Hugging Face's logo

mradermacher
/
Eris_7B-GGUF

Transformers
GGUF
English
mergekit
Merge
Inference Endpoints
Model card Files Community
mradermacher commited on
Commit
5c78c3c
·
verified ·
1 Parent(s): d280362

auto-patch README.md

Browse files
Files changed (1) hide show
  1. README.md +5 -1
README.md CHANGED
@@ -19,7 +19,7 @@ tags:
19
  static quants of https://huggingface.co/ChaoticNeutrals/Eris_7B
20
 
21
  <!-- provided-files -->
22
- weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
23
  ## Usage
24
 
25
  If you are unsure how to use GGUF files, refer to one of [TheBloke's
@@ -36,10 +36,14 @@ more details, including on how to concatenate multi-part files.
36
  | [GGUF](https://huggingface.co/mradermacher/Eris_7B-GGUF/resolve/main/Eris_7B.Q3_K_S.gguf) | Q3_K_S | 3.3 | |
37
  | [GGUF](https://huggingface.co/mradermacher/Eris_7B-GGUF/resolve/main/Eris_7B.Q3_K_M.gguf) | Q3_K_M | 3.6 | lower quality |
38
  | [GGUF](https://huggingface.co/mradermacher/Eris_7B-GGUF/resolve/main/Eris_7B.Q3_K_L.gguf) | Q3_K_L | 3.9 | |
 
39
  | [GGUF](https://huggingface.co/mradermacher/Eris_7B-GGUF/resolve/main/Eris_7B.Q4_K_S.gguf) | Q4_K_S | 4.2 | fast, recommended |
40
  | [GGUF](https://huggingface.co/mradermacher/Eris_7B-GGUF/resolve/main/Eris_7B.Q4_K_M.gguf) | Q4_K_M | 4.5 | fast, recommended |
 
 
41
  | [GGUF](https://huggingface.co/mradermacher/Eris_7B-GGUF/resolve/main/Eris_7B.Q6_K.gguf) | Q6_K | 6.0 | very good quality |
42
  | [GGUF](https://huggingface.co/mradermacher/Eris_7B-GGUF/resolve/main/Eris_7B.Q8_0.gguf) | Q8_0 | 7.8 | fast, best quality |
 
43
 
44
  Here is a handy graph by ikawrakow comparing some lower-quality quant
45
  types (lower is better):
 
19
  static quants of https://huggingface.co/ChaoticNeutrals/Eris_7B
20
 
21
  <!-- provided-files -->
22
+ weighted/imatrix quants are available at https://huggingface.co/mradermacher/Eris_7B-i1-GGUF
23
  ## Usage
24
 
25
  If you are unsure how to use GGUF files, refer to one of [TheBloke's
 
36
  | [GGUF](https://huggingface.co/mradermacher/Eris_7B-GGUF/resolve/main/Eris_7B.Q3_K_S.gguf) | Q3_K_S | 3.3 | |
37
  | [GGUF](https://huggingface.co/mradermacher/Eris_7B-GGUF/resolve/main/Eris_7B.Q3_K_M.gguf) | Q3_K_M | 3.6 | lower quality |
38
  | [GGUF](https://huggingface.co/mradermacher/Eris_7B-GGUF/resolve/main/Eris_7B.Q3_K_L.gguf) | Q3_K_L | 3.9 | |
39
+ | [GGUF](https://huggingface.co/mradermacher/Eris_7B-GGUF/resolve/main/Eris_7B.IQ4_XS.gguf) | IQ4_XS | 4.0 | |
40
  | [GGUF](https://huggingface.co/mradermacher/Eris_7B-GGUF/resolve/main/Eris_7B.Q4_K_S.gguf) | Q4_K_S | 4.2 | fast, recommended |
41
  | [GGUF](https://huggingface.co/mradermacher/Eris_7B-GGUF/resolve/main/Eris_7B.Q4_K_M.gguf) | Q4_K_M | 4.5 | fast, recommended |
42
+ | [GGUF](https://huggingface.co/mradermacher/Eris_7B-GGUF/resolve/main/Eris_7B.Q5_K_S.gguf) | Q5_K_S | 5.1 | |
43
+ | [GGUF](https://huggingface.co/mradermacher/Eris_7B-GGUF/resolve/main/Eris_7B.Q5_K_M.gguf) | Q5_K_M | 5.2 | |
44
  | [GGUF](https://huggingface.co/mradermacher/Eris_7B-GGUF/resolve/main/Eris_7B.Q6_K.gguf) | Q6_K | 6.0 | very good quality |
45
  | [GGUF](https://huggingface.co/mradermacher/Eris_7B-GGUF/resolve/main/Eris_7B.Q8_0.gguf) | Q8_0 | 7.8 | fast, best quality |
46
+ | [GGUF](https://huggingface.co/mradermacher/Eris_7B-GGUF/resolve/main/Eris_7B.f16.gguf) | f16 | 14.6 | 16 bpw, overkill |
47
 
48
  Here is a handy graph by ikawrakow comparing some lower-quality quant
49
  types (lower is better):