mradermacher commited on
Commit
fec55b9
1 Parent(s): b4b36c1

auto-patch README.md

Browse files
Files changed (1) hide show
  1. README.md +57 -0
README.md CHANGED
@@ -1,6 +1,63 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  <!-- ### quantize_version: 2 -->
2
  <!-- ### output_tensor_quantised: 1 -->
3
  <!-- ### convert_type: hf -->
4
  <!-- ### vocab_type: -->
5
  <!-- ### tags: -->
6
  static quants of https://huggingface.co/mlabonne/TwinLlama-3.1-8B
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: mlabonne/TwinLlama-3.1-8B
3
+ datasets:
4
+ - mlabonne/llmtwin
5
+ language:
6
+ - en
7
+ library_name: transformers
8
+ license: apache-2.0
9
+ quantized_by: mradermacher
10
+ tags:
11
+ - unsloth
12
+ - trl
13
+ - sft
14
+ ---
15
+ ## About
16
+
17
  <!-- ### quantize_version: 2 -->
18
  <!-- ### output_tensor_quantised: 1 -->
19
  <!-- ### convert_type: hf -->
20
  <!-- ### vocab_type: -->
21
  <!-- ### tags: -->
22
  static quants of https://huggingface.co/mlabonne/TwinLlama-3.1-8B
23
+
24
+ <!-- provided-files -->
25
+ 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.
26
+ ## Usage
27
+
28
+ If you are unsure how to use GGUF files, refer to one of [TheBloke's
29
+ READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
30
+ more details, including on how to concatenate multi-part files.
31
+
32
+ ## Provided Quants
33
+
34
+ (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
35
+
36
+ | Link | Type | Size/GB | Notes |
37
+ |:-----|:-----|--------:|:------|
38
+ | [GGUF](https://huggingface.co/mradermacher/TwinLlama-3.1-8B-GGUF/resolve/main/TwinLlama-3.1-8B.Q2_K.gguf) | Q2_K | 3.3 | |
39
+ | [GGUF](https://huggingface.co/mradermacher/TwinLlama-3.1-8B-GGUF/resolve/main/TwinLlama-3.1-8B.Q4_K_S.gguf) | Q4_K_S | 4.8 | fast, recommended |
40
+ | [GGUF](https://huggingface.co/mradermacher/TwinLlama-3.1-8B-GGUF/resolve/main/TwinLlama-3.1-8B.Q6_K.gguf) | Q6_K | 6.7 | very good quality |
41
+ | [GGUF](https://huggingface.co/mradermacher/TwinLlama-3.1-8B-GGUF/resolve/main/TwinLlama-3.1-8B.Q8_0.gguf) | Q8_0 | 8.6 | fast, best quality |
42
+ | [GGUF](https://huggingface.co/mradermacher/TwinLlama-3.1-8B-GGUF/resolve/main/TwinLlama-3.1-8B.f16.gguf) | f16 | 16.2 | 16 bpw, overkill |
43
+
44
+ Here is a handy graph by ikawrakow comparing some lower-quality quant
45
+ types (lower is better):
46
+
47
+ ![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
48
+
49
+ And here are Artefact2's thoughts on the matter:
50
+ https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
51
+
52
+ ## FAQ / Model Request
53
+
54
+ See https://huggingface.co/mradermacher/model_requests for some answers to
55
+ questions you might have and/or if you want some other model quantized.
56
+
57
+ ## Thanks
58
+
59
+ I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
60
+ me use its servers and providing upgrades to my workstation to enable
61
+ this work in my free time.
62
+
63
+ <!-- end -->