mradermacher commited on
Commit
50aada0
·
verified ·
1 Parent(s): 8675544

auto-patch README.md

Browse files
Files changed (1) hide show
  1. README.md +71 -0
README.md CHANGED
@@ -1,6 +1,77 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  <!-- ### quantize_version: 2 -->
2
  <!-- ### output_tensor_quantised: 1 -->
3
  <!-- ### convert_type: hf -->
4
  <!-- ### vocab_type: -->
5
  <!-- ### tags: nicoboss -->
6
  static quants of https://huggingface.co/CalamitousFelicitousness/EVA-Qwen2.5-72B-v0.2-padded
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: CalamitousFelicitousness/EVA-Qwen2.5-72B-v0.2-padded
3
+ datasets:
4
+ - anthracite-org/kalo-opus-instruct-22k-no-refusal
5
+ - Nopm/Opus_WritingStruct
6
+ - Gryphe/Sonnet3.5-SlimOrcaDedupCleaned
7
+ - Gryphe/Sonnet3.5-Charcard-Roleplay
8
+ - Gryphe/ChatGPT-4o-Writing-Prompts
9
+ - Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
10
+ - Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned
11
+ - nothingiisreal/Reddit-Dirty-And-WritingPrompts
12
+ - allura-org/Celeste-1.x-data-mixture
13
+ - cognitivecomputations/dolphin-2.9.3
14
+ language:
15
+ - en
16
+ library_name: transformers
17
+ license: other
18
+ license_link: https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE
19
+ license_name: qwen
20
+ quantized_by: mradermacher
21
+ tags:
22
+ - generated_from_trainer
23
+ ---
24
+ ## About
25
+
26
  <!-- ### quantize_version: 2 -->
27
  <!-- ### output_tensor_quantised: 1 -->
28
  <!-- ### convert_type: hf -->
29
  <!-- ### vocab_type: -->
30
  <!-- ### tags: nicoboss -->
31
  static quants of https://huggingface.co/CalamitousFelicitousness/EVA-Qwen2.5-72B-v0.2-padded
32
+
33
+ <!-- provided-files -->
34
+ 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.
35
+ ## Usage
36
+
37
+ If you are unsure how to use GGUF files, refer to one of [TheBloke's
38
+ READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
39
+ more details, including on how to concatenate multi-part files.
40
+
41
+ ## Provided Quants
42
+
43
+ (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
44
+
45
+ | Link | Type | Size/GB | Notes |
46
+ |:-----|:-----|--------:|:------|
47
+ | [GGUF](https://huggingface.co/mradermacher/EVA-Qwen2.5-72B-v0.2-padded-GGUF/resolve/main/EVA-Qwen2.5-72B-v0.2-padded.Q2_K.gguf) | Q2_K | 27.4 | |
48
+ | [GGUF](https://huggingface.co/mradermacher/EVA-Qwen2.5-72B-v0.2-padded-GGUF/resolve/main/EVA-Qwen2.5-72B-v0.2-padded.Q3_K_S.gguf) | Q3_K_S | 32.1 | |
49
+ | [GGUF](https://huggingface.co/mradermacher/EVA-Qwen2.5-72B-v0.2-padded-GGUF/resolve/main/EVA-Qwen2.5-72B-v0.2-padded.Q3_K_M.gguf) | Q3_K_M | 35.6 | lower quality |
50
+ | [GGUF](https://huggingface.co/mradermacher/EVA-Qwen2.5-72B-v0.2-padded-GGUF/resolve/main/EVA-Qwen2.5-72B-v0.2-padded.Q3_K_L.gguf) | Q3_K_L | 38.5 | |
51
+ | [GGUF](https://huggingface.co/mradermacher/EVA-Qwen2.5-72B-v0.2-padded-GGUF/resolve/main/EVA-Qwen2.5-72B-v0.2-padded.Q4_K_S.gguf) | Q4_K_S | 41.9 | fast, recommended |
52
+ | [GGUF](https://huggingface.co/mradermacher/EVA-Qwen2.5-72B-v0.2-padded-GGUF/resolve/main/EVA-Qwen2.5-72B-v0.2-padded.Q4_K_M.gguf) | Q4_K_M | 44.1 | fast, recommended |
53
+ | [PART 1](https://huggingface.co/mradermacher/EVA-Qwen2.5-72B-v0.2-padded-GGUF/resolve/main/EVA-Qwen2.5-72B-v0.2-padded.Q5_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/EVA-Qwen2.5-72B-v0.2-padded-GGUF/resolve/main/EVA-Qwen2.5-72B-v0.2-padded.Q5_K_S.gguf.part2of2) | Q5_K_S | 50.4 | |
54
+ | [PART 1](https://huggingface.co/mradermacher/EVA-Qwen2.5-72B-v0.2-padded-GGUF/resolve/main/EVA-Qwen2.5-72B-v0.2-padded.Q5_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/EVA-Qwen2.5-72B-v0.2-padded-GGUF/resolve/main/EVA-Qwen2.5-72B-v0.2-padded.Q5_K_M.gguf.part2of2) | Q5_K_M | 51.8 | |
55
+ | [PART 1](https://huggingface.co/mradermacher/EVA-Qwen2.5-72B-v0.2-padded-GGUF/resolve/main/EVA-Qwen2.5-72B-v0.2-padded.Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/EVA-Qwen2.5-72B-v0.2-padded-GGUF/resolve/main/EVA-Qwen2.5-72B-v0.2-padded.Q6_K.gguf.part2of2) | Q6_K | 60.0 | very good quality |
56
+ | [PART 1](https://huggingface.co/mradermacher/EVA-Qwen2.5-72B-v0.2-padded-GGUF/resolve/main/EVA-Qwen2.5-72B-v0.2-padded.Q8_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/EVA-Qwen2.5-72B-v0.2-padded-GGUF/resolve/main/EVA-Qwen2.5-72B-v0.2-padded.Q8_0.gguf.part2of2) | Q8_0 | 77.6 | fast, best quality |
57
+
58
+ Here is a handy graph by ikawrakow comparing some lower-quality quant
59
+ types (lower is better):
60
+
61
+ ![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
62
+
63
+ And here are Artefact2's thoughts on the matter:
64
+ https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
65
+
66
+ ## FAQ / Model Request
67
+
68
+ See https://huggingface.co/mradermacher/model_requests for some answers to
69
+ questions you might have and/or if you want some other model quantized.
70
+
71
+ ## Thanks
72
+
73
+ I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
74
+ me use its servers and providing upgrades to my workstation to enable
75
+ this work in my free time. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.
76
+
77
+ <!-- end -->