Hugging Face's logo

mradermacher
/
Azathoth-16x7B-bf16-GGUF

Transformers
GGUF
English
Mixture of Experts
Merge
Inference Endpoints
conversational
Model card Files Community
mradermacher commited on
Commit
d8b40be
·
verified ·
1 Parent(s): f2c733e

auto-patch README.md

Browse files
Files changed (1) hide show
  1. README.md +6 -0
README.md CHANGED
@@ -33,7 +33,13 @@ more details, including on how to concatenate multi-part files.
33
  | Link | Type | Size/GB | Notes |
34
  |:-----|:-----|--------:|:------|
35
  | [GGUF](https://huggingface.co/mradermacher/Azathoth-16x7B-bf16-GGUF/resolve/main/Azathoth-16x7B-bf16.Q2_K.gguf) | Q2_K | 33.4 | |
 
 
 
36
  | [PART 1](https://huggingface.co/mradermacher/Azathoth-16x7B-bf16-GGUF/resolve/main/Azathoth-16x7B-bf16.Q4_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Azathoth-16x7B-bf16-GGUF/resolve/main/Azathoth-16x7B-bf16.Q4_K_S.gguf.part2of2) | Q4_K_S | 52.3 | fast, recommended |
 
 
 
37
  | [PART 1](https://huggingface.co/mradermacher/Azathoth-16x7B-bf16-GGUF/resolve/main/Azathoth-16x7B-bf16.Q8_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Azathoth-16x7B-bf16-GGUF/resolve/main/Azathoth-16x7B-bf16.Q8_0.gguf.part2of2) | Q8_0 | 97.6 | fast, best quality |
38
 
39
  Here is a handy graph by ikawrakow comparing some lower-quality quant
 
33
  | Link | Type | Size/GB | Notes |
34
  |:-----|:-----|--------:|:------|
35
  | [GGUF](https://huggingface.co/mradermacher/Azathoth-16x7B-bf16-GGUF/resolve/main/Azathoth-16x7B-bf16.Q2_K.gguf) | Q2_K | 33.4 | |
36
+ | [GGUF](https://huggingface.co/mradermacher/Azathoth-16x7B-bf16-GGUF/resolve/main/Azathoth-16x7B-bf16.Q3_K_S.gguf) | Q3_K_S | 39.6 | |
37
+ | [GGUF](https://huggingface.co/mradermacher/Azathoth-16x7B-bf16-GGUF/resolve/main/Azathoth-16x7B-bf16.Q3_K_M.gguf) | Q3_K_M | 43.9 | lower quality |
38
+ | [GGUF](https://huggingface.co/mradermacher/Azathoth-16x7B-bf16-GGUF/resolve/main/Azathoth-16x7B-bf16.Q3_K_L.gguf) | Q3_K_L | 47.5 | |
39
  | [PART 1](https://huggingface.co/mradermacher/Azathoth-16x7B-bf16-GGUF/resolve/main/Azathoth-16x7B-bf16.Q4_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Azathoth-16x7B-bf16-GGUF/resolve/main/Azathoth-16x7B-bf16.Q4_K_S.gguf.part2of2) | Q4_K_S | 52.3 | fast, recommended |
40
+ | [PART 1](https://huggingface.co/mradermacher/Azathoth-16x7B-bf16-GGUF/resolve/main/Azathoth-16x7B-bf16.Q4_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Azathoth-16x7B-bf16-GGUF/resolve/main/Azathoth-16x7B-bf16.Q4_K_M.gguf.part2of2) | Q4_K_M | 55.7 | fast, recommended |
41
+ | [PART 1](https://huggingface.co/mradermacher/Azathoth-16x7B-bf16-GGUF/resolve/main/Azathoth-16x7B-bf16.Q5_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Azathoth-16x7B-bf16-GGUF/resolve/main/Azathoth-16x7B-bf16.Q5_K_S.gguf.part2of2) | Q5_K_S | 63.2 | |
42
+ | [PART 1](https://huggingface.co/mradermacher/Azathoth-16x7B-bf16-GGUF/resolve/main/Azathoth-16x7B-bf16.Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Azathoth-16x7B-bf16-GGUF/resolve/main/Azathoth-16x7B-bf16.Q6_K.gguf.part2of2) | Q6_K | 75.4 | very good quality |
43
  | [PART 1](https://huggingface.co/mradermacher/Azathoth-16x7B-bf16-GGUF/resolve/main/Azathoth-16x7B-bf16.Q8_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Azathoth-16x7B-bf16-GGUF/resolve/main/Azathoth-16x7B-bf16.Q8_0.gguf.part2of2) | Q8_0 | 97.6 | fast, best quality |
44
 
45
  Here is a handy graph by ikawrakow comparing some lower-quality quant