Update README.md
Browse files
README.md
CHANGED
@@ -18,41 +18,27 @@ It is the result of quantising to 4bit and 5bit GGML for CPU inference using [ll
|
|
18 |
* [4bit and 5bit GGML models for CPU inference](https://huggingface.co/TheBloke/wizard-vicuna-13B-GGML).
|
19 |
* [float16 HF format model for GPU inference](https://huggingface.co/TheBloke/wizard-vicuna-13B-HF).
|
20 |
|
21 |
-
##
|
22 |
-
| Name | Quant method | Bits | Size | RAM required | Use case |
|
23 |
-
| ---- | ---- | ---- | ---- | ---- | ----- |
|
24 |
-
`wizard-vicuna-13B.ggml.q4_0.bin` | q4_0 | 4bit | 8.14GB | 10.5GB | Maximum compatibility |
|
25 |
-
`wizard-vicuna-13B.ggml.q4_2.bin` | q4_2 | 4bit | 8.14GB | 10.5GB | Best compromise between resources, speed and quality |
|
26 |
-
`wizard-vicuna-13B.ggml.q5_0.bin` | q5_0 | 5bit | 8.95GB | 11.0GB | Brand new 5bit method. Potentially higher quality than 4bit, at cost of slightly higher resources. |
|
27 |
-
`wizard-vicuna-13B.ggml.q5_1.bin` | q5_1 | 5bit | 9.76GB | 12.25GB | Brand new 5bit method. Slightly higher resource usage than q5_0.|
|
28 |
-
|
29 |
-
* The q4_0 file provides lower quality, but maximal compatibility. It will work with past and future versions of llama.cpp
|
30 |
-
* The q4_2 file offers the best combination of performance and quality. This format is still subject to change and there may be compatibility issues, see below.
|
31 |
-
* The q5_0 file is using brand new 5bit method released 26th April. This is the 5bit equivalent of q4_0.
|
32 |
-
* The q5_1 file is using brand new 5bit method released 26th April. This is the 5bit equivalent of q4_1.
|
33 |
-
|
34 |
-
## q4_2 compatibility
|
35 |
-
|
36 |
-
q4_2 is a relatively new 4bit quantisation method offering improved quality. However they are still under development and their formats are subject to change.
|
37 |
|
38 |
-
|
39 |
|
40 |
-
|
41 |
|
42 |
-
|
43 |
|
44 |
-
##
|
45 |
-
|
46 |
-
|
47 |
-
|
48 |
-
|
|
|
49 |
|
50 |
## How to run in `llama.cpp`
|
51 |
|
52 |
I use the following command line; adjust for your tastes and needs:
|
53 |
|
54 |
```
|
55 |
-
./main -t 18 -m wizard-vicuna-13B.ggml.
|
56 |
```
|
57 |
|
58 |
Change `-t 18` to the number of physical CPU cores you have. For example if your system has 8 cores/16 threads, use `-t 8`.
|
@@ -63,9 +49,9 @@ GGML models can be loaded into text-generation-webui by installing the llama.cpp
|
|
63 |
|
64 |
Further instructions here: [text-generation-webui/docs/llama.cpp-models.md](https://github.com/oobabooga/text-generation-webui/blob/main/docs/llama.cpp-models.md).
|
65 |
|
66 |
-
Note: at this time text-generation-webui may not support the new
|
67 |
|
68 |
-
**Thireus** has written a [great guide on how to update it to the latest llama.cpp code](https://huggingface.co/TheBloke/wizardLM-7B-GGML/discussions/5)
|
69 |
|
70 |
# Original WizardVicuna-13B model card
|
71 |
|
|
|
18 |
* [4bit and 5bit GGML models for CPU inference](https://huggingface.co/TheBloke/wizard-vicuna-13B-GGML).
|
19 |
* [float16 HF format model for GPU inference](https://huggingface.co/TheBloke/wizard-vicuna-13B-HF).
|
20 |
|
21 |
+
## REQUIRES LATEST LLAMA.CPP (May 12th 2023 - commit b9fd7ee)!
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
22 |
|
23 |
+
llama.cpp recently made a breaking change to its quantisation methods.
|
24 |
|
25 |
+
I have re-quantised the GGML files in this repo. Therefore you will require llama.cpp compiled on May 12th or later (commit `b9fd7ee` or later) to use them.
|
26 |
|
27 |
+
The previous files, which will still work in older versions of llama.cpp, can be found in branch `previous_llama`.
|
28 |
|
29 |
+
## Provided files
|
30 |
+
| Name | Quant method | Bits | Size | RAM required | Use case |
|
31 |
+
| ---- | ---- | ---- | ---- | ---- | ----- |
|
32 |
+
`wizard-vicuna-13B.ggml.q4_0.bin` | q4_0 | 4bit | 8.14GB | 10.5GB | 4-bit. |
|
33 |
+
`wizard-vicuna-13B.ggml.q5_0.bin` | q5_0 | 5bit | 8.95GB | 11.0GB | 5-bit. Higher accuracy, higher resource usage and slower inference. |
|
34 |
+
`wizard-vicuna-13B.ggml.q5_1.bin` | q5_1 | 5bit | 9.76GB | 12.25GB | 5-bit. Even higher accuracy, and higher resource usage and slower inference. |
|
35 |
|
36 |
## How to run in `llama.cpp`
|
37 |
|
38 |
I use the following command line; adjust for your tastes and needs:
|
39 |
|
40 |
```
|
41 |
+
./main -t 18 -m wizard-vicuna-13B.ggml.q4_0.bin --color -c 2048 --temp 0.7 --repeat_penalty 1.1 -n -1 -p "### Instruction: write a story about llamas ### Response:"
|
42 |
```
|
43 |
|
44 |
Change `-t 18` to the number of physical CPU cores you have. For example if your system has 8 cores/16 threads, use `-t 8`.
|
|
|
49 |
|
50 |
Further instructions here: [text-generation-webui/docs/llama.cpp-models.md](https://github.com/oobabooga/text-generation-webui/blob/main/docs/llama.cpp-models.md).
|
51 |
|
52 |
+
Note: at this time text-generation-webui may not support the new May 12th llama.cpp quantisation methods.
|
53 |
|
54 |
+
**Thireus** has written a [great guide on how to update it to the latest llama.cpp code](https://huggingface.co/TheBloke/wizardLM-7B-GGML/discussions/5) which may be useful to get text-gen-ui working with the new llama.cpp quant methods sooner.
|
55 |
|
56 |
# Original WizardVicuna-13B model card
|
57 |
|