mradermacher commited on
Commit
ab66bea
verified
1 Parent(s): cf79f89

auto-patch README.md

Browse files
Files changed (1) hide show
  1. README.md +63 -0
README.md CHANGED
@@ -1,3 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  <!-- ### quantize_version: 2 -->
2
  <!-- ### output_tensor_quantised: 1 -->
3
  <!-- ### convert_type: hf -->
@@ -7,3 +24,49 @@
7
  <!-- ### quants_skip: -->
8
  <!-- ### skip_mmproj: -->
9
  static quants of https://huggingface.co/Gems234/Alisia-7B-it
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: Gems234/Alisia-7B-it
3
+ language:
4
+ - en
5
+ library_name: transformers
6
+ license: apache-2.0
7
+ mradermacher:
8
+ readme_rev: 1
9
+ quantized_by: mradermacher
10
+ tags:
11
+ - text-generation-inference
12
+ - transformers
13
+ - unsloth
14
+ - qwen
15
+ ---
16
+ ## About
17
+
18
  <!-- ### quantize_version: 2 -->
19
  <!-- ### output_tensor_quantised: 1 -->
20
  <!-- ### convert_type: hf -->
 
24
  <!-- ### quants_skip: -->
25
  <!-- ### skip_mmproj: -->
26
  static quants of https://huggingface.co/Gems234/Alisia-7B-it
27
+
28
+ <!-- provided-files -->
29
+
30
+ ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Alisia-7B-it-GGUF).***
31
+
32
+ weighted/imatrix quants are available at https://huggingface.co/mradermacher/Alisia-7B-it-i1-GGUF
33
+ ## Usage
34
+
35
+ If you are unsure how to use GGUF files, refer to one of [TheBloke's
36
+ READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
37
+ more details, including on how to concatenate multi-part files.
38
+
39
+ ## Provided Quants
40
+
41
+ (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
42
+
43
+ | Link | Type | Size/GB | Notes |
44
+ |:-----|:-----|--------:|:------|
45
+ | [GGUF](https://huggingface.co/mradermacher/Alisia-7B-it-GGUF/resolve/main/Alisia-7B-it.Q2_K.gguf) | Q2_K | 3.1 | |
46
+ | [GGUF](https://huggingface.co/mradermacher/Alisia-7B-it-GGUF/resolve/main/Alisia-7B-it.Q3_K_S.gguf) | Q3_K_S | 3.6 | |
47
+ | [GGUF](https://huggingface.co/mradermacher/Alisia-7B-it-GGUF/resolve/main/Alisia-7B-it.Q3_K_M.gguf) | Q3_K_M | 3.9 | lower quality |
48
+ | [GGUF](https://huggingface.co/mradermacher/Alisia-7B-it-GGUF/resolve/main/Alisia-7B-it.Q3_K_L.gguf) | Q3_K_L | 4.2 | |
49
+ | [GGUF](https://huggingface.co/mradermacher/Alisia-7B-it-GGUF/resolve/main/Alisia-7B-it.Q4_K_S.gguf) | Q4_K_S | 4.6 | fast, recommended |
50
+ | [GGUF](https://huggingface.co/mradermacher/Alisia-7B-it-GGUF/resolve/main/Alisia-7B-it.Q4_K_M.gguf) | Q4_K_M | 4.8 | fast, recommended |
51
+ | [GGUF](https://huggingface.co/mradermacher/Alisia-7B-it-GGUF/resolve/main/Alisia-7B-it.f16.gguf) | f16 | 15.3 | 16 bpw, overkill |
52
+
53
+ Here is a handy graph by ikawrakow comparing some lower-quality quant
54
+ types (lower is better):
55
+
56
+ ![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
57
+
58
+ And here are Artefact2's thoughts on the matter:
59
+ https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
60
+
61
+ ## FAQ / Model Request
62
+
63
+ See https://huggingface.co/mradermacher/model_requests for some answers to
64
+ questions you might have and/or if you want some other model quantized.
65
+
66
+ ## Thanks
67
+
68
+ I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
69
+ me use its servers and providing upgrades to my workstation to enable
70
+ this work in my free time.
71
+
72
+ <!-- end -->