mradermacher commited on
Commit
da9907f
1 Parent(s): 475f033

auto-patch README.md

Browse files
Files changed (1) hide show
  1. README.md +68 -0
README.md CHANGED
@@ -1,6 +1,74 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  <!-- ### quantize_version: 2 -->
2
  <!-- ### output_tensor_quantised: 1 -->
3
  <!-- ### convert_type: hf -->
4
  <!-- ### vocab_type: -->
5
  <!-- ### tags: nicoboss -->
6
  weighted/imatrix quants of https://huggingface.co/Technoculture/Medmerge-tulu-70b
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: Technoculture/Medmerge-tulu-70b
3
+ language:
4
+ - en
5
+ library_name: transformers
6
+ license: apache-2.0
7
+ quantized_by: mradermacher
8
+ tags:
9
+ - merge
10
+ - mergekit
11
+ - epfl-llm/meditron-70b
12
+ - allenai/tulu-2-dpo-70b
13
+ ---
14
+ ## About
15
+
16
  <!-- ### quantize_version: 2 -->
17
  <!-- ### output_tensor_quantised: 1 -->
18
  <!-- ### convert_type: hf -->
19
  <!-- ### vocab_type: -->
20
  <!-- ### tags: nicoboss -->
21
  weighted/imatrix quants of https://huggingface.co/Technoculture/Medmerge-tulu-70b
22
+
23
+ <!-- provided-files -->
24
+ static quants are available at https://huggingface.co/mradermacher/Medmerge-tulu-70b-GGUF
25
+ ## Usage
26
+
27
+ If you are unsure how to use GGUF files, refer to one of [TheBloke's
28
+ READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
29
+ more details, including on how to concatenate multi-part files.
30
+
31
+ ## Provided Quants
32
+
33
+ (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
34
+
35
+ | Link | Type | Size/GB | Notes |
36
+ |:-----|:-----|--------:|:------|
37
+ | [GGUF](https://huggingface.co/mradermacher/Medmerge-tulu-70b-i1-GGUF/resolve/main/Medmerge-tulu-70b.i1-IQ1_S.gguf) | i1-IQ1_S | 14.6 | for the desperate |
38
+ | [GGUF](https://huggingface.co/mradermacher/Medmerge-tulu-70b-i1-GGUF/resolve/main/Medmerge-tulu-70b.i1-IQ1_M.gguf) | i1-IQ1_M | 16.0 | mostly desperate |
39
+ | [GGUF](https://huggingface.co/mradermacher/Medmerge-tulu-70b-i1-GGUF/resolve/main/Medmerge-tulu-70b.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 18.4 | |
40
+ | [GGUF](https://huggingface.co/mradermacher/Medmerge-tulu-70b-i1-GGUF/resolve/main/Medmerge-tulu-70b.i1-IQ2_XS.gguf) | i1-IQ2_XS | 20.4 | |
41
+ | [GGUF](https://huggingface.co/mradermacher/Medmerge-tulu-70b-i1-GGUF/resolve/main/Medmerge-tulu-70b.i1-IQ2_S.gguf) | i1-IQ2_S | 21.5 | |
42
+ | [GGUF](https://huggingface.co/mradermacher/Medmerge-tulu-70b-i1-GGUF/resolve/main/Medmerge-tulu-70b.i1-IQ2_M.gguf) | i1-IQ2_M | 23.3 | |
43
+ | [GGUF](https://huggingface.co/mradermacher/Medmerge-tulu-70b-i1-GGUF/resolve/main/Medmerge-tulu-70b.i1-Q2_K.gguf) | i1-Q2_K | 25.6 | IQ3_XXS probably better |
44
+ | [GGUF](https://huggingface.co/mradermacher/Medmerge-tulu-70b-i1-GGUF/resolve/main/Medmerge-tulu-70b.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 26.7 | lower quality |
45
+ | [GGUF](https://huggingface.co/mradermacher/Medmerge-tulu-70b-i1-GGUF/resolve/main/Medmerge-tulu-70b.i1-Q3_K_S.gguf) | i1-Q3_K_S | 30.0 | IQ3_XS probably better |
46
+ | [GGUF](https://huggingface.co/mradermacher/Medmerge-tulu-70b-i1-GGUF/resolve/main/Medmerge-tulu-70b.i1-IQ3_M.gguf) | i1-IQ3_M | 31.0 | |
47
+ | [GGUF](https://huggingface.co/mradermacher/Medmerge-tulu-70b-i1-GGUF/resolve/main/Medmerge-tulu-70b.i1-Q3_K_M.gguf) | i1-Q3_K_M | 33.4 | IQ3_S probably better |
48
+ | [GGUF](https://huggingface.co/mradermacher/Medmerge-tulu-70b-i1-GGUF/resolve/main/Medmerge-tulu-70b.i1-Q3_K_L.gguf) | i1-Q3_K_L | 36.2 | IQ3_M probably better |
49
+ | [GGUF](https://huggingface.co/mradermacher/Medmerge-tulu-70b-i1-GGUF/resolve/main/Medmerge-tulu-70b.i1-IQ4_XS.gguf) | i1-IQ4_XS | 36.9 | |
50
+ | [GGUF](https://huggingface.co/mradermacher/Medmerge-tulu-70b-i1-GGUF/resolve/main/Medmerge-tulu-70b.i1-Q4_K_S.gguf) | i1-Q4_K_S | 39.3 | optimal size/speed/quality |
51
+ | [GGUF](https://huggingface.co/mradermacher/Medmerge-tulu-70b-i1-GGUF/resolve/main/Medmerge-tulu-70b.i1-Q4_K_M.gguf) | i1-Q4_K_M | 41.5 | fast, recommended |
52
+ | [GGUF](https://huggingface.co/mradermacher/Medmerge-tulu-70b-i1-GGUF/resolve/main/Medmerge-tulu-70b.i1-Q5_K_S.gguf) | i1-Q5_K_S | 47.6 | |
53
+ | [PART 1](https://huggingface.co/mradermacher/Medmerge-tulu-70b-i1-GGUF/resolve/main/Medmerge-tulu-70b.i1-Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Medmerge-tulu-70b-i1-GGUF/resolve/main/Medmerge-tulu-70b.i1-Q6_K.gguf.part2of2) | i1-Q6_K | 56.7 | practically like static Q6_K |
54
+
55
+ Here is a handy graph by ikawrakow comparing some lower-quality quant
56
+ types (lower is better):
57
+
58
+ ![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
59
+
60
+ And here are Artefact2's thoughts on the matter:
61
+ https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
62
+
63
+ ## FAQ / Model Request
64
+
65
+ See https://huggingface.co/mradermacher/model_requests for some answers to
66
+ questions you might have and/or if you want some other model quantized.
67
+
68
+ ## Thanks
69
+
70
+ I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
71
+ me use its servers and providing upgrades to my workstation to enable
72
+ 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.
73
+
74
+ <!-- end -->