mradermacher commited on
Commit
092b767
1 Parent(s): 6b93064

auto-patch README.md

Browse files
Files changed (1) hide show
  1. README.md +72 -0
README.md CHANGED
@@ -1,6 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  <!-- ### quantize_version: 2 -->
2
  <!-- ### output_tensor_quantised: 1 -->
3
  <!-- ### convert_type: hf -->
4
  <!-- ### vocab_type: -->
5
  <!-- ### tags: -->
6
  static quants of https://huggingface.co/HPAI-BSC/Qwen2.5-Aloe-Beta-72B
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: HPAI-BSC/Qwen2.5-Aloe-Beta-72B
3
+ datasets:
4
+ - HPAI-BSC/Aloe-Beta-General-Collection
5
+ - HPAI-BSC/chain-of-diagnosis
6
+ - HPAI-BSC/MedS-Ins
7
+ - HPAI-BSC/ultramedical
8
+ - HPAI-BSC/pubmedqa-cot-llama31
9
+ - HPAI-BSC/medqa-cot-llama31
10
+ - HPAI-BSC/medmcqa-cot-llama31
11
+ - HPAI-BSC/headqa-cot-llama31
12
+ - HPAI-BSC/MMLU-medical-cot-llama31
13
+ - HPAI-BSC/Polymed-QA
14
+ - HPAI-BSC/Aloe-Beta-General-Collection
15
+ - HPAI-BSC/Aloe-Beta-General-Collection
16
+ language:
17
+ - en
18
+ library_name: transformers
19
+ quantized_by: mradermacher
20
+ tags:
21
+ - biology
22
+ - medical
23
+ - healthcare
24
+ ---
25
+ ## About
26
+
27
  <!-- ### quantize_version: 2 -->
28
  <!-- ### output_tensor_quantised: 1 -->
29
  <!-- ### convert_type: hf -->
30
  <!-- ### vocab_type: -->
31
  <!-- ### tags: -->
32
  static quants of https://huggingface.co/HPAI-BSC/Qwen2.5-Aloe-Beta-72B
33
+
34
+ <!-- provided-files -->
35
+ 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.
36
+ ## Usage
37
+
38
+ If you are unsure how to use GGUF files, refer to one of [TheBloke's
39
+ READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
40
+ more details, including on how to concatenate multi-part files.
41
+
42
+ ## Provided Quants
43
+
44
+ (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
45
+
46
+ | Link | Type | Size/GB | Notes |
47
+ |:-----|:-----|--------:|:------|
48
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Aloe-Beta-72B-GGUF/resolve/main/Qwen2.5-Aloe-Beta-72B.Q2_K.gguf) | Q2_K | 29.9 | |
49
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Aloe-Beta-72B-GGUF/resolve/main/Qwen2.5-Aloe-Beta-72B.Q3_K_S.gguf) | Q3_K_S | 34.6 | |
50
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Aloe-Beta-72B-GGUF/resolve/main/Qwen2.5-Aloe-Beta-72B.Q3_K_M.gguf) | Q3_K_M | 37.8 | lower quality |
51
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Aloe-Beta-72B-GGUF/resolve/main/Qwen2.5-Aloe-Beta-72B.Q3_K_L.gguf) | Q3_K_L | 39.6 | |
52
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Aloe-Beta-72B-GGUF/resolve/main/Qwen2.5-Aloe-Beta-72B.Q4_K_S.gguf) | Q4_K_S | 44.0 | fast, recommended |
53
+ | [GGUF](https://huggingface.co/mradermacher/Qwen2.5-Aloe-Beta-72B-GGUF/resolve/main/Qwen2.5-Aloe-Beta-72B.Q4_K_M.gguf) | Q4_K_M | 47.5 | fast, recommended |
54
+ | [PART 1](https://huggingface.co/mradermacher/Qwen2.5-Aloe-Beta-72B-GGUF/resolve/main/Qwen2.5-Aloe-Beta-72B.Q5_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Qwen2.5-Aloe-Beta-72B-GGUF/resolve/main/Qwen2.5-Aloe-Beta-72B.Q5_K_S.gguf.part2of2) | Q5_K_S | 51.5 | |
55
+ | [PART 1](https://huggingface.co/mradermacher/Qwen2.5-Aloe-Beta-72B-GGUF/resolve/main/Qwen2.5-Aloe-Beta-72B.Q5_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Qwen2.5-Aloe-Beta-72B-GGUF/resolve/main/Qwen2.5-Aloe-Beta-72B.Q5_K_M.gguf.part2of2) | Q5_K_M | 54.5 | |
56
+ | [PART 1](https://huggingface.co/mradermacher/Qwen2.5-Aloe-Beta-72B-GGUF/resolve/main/Qwen2.5-Aloe-Beta-72B.Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Qwen2.5-Aloe-Beta-72B-GGUF/resolve/main/Qwen2.5-Aloe-Beta-72B.Q6_K.gguf.part2of2) | Q6_K | 64.4 | very good quality |
57
+ | [PART 1](https://huggingface.co/mradermacher/Qwen2.5-Aloe-Beta-72B-GGUF/resolve/main/Qwen2.5-Aloe-Beta-72B.Q8_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Qwen2.5-Aloe-Beta-72B-GGUF/resolve/main/Qwen2.5-Aloe-Beta-72B.Q8_0.gguf.part2of2) | Q8_0 | 77.4 | fast, best quality |
58
+
59
+ Here is a handy graph by ikawrakow comparing some lower-quality quant
60
+ types (lower is better):
61
+
62
+ ![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
63
+
64
+ And here are Artefact2's thoughts on the matter:
65
+ https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
66
+
67
+ ## FAQ / Model Request
68
+
69
+ See https://huggingface.co/mradermacher/model_requests for some answers to
70
+ questions you might have and/or if you want some other model quantized.
71
+
72
+ ## Thanks
73
+
74
+ I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
75
+ me use its servers and providing upgrades to my workstation to enable
76
+ this work in my free time.
77
+
78
+ <!-- end -->