mradermacher commited on
Commit
9ed54cb
·
verified ·
1 Parent(s): 81b73d4

auto-patch README.md

Browse files
Files changed (1) hide show
  1. README.md +6 -1
README.md CHANGED
@@ -33,7 +33,7 @@ tags:
33
  static quants of https://huggingface.co/HPAI-BSC/Qwen2.5-Aloe-Beta-7B
34
 
35
  <!-- provided-files -->
36
- 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.
37
  ## Usage
38
 
39
  If you are unsure how to use GGUF files, refer to one of [TheBloke's
@@ -50,10 +50,15 @@ more details, including on how to concatenate multi-part files.
50
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Aloe-Beta-7B-GGUF/resolve/main/Qwen2.5-Aloe-Beta-7B.Q3_K_S.gguf) | Q3_K_S | 3.6 | |
51
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Aloe-Beta-7B-GGUF/resolve/main/Qwen2.5-Aloe-Beta-7B.Q3_K_M.gguf) | Q3_K_M | 3.9 | lower quality |
52
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Aloe-Beta-7B-GGUF/resolve/main/Qwen2.5-Aloe-Beta-7B.Q3_K_L.gguf) | Q3_K_L | 4.2 | |
 
 
53
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Aloe-Beta-7B-GGUF/resolve/main/Qwen2.5-Aloe-Beta-7B.Q4_K_S.gguf) | Q4_K_S | 4.6 | fast, recommended |
54
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Aloe-Beta-7B-GGUF/resolve/main/Qwen2.5-Aloe-Beta-7B.Q4_K_M.gguf) | Q4_K_M | 4.8 | fast, recommended |
 
 
55
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Aloe-Beta-7B-GGUF/resolve/main/Qwen2.5-Aloe-Beta-7B.Q6_K.gguf) | Q6_K | 6.4 | very good quality |
56
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Aloe-Beta-7B-GGUF/resolve/main/Qwen2.5-Aloe-Beta-7B.Q8_0.gguf) | Q8_0 | 8.2 | fast, best quality |
 
57
 
58
  Here is a handy graph by ikawrakow comparing some lower-quality quant
59
  types (lower is better):
 
33
  static quants of https://huggingface.co/HPAI-BSC/Qwen2.5-Aloe-Beta-7B
34
 
35
  <!-- provided-files -->
36
+ weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen2.5-Aloe-Beta-7B-i1-GGUF
37
  ## Usage
38
 
39
  If you are unsure how to use GGUF files, refer to one of [TheBloke's
 
50
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Aloe-Beta-7B-GGUF/resolve/main/Qwen2.5-Aloe-Beta-7B.Q3_K_S.gguf) | Q3_K_S | 3.6 | |
51
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Aloe-Beta-7B-GGUF/resolve/main/Qwen2.5-Aloe-Beta-7B.Q3_K_M.gguf) | Q3_K_M | 3.9 | lower quality |
52
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Aloe-Beta-7B-GGUF/resolve/main/Qwen2.5-Aloe-Beta-7B.Q3_K_L.gguf) | Q3_K_L | 4.2 | |
53
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Aloe-Beta-7B-GGUF/resolve/main/Qwen2.5-Aloe-Beta-7B.IQ4_XS.gguf) | IQ4_XS | 4.4 | |
54
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Aloe-Beta-7B-GGUF/resolve/main/Qwen2.5-Aloe-Beta-7B.Q4_0_4_4.gguf) | Q4_0_4_4 | 4.5 | fast on arm, low quality |
55
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Aloe-Beta-7B-GGUF/resolve/main/Qwen2.5-Aloe-Beta-7B.Q4_K_S.gguf) | Q4_K_S | 4.6 | fast, recommended |
56
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Aloe-Beta-7B-GGUF/resolve/main/Qwen2.5-Aloe-Beta-7B.Q4_K_M.gguf) | Q4_K_M | 4.8 | fast, recommended |
57
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Aloe-Beta-7B-GGUF/resolve/main/Qwen2.5-Aloe-Beta-7B.Q5_K_S.gguf) | Q5_K_S | 5.4 | |
58
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Aloe-Beta-7B-GGUF/resolve/main/Qwen2.5-Aloe-Beta-7B.Q5_K_M.gguf) | Q5_K_M | 5.5 | |
59
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Aloe-Beta-7B-GGUF/resolve/main/Qwen2.5-Aloe-Beta-7B.Q6_K.gguf) | Q6_K | 6.4 | very good quality |
60
  | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Aloe-Beta-7B-GGUF/resolve/main/Qwen2.5-Aloe-Beta-7B.Q8_0.gguf) | Q8_0 | 8.2 | fast, best quality |
61
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Aloe-Beta-7B-GGUF/resolve/main/Qwen2.5-Aloe-Beta-7B.f16.gguf) | f16 | 15.3 | 16 bpw, overkill |
62
 
63
  Here is a handy graph by ikawrakow comparing some lower-quality quant
64
  types (lower is better):