGUF
---
```
  e88 88e                               d8     
 d888 888b  8888 8888  ,"Y88b 888 8e   d88     
C8888 8888D 8888 8888 "8" 888 888 88b d88888   
 Y888 888P  Y888 888P ,ee 888 888 888  888     
  "88 88"    "88 88"  "88 888 888 888  888     
      b                                        
      8b,                                      
 
  e88'Y88                  d8           888    
 d888  'Y  ,"Y88b 888,8,  d88    ,e e,  888    
C8888     "8" 888 888 "  d88888 d88 88b 888    
 Y888  ,d ,ee 888 888     888   888   , 888    
  "88,d88 "88 888 888     888    "YeeP" 888    
                                               
PROUDLY PRESENTS         
```
# Acolyte-22B-iMat-GGUF

Quantized with love from fp32.

Original model author: [rAIfle](https://huggingface.co/rAIfle/)

* Importance Matrix calculated using [groups_merged.txt](https://github.com/ggerganov/llama.cpp/discussions/5263#discussioncomment-8395384)
*  105 chunks
*  n_ctx=512
*  Calculation uses fp32 precision model weights

Original model README [here](https://huggingface.co/rAIfle/Acolyte-22B/) and below:

# Acolyte-22B

![image/png](https://cdn-uploads.huggingface.co/production/uploads/6569a4ed2419be6072890cf8/3dcGMcrWK2-2vQh9QBt3o.png)

LoRA of a bunch of random datasets on top of Mistral-Small-Instruct-2409, then SLERPed onto base at 0.5. Decent enough for its size.
Check the [LoRA](https://huggingface.co/rAIfle/Acolyte-LORA) for dataset info.

Use `Mistral V2 & V3` template.