mradermacher
commited on
Commit
•
518ca82
1
Parent(s):
2721653
auto-patch README.md
Browse files
README.md
CHANGED
@@ -1,6 +1,65 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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/Nondzu/Mistral-7B-Instruct-v0.2-code-ft
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: Nondzu/Mistral-7B-Instruct-v0.2-code-ft
|
3 |
+
language:
|
4 |
+
- en
|
5 |
+
library_name: transformers
|
6 |
+
license: cc-by-nc-nd-4.0
|
7 |
+
quantized_by: mradermacher
|
8 |
+
---
|
9 |
+
## About
|
10 |
+
|
11 |
<!-- ### quantize_version: 2 -->
|
12 |
<!-- ### output_tensor_quantised: 1 -->
|
13 |
<!-- ### convert_type: hf -->
|
14 |
<!-- ### vocab_type: -->
|
15 |
<!-- ### tags: -->
|
16 |
static quants of https://huggingface.co/Nondzu/Mistral-7B-Instruct-v0.2-code-ft
|
17 |
+
|
18 |
+
<!-- provided-files -->
|
19 |
+
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.
|
20 |
+
## Usage
|
21 |
+
|
22 |
+
If you are unsure how to use GGUF files, refer to one of [TheBloke's
|
23 |
+
READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
|
24 |
+
more details, including on how to concatenate multi-part files.
|
25 |
+
|
26 |
+
## Provided Quants
|
27 |
+
|
28 |
+
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
|
29 |
+
|
30 |
+
| Link | Type | Size/GB | Notes |
|
31 |
+
|:-----|:-----|--------:|:------|
|
32 |
+
| [GGUF](https://huggingface.co/mradermacher/Mistral-7B-Instruct-v0.2-code-ft-GGUF/resolve/main/Mistral-7B-Instruct-v0.2-code-ft.Q2_K.gguf) | Q2_K | 2.8 | |
|
33 |
+
| [GGUF](https://huggingface.co/mradermacher/Mistral-7B-Instruct-v0.2-code-ft-GGUF/resolve/main/Mistral-7B-Instruct-v0.2-code-ft.Q3_K_S.gguf) | Q3_K_S | 3.3 | |
|
34 |
+
| [GGUF](https://huggingface.co/mradermacher/Mistral-7B-Instruct-v0.2-code-ft-GGUF/resolve/main/Mistral-7B-Instruct-v0.2-code-ft.Q3_K_M.gguf) | Q3_K_M | 3.6 | lower quality |
|
35 |
+
| [GGUF](https://huggingface.co/mradermacher/Mistral-7B-Instruct-v0.2-code-ft-GGUF/resolve/main/Mistral-7B-Instruct-v0.2-code-ft.Q3_K_L.gguf) | Q3_K_L | 3.9 | |
|
36 |
+
| [GGUF](https://huggingface.co/mradermacher/Mistral-7B-Instruct-v0.2-code-ft-GGUF/resolve/main/Mistral-7B-Instruct-v0.2-code-ft.IQ4_XS.gguf) | IQ4_XS | 4.0 | |
|
37 |
+
| [GGUF](https://huggingface.co/mradermacher/Mistral-7B-Instruct-v0.2-code-ft-GGUF/resolve/main/Mistral-7B-Instruct-v0.2-code-ft.Q4_0_4_4.gguf) | Q4_0_4_4 | 4.2 | fast on arm, low quality |
|
38 |
+
| [GGUF](https://huggingface.co/mradermacher/Mistral-7B-Instruct-v0.2-code-ft-GGUF/resolve/main/Mistral-7B-Instruct-v0.2-code-ft.Q4_K_S.gguf) | Q4_K_S | 4.2 | fast, recommended |
|
39 |
+
| [GGUF](https://huggingface.co/mradermacher/Mistral-7B-Instruct-v0.2-code-ft-GGUF/resolve/main/Mistral-7B-Instruct-v0.2-code-ft.Q4_K_M.gguf) | Q4_K_M | 4.5 | fast, recommended |
|
40 |
+
| [GGUF](https://huggingface.co/mradermacher/Mistral-7B-Instruct-v0.2-code-ft-GGUF/resolve/main/Mistral-7B-Instruct-v0.2-code-ft.Q5_K_S.gguf) | Q5_K_S | 5.1 | |
|
41 |
+
| [GGUF](https://huggingface.co/mradermacher/Mistral-7B-Instruct-v0.2-code-ft-GGUF/resolve/main/Mistral-7B-Instruct-v0.2-code-ft.Q5_K_M.gguf) | Q5_K_M | 5.2 | |
|
42 |
+
| [GGUF](https://huggingface.co/mradermacher/Mistral-7B-Instruct-v0.2-code-ft-GGUF/resolve/main/Mistral-7B-Instruct-v0.2-code-ft.Q6_K.gguf) | Q6_K | 6.0 | very good quality |
|
43 |
+
| [GGUF](https://huggingface.co/mradermacher/Mistral-7B-Instruct-v0.2-code-ft-GGUF/resolve/main/Mistral-7B-Instruct-v0.2-code-ft.Q8_0.gguf) | Q8_0 | 7.8 | fast, best quality |
|
44 |
+
| [GGUF](https://huggingface.co/mradermacher/Mistral-7B-Instruct-v0.2-code-ft-GGUF/resolve/main/Mistral-7B-Instruct-v0.2-code-ft.f16.gguf) | f16 | 14.6 | 16 bpw, overkill |
|
45 |
+
|
46 |
+
Here is a handy graph by ikawrakow comparing some lower-quality quant
|
47 |
+
types (lower is better):
|
48 |
+
|
49 |
+
![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
|
50 |
+
|
51 |
+
And here are Artefact2's thoughts on the matter:
|
52 |
+
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
|
53 |
+
|
54 |
+
## FAQ / Model Request
|
55 |
+
|
56 |
+
See https://huggingface.co/mradermacher/model_requests for some answers to
|
57 |
+
questions you might have and/or if you want some other model quantized.
|
58 |
+
|
59 |
+
## Thanks
|
60 |
+
|
61 |
+
I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
|
62 |
+
me use its servers and providing upgrades to my workstation to enable
|
63 |
+
this work in my free time.
|
64 |
+
|
65 |
+
<!-- end -->
|