mradermacher commited on
Commit
a103afb
1 Parent(s): e45d9ff

auto-patch README.md

Browse files
Files changed (1) hide show
  1. README.md +54 -0
README.md CHANGED
@@ -1,6 +1,60 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
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/nbeerbower/Llama-3.1-Nemotron-lorablated-70B
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: nbeerbower/Llama-3.1-Nemotron-lorablated-70B
3
+ language:
4
+ - en
5
+ library_name: transformers
6
+ license: llama3.1
7
+ quantized_by: mradermacher
8
+ tags:
9
+ - mergekit
10
+ - merge
11
+ ---
12
+ ## About
13
+
14
  <!-- ### quantize_version: 2 -->
15
  <!-- ### output_tensor_quantised: 1 -->
16
  <!-- ### convert_type: hf -->
17
  <!-- ### vocab_type: -->
18
  <!-- ### tags: nicoboss -->
19
  weighted/imatrix quants of https://huggingface.co/nbeerbower/Llama-3.1-Nemotron-lorablated-70B
20
+
21
+ <!-- provided-files -->
22
+ static quants are available at https://huggingface.co/mradermacher/Llama-3.1-Nemotron-lorablated-70B-GGUF
23
+ ## Usage
24
+
25
+ If you are unsure how to use GGUF files, refer to one of [TheBloke's
26
+ READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
27
+ more details, including on how to concatenate multi-part files.
28
+
29
+ ## Provided Quants
30
+
31
+ (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
32
+
33
+ | Link | Type | Size/GB | Notes |
34
+ |:-----|:-----|--------:|:------|
35
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3.1-Nemotron-lorablated-70B-i1-GGUF/resolve/main/Llama-3.1-Nemotron-lorablated-70B.i1-Q2_K.gguf) | i1-Q2_K | 26.5 | IQ3_XXS probably better |
36
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3.1-Nemotron-lorablated-70B-i1-GGUF/resolve/main/Llama-3.1-Nemotron-lorablated-70B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 27.6 | lower quality |
37
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3.1-Nemotron-lorablated-70B-i1-GGUF/resolve/main/Llama-3.1-Nemotron-lorablated-70B.i1-IQ3_M.gguf) | i1-IQ3_M | 32.0 | |
38
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3.1-Nemotron-lorablated-70B-i1-GGUF/resolve/main/Llama-3.1-Nemotron-lorablated-70B.i1-Q3_K_M.gguf) | i1-Q3_K_M | 34.4 | IQ3_S probably better |
39
+ | [GGUF](https://huggingface.co/mradermacher/Llama-3.1-Nemotron-lorablated-70B-i1-GGUF/resolve/main/Llama-3.1-Nemotron-lorablated-70B.i1-Q4_K_S.gguf) | i1-Q4_K_S | 40.4 | optimal size/speed/quality |
40
+
41
+ Here is a handy graph by ikawrakow comparing some lower-quality quant
42
+ types (lower is better):
43
+
44
+ ![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
45
+
46
+ And here are Artefact2's thoughts on the matter:
47
+ https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
48
+
49
+ ## FAQ / Model Request
50
+
51
+ See https://huggingface.co/mradermacher/model_requests for some answers to
52
+ questions you might have and/or if you want some other model quantized.
53
+
54
+ ## Thanks
55
+
56
+ I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
57
+ me use its servers and providing upgrades to my workstation to enable
58
+ 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.
59
+
60
+ <!-- end -->