Hugging Face's logo

mradermacher
/
Bagel-Hermes-2x34B-i1-GGUF

Transformers
GGUF
English
yi
Mixture of Experts
Inference Endpoints
conversational
Model card Files Community
mradermacher commited on
Commit
3700b23
•
1 Parent(s): 4dd1403

auto-patch README.md

Browse files
Files changed (1) hide show
  1. README.md +1 -2
README.md CHANGED
@@ -34,7 +34,7 @@ more details, including on how to concatenate multi-part files.
34
  | Link | Type | Size/GB | Notes |
35
  |:-----|:-----|--------:|:------|
36
  | [GGUF](https://huggingface.co/mradermacher/Bagel-Hermes-2x34B-i1-GGUF/resolve/main/Bagel-Hermes-2x34B.i1-IQ1_S.gguf) | i1-IQ1_S | 12.9 | for the desperate |
37
- | [GGUF](https://huggingface.co/mradermacher/Bagel-Hermes-2x34B-i1-GGUF/resolve/main/Bagel-Hermes-2x34B.i1-IQ1_M.gguf) | i1-IQ1_M | 14.2 | for the desperate |
38
  | [GGUF](https://huggingface.co/mradermacher/Bagel-Hermes-2x34B-i1-GGUF/resolve/main/Bagel-Hermes-2x34B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 16.3 | |
39
  | [GGUF](https://huggingface.co/mradermacher/Bagel-Hermes-2x34B-i1-GGUF/resolve/main/Bagel-Hermes-2x34B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 18.1 | |
40
  | [GGUF](https://huggingface.co/mradermacher/Bagel-Hermes-2x34B-i1-GGUF/resolve/main/Bagel-Hermes-2x34B.i1-IQ2_S.gguf) | i1-IQ2_S | 18.8 | |
@@ -55,7 +55,6 @@ more details, including on how to concatenate multi-part files.
55
  | [GGUF](https://huggingface.co/mradermacher/Bagel-Hermes-2x34B-i1-GGUF/resolve/main/Bagel-Hermes-2x34B.i1-Q5_K_M.gguf) | i1-Q5_K_M | 43.2 | |
56
  | [GGUF](https://huggingface.co/mradermacher/Bagel-Hermes-2x34B-i1-GGUF/resolve/main/Bagel-Hermes-2x34B.i1-Q6_K.gguf) | i1-Q6_K | 50.0 | practically like static Q6_K |
57
 
58
-
59
  Here is a handy graph by ikawrakow comparing some lower-quality quant
60
  types (lower is better):
61
 
 
34
  | Link | Type | Size/GB | Notes |
35
  |:-----|:-----|--------:|:------|
36
  | [GGUF](https://huggingface.co/mradermacher/Bagel-Hermes-2x34B-i1-GGUF/resolve/main/Bagel-Hermes-2x34B.i1-IQ1_S.gguf) | i1-IQ1_S | 12.9 | for the desperate |
37
+ | [GGUF](https://huggingface.co/mradermacher/Bagel-Hermes-2x34B-i1-GGUF/resolve/main/Bagel-Hermes-2x34B.i1-IQ1_M.gguf) | i1-IQ1_M | 14.2 | mostly desperate |
38
  | [GGUF](https://huggingface.co/mradermacher/Bagel-Hermes-2x34B-i1-GGUF/resolve/main/Bagel-Hermes-2x34B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 16.3 | |
39
  | [GGUF](https://huggingface.co/mradermacher/Bagel-Hermes-2x34B-i1-GGUF/resolve/main/Bagel-Hermes-2x34B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 18.1 | |
40
  | [GGUF](https://huggingface.co/mradermacher/Bagel-Hermes-2x34B-i1-GGUF/resolve/main/Bagel-Hermes-2x34B.i1-IQ2_S.gguf) | i1-IQ2_S | 18.8 | |
 
55
  | [GGUF](https://huggingface.co/mradermacher/Bagel-Hermes-2x34B-i1-GGUF/resolve/main/Bagel-Hermes-2x34B.i1-Q5_K_M.gguf) | i1-Q5_K_M | 43.2 | |
56
  | [GGUF](https://huggingface.co/mradermacher/Bagel-Hermes-2x34B-i1-GGUF/resolve/main/Bagel-Hermes-2x34B.i1-Q6_K.gguf) | i1-Q6_K | 50.0 | practically like static Q6_K |
57
 
 
58
  Here is a handy graph by ikawrakow comparing some lower-quality quant
59
  types (lower is better):
60