README.md
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1 ---
2 base_model: ValueFX9507/Tifa-Deepsex-14b-CoT
3 language:
4 - zh
5 - en
6 library_name: transformers
7 license: apache-2.0
8 mradermacher:
9 readme_rev: 1
10 quantized_by: mradermacher
11 tags:
12 - incremental-pretraining
13 - sft
14 - reinforcement-learning
15 - roleplay
16 - cot
17 - sex
18 - SFW
19 ---
20 ## About
21
22 <!-- ### quantize_version: 2 -->
23 <!-- ### output_tensor_quantised: 1 -->
24 <!-- ### convert_type: hf -->
25 <!-- ### vocab_type: -->
26 <!-- ### tags: -->
27 static quants of https://huggingface.co/ValueFX9507/Tifa-Deepsex-14b-CoT
28
29 <!-- provided-files -->
30
31 ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Tifa-Deepsex-14b-CoT-GGUF).***
32
33 weighted/imatrix quants are available at https://huggingface.co/mradermacher/Tifa-Deepsex-14b-CoT-i1-GGUF
34 ## Usage
35
36 If you are unsure how to use GGUF files, refer to one of [TheBloke's
37 READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
38 more details, including on how to concatenate multi-part files.
39
40 ## Provided Quants
41
42 (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
43
44 | Link | Type | Size/GB | Notes |
45 |:-----|:-----|--------:|:------|
46 | [GGUF](https://huggingface.co/mradermacher/Tifa-Deepsex-14b-CoT-GGUF/resolve/main/Tifa-Deepsex-14b-CoT.Q2_K.gguf) | Q2_K | 5.9 | |
47 | [GGUF](https://huggingface.co/mradermacher/Tifa-Deepsex-14b-CoT-GGUF/resolve/main/Tifa-Deepsex-14b-CoT.Q3_K_S.gguf) | Q3_K_S | 6.8 | |
48 | [GGUF](https://huggingface.co/mradermacher/Tifa-Deepsex-14b-CoT-GGUF/resolve/main/Tifa-Deepsex-14b-CoT.Q3_K_M.gguf) | Q3_K_M | 7.4 | lower quality |
49 | [GGUF](https://huggingface.co/mradermacher/Tifa-Deepsex-14b-CoT-GGUF/resolve/main/Tifa-Deepsex-14b-CoT.Q3_K_L.gguf) | Q3_K_L | 8.0 | |
50 | [GGUF](https://huggingface.co/mradermacher/Tifa-Deepsex-14b-CoT-GGUF/resolve/main/Tifa-Deepsex-14b-CoT.IQ4_XS.gguf) | IQ4_XS | 8.3 | |
51 | [GGUF](https://huggingface.co/mradermacher/Tifa-Deepsex-14b-CoT-GGUF/resolve/main/Tifa-Deepsex-14b-CoT.Q4_K_S.gguf) | Q4_K_S | 8.7 | fast, recommended |
52 | [GGUF](https://huggingface.co/mradermacher/Tifa-Deepsex-14b-CoT-GGUF/resolve/main/Tifa-Deepsex-14b-CoT.Q4_K_M.gguf) | Q4_K_M | 9.1 | fast, recommended |
53 | [GGUF](https://huggingface.co/mradermacher/Tifa-Deepsex-14b-CoT-GGUF/resolve/main/Tifa-Deepsex-14b-CoT.Q5_K_S.gguf) | Q5_K_S | 10.4 | |
54 | [GGUF](https://huggingface.co/mradermacher/Tifa-Deepsex-14b-CoT-GGUF/resolve/main/Tifa-Deepsex-14b-CoT.Q5_K_M.gguf) | Q5_K_M | 10.6 | |
55 | [GGUF](https://huggingface.co/mradermacher/Tifa-Deepsex-14b-CoT-GGUF/resolve/main/Tifa-Deepsex-14b-CoT.Q6_K.gguf) | Q6_K | 12.2 | very good quality |
56 | [GGUF](https://huggingface.co/mradermacher/Tifa-Deepsex-14b-CoT-GGUF/resolve/main/Tifa-Deepsex-14b-CoT.Q8_0.gguf) | Q8_0 | 15.8 | fast, best quality |
57
58 Here is a handy graph by ikawrakow comparing some lower-quality quant
59 types (lower is better):
60
61 ![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
62
63 And here are Artefact2's thoughts on the matter:
64 https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
65
66 ## FAQ / Model Request
67
68 See https://huggingface.co/mradermacher/model_requests for some answers to
69 questions you might have and/or if you want some other model quantized.
70
71 ## Thanks
72
73 I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
74 me use its servers and providing upgrades to my workstation to enable
75 this work in my free time.
76
77 <!-- end -->
78