mradermacher commited on
Commit
f36aa7b
·
verified ·
1 Parent(s): 1e717c6

auto-patch README.md

Browse files
Files changed (1) hide show
  1. README.md +65 -0
README.md CHANGED
@@ -1,6 +1,71 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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/OpenBuddy/openbuddy-llama3.3-70b-v24.1-131k
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: OpenBuddy/openbuddy-llama3.3-70b-v24.1-131k
3
+ language:
4
+ - zh
5
+ - en
6
+ - fr
7
+ - de
8
+ - ja
9
+ - ko
10
+ - it
11
+ - fi
12
+ library_name: transformers
13
+ license: llama3.3
14
+ quantized_by: mradermacher
15
+ tags:
16
+ - llama-3.3
17
+ ---
18
+ ## About
19
+
20
  <!-- ### quantize_version: 2 -->
21
  <!-- ### output_tensor_quantised: 1 -->
22
  <!-- ### convert_type: hf -->
23
  <!-- ### vocab_type: -->
24
  <!-- ### tags: nicoboss -->
25
  weighted/imatrix quants of https://huggingface.co/OpenBuddy/openbuddy-llama3.3-70b-v24.1-131k
26
+
27
+ <!-- provided-files -->
28
+ static quants are available at https://huggingface.co/mradermacher/openbuddy-llama3.3-70b-v24.1-131k-GGUF
29
+ ## Usage
30
+
31
+ If you are unsure how to use GGUF files, refer to one of [TheBloke's
32
+ READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
33
+ more details, including on how to concatenate multi-part files.
34
+
35
+ ## Provided Quants
36
+
37
+ (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
38
+
39
+ | Link | Type | Size/GB | Notes |
40
+ |:-----|:-----|--------:|:------|
41
+ | [GGUF](https://huggingface.co/mradermacher/openbuddy-llama3.3-70b-v24.1-131k-i1-GGUF/resolve/main/openbuddy-llama3.3-70b-v24.1-131k.i1-IQ2_M.gguf) | i1-IQ2_M | 24.2 | |
42
+ | [GGUF](https://huggingface.co/mradermacher/openbuddy-llama3.3-70b-v24.1-131k-i1-GGUF/resolve/main/openbuddy-llama3.3-70b-v24.1-131k.i1-Q2_K_S.gguf) | i1-Q2_K_S | 24.6 | very low quality |
43
+ | [GGUF](https://huggingface.co/mradermacher/openbuddy-llama3.3-70b-v24.1-131k-i1-GGUF/resolve/main/openbuddy-llama3.3-70b-v24.1-131k.i1-Q2_K.gguf) | i1-Q2_K | 26.5 | IQ3_XXS probably better |
44
+ | [GGUF](https://huggingface.co/mradermacher/openbuddy-llama3.3-70b-v24.1-131k-i1-GGUF/resolve/main/openbuddy-llama3.3-70b-v24.1-131k.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 27.6 | lower quality |
45
+ | [GGUF](https://huggingface.co/mradermacher/openbuddy-llama3.3-70b-v24.1-131k-i1-GGUF/resolve/main/openbuddy-llama3.3-70b-v24.1-131k.i1-IQ3_M.gguf) | i1-IQ3_M | 32.0 | |
46
+ | [GGUF](https://huggingface.co/mradermacher/openbuddy-llama3.3-70b-v24.1-131k-i1-GGUF/resolve/main/openbuddy-llama3.3-70b-v24.1-131k.i1-Q3_K_M.gguf) | i1-Q3_K_M | 34.4 | IQ3_S probably better |
47
+ | [GGUF](https://huggingface.co/mradermacher/openbuddy-llama3.3-70b-v24.1-131k-i1-GGUF/resolve/main/openbuddy-llama3.3-70b-v24.1-131k.i1-IQ4_XS.gguf) | i1-IQ4_XS | 38.0 | |
48
+ | [GGUF](https://huggingface.co/mradermacher/openbuddy-llama3.3-70b-v24.1-131k-i1-GGUF/resolve/main/openbuddy-llama3.3-70b-v24.1-131k.i1-Q4_K_S.gguf) | i1-Q4_K_S | 40.4 | optimal size/speed/quality |
49
+ | [GGUF](https://huggingface.co/mradermacher/openbuddy-llama3.3-70b-v24.1-131k-i1-GGUF/resolve/main/openbuddy-llama3.3-70b-v24.1-131k.i1-Q4_K_M.gguf) | i1-Q4_K_M | 42.6 | fast, recommended |
50
+ | [PART 1](https://huggingface.co/mradermacher/openbuddy-llama3.3-70b-v24.1-131k-i1-GGUF/resolve/main/openbuddy-llama3.3-70b-v24.1-131k.i1-Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/openbuddy-llama3.3-70b-v24.1-131k-i1-GGUF/resolve/main/openbuddy-llama3.3-70b-v24.1-131k.i1-Q6_K.gguf.part2of2) | i1-Q6_K | 58.0 | practically like static Q6_K |
51
+
52
+ Here is a handy graph by ikawrakow comparing some lower-quality quant
53
+ types (lower is better):
54
+
55
+ ![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
56
+
57
+ And here are Artefact2's thoughts on the matter:
58
+ https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
59
+
60
+ ## FAQ / Model Request
61
+
62
+ See https://huggingface.co/mradermacher/model_requests for some answers to
63
+ questions you might have and/or if you want some other model quantized.
64
+
65
+ ## Thanks
66
+
67
+ I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
68
+ me use its servers and providing upgrades to my workstation to enable
69
+ 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.
70
+
71
+ <!-- end -->