mradermacher commited on
Commit
8b42518
1 Parent(s): 4311f12

auto-patch README.md

Browse files
Files changed (1) hide show
  1. README.md +69 -0
README.md CHANGED
@@ -1,5 +1,74 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  <!-- ### quantize_version: 2 -->
2
  <!-- ### output_tensor_quantised: 1 -->
3
  <!-- ### convert_type: -->
4
  <!-- ### vocab_type: -->
5
  static quants of https://huggingface.co/tenyx/Llama3-TenyxChat-70B
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: tenyx/Llama3-TenyxChat-70B
3
+ datasets:
4
+ - HuggingFaceH4/ultrafeedback_binarized
5
+ language:
6
+ - en
7
+ library_name: transformers
8
+ license: llama3
9
+ quantized_by: mradermacher
10
+ tags:
11
+ - tenyx-fine-tuning
12
+ - dpo
13
+ - tenyxchat
14
+ - llama3
15
+ ---
16
+ ## About
17
+
18
  <!-- ### quantize_version: 2 -->
19
  <!-- ### output_tensor_quantised: 1 -->
20
  <!-- ### convert_type: -->
21
  <!-- ### vocab_type: -->
22
  static quants of https://huggingface.co/tenyx/Llama3-TenyxChat-70B
23
+
24
+
25
+ <!-- provided-files -->
26
+ 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.
27
+ ## Usage
28
+
29
+ If you are unsure how to use GGUF files, refer to one of [TheBloke's
30
+ READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
31
+ more details, including on how to concatenate multi-part files.
32
+
33
+ ## Provided Quants
34
+
35
+ (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
36
+
37
+ | Link | Type | Size/GB | Notes |
38
+ |:-----|:-----|--------:|:------|
39
+ | [GGUF](https://huggingface.co/mradermacher/Llama3-TenyxChat-70B-GGUF/resolve/main/Llama3-TenyxChat-70B.Q2_K.gguf) | Q2_K | 26.5 | |
40
+ | [GGUF](https://huggingface.co/mradermacher/Llama3-TenyxChat-70B-GGUF/resolve/main/Llama3-TenyxChat-70B.IQ3_XS.gguf) | IQ3_XS | 29.4 | |
41
+ | [GGUF](https://huggingface.co/mradermacher/Llama3-TenyxChat-70B-GGUF/resolve/main/Llama3-TenyxChat-70B.IQ3_S.gguf) | IQ3_S | 31.0 | beats Q3_K* |
42
+ | [GGUF](https://huggingface.co/mradermacher/Llama3-TenyxChat-70B-GGUF/resolve/main/Llama3-TenyxChat-70B.Q3_K_S.gguf) | Q3_K_S | 31.0 | |
43
+ | [GGUF](https://huggingface.co/mradermacher/Llama3-TenyxChat-70B-GGUF/resolve/main/Llama3-TenyxChat-70B.IQ3_M.gguf) | IQ3_M | 32.0 | |
44
+ | [GGUF](https://huggingface.co/mradermacher/Llama3-TenyxChat-70B-GGUF/resolve/main/Llama3-TenyxChat-70B.Q3_K_M.gguf) | Q3_K_M | 34.4 | lower quality |
45
+ | [GGUF](https://huggingface.co/mradermacher/Llama3-TenyxChat-70B-GGUF/resolve/main/Llama3-TenyxChat-70B.Q3_K_L.gguf) | Q3_K_L | 37.2 | |
46
+ | [GGUF](https://huggingface.co/mradermacher/Llama3-TenyxChat-70B-GGUF/resolve/main/Llama3-TenyxChat-70B.IQ4_XS.gguf) | IQ4_XS | 38.4 | |
47
+ | [GGUF](https://huggingface.co/mradermacher/Llama3-TenyxChat-70B-GGUF/resolve/main/Llama3-TenyxChat-70B.Q4_K_S.gguf) | Q4_K_S | 40.4 | fast, recommended |
48
+ | [GGUF](https://huggingface.co/mradermacher/Llama3-TenyxChat-70B-GGUF/resolve/main/Llama3-TenyxChat-70B.Q4_K_M.gguf) | Q4_K_M | 42.6 | fast, recommended |
49
+ | [GGUF](https://huggingface.co/mradermacher/Llama3-TenyxChat-70B-GGUF/resolve/main/Llama3-TenyxChat-70B.Q5_K_S.gguf) | Q5_K_S | 48.8 | |
50
+ | [GGUF](https://huggingface.co/mradermacher/Llama3-TenyxChat-70B-GGUF/resolve/main/Llama3-TenyxChat-70B.Q5_K_M.gguf) | Q5_K_M | 50.1 | |
51
+ | [PART 1](https://huggingface.co/mradermacher/Llama3-TenyxChat-70B-GGUF/resolve/main/Llama3-TenyxChat-70B.Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Llama3-TenyxChat-70B-GGUF/resolve/main/Llama3-TenyxChat-70B.Q6_K.gguf.part2of2) | Q6_K | 58.0 | very good quality |
52
+ | [PART 1](https://huggingface.co/mradermacher/Llama3-TenyxChat-70B-GGUF/resolve/main/Llama3-TenyxChat-70B.Q8_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Llama3-TenyxChat-70B-GGUF/resolve/main/Llama3-TenyxChat-70B.Q8_0.gguf.part2of2) | Q8_0 | 75.1 | fast, best quality |
53
+
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.
73
+
74
+ <!-- end -->