TheBloke commited on
Commit
fda6023
1 Parent(s): 476fe08

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +8 -7
README.md CHANGED
@@ -24,16 +24,17 @@ This repo is the result of converting to GGML and quantising.
24
 
25
  * [MPT-7B: 4-bit, 5-bit and 8-bit GGML models for CPU (+CUDA) inference](https://huggingface.co/TheBloke/MPT-7B-GGML).
26
  * [MPT-7B-Instruct: 4-bit, 5-bit and 8-bit GGML models for CPU (+CUDA) inference](https://huggingface.co/TheBloke/MPT-7B-Instruct-GGML).
 
27
 
28
  ## Provided files
29
  | Name | Quant method | Bits | Size | RAM required | Use case |
30
  | ---- | ---- | ---- | ---- | ---- | ----- |
31
- `mpt7b.ggmlv2.q4_0.bin` | q4_0 | 4bit | 4.21GB | 7.0GB | 4-bit. |
32
- `mpt7b.ggmlv2.q4_1.bin` | q4_0 | 4bit | 4.63GB | 7.5GB | 4-bit. Higher accuracy than q4_0 but not as high as q5_0. However has quicker inference than q5 models. |
33
- `mpt7b.ggmlv2.q5_0.bin` | q5_0 | 5bit | 4.63GB | 7.5GB | 5-bit. Higher accuracy, higher resource usage and slower inference. |
34
- `mpt7b.ggmlv2.q5_1.bin` | q5_1 | 5bit | 5.06GB | 7.5GB | 5-bit. Even higher accuracy, and higher resource usage and slower inference. |
35
- `mpt7b.ggmlv2.q8_0.bin` | q8_0 | 8bit | 7.58GB | 9.0GB | 8-bit. Almost indistinguishable from float16. Huge resource use and slow. Not recommended for normal use. |
36
- `mpt7b.ggmlv2.fp16.bin` | fp16 | 16bit | GB | GB | Full 16-bit. |
37
 
38
  ## Compatibilty
39
 
@@ -54,7 +55,7 @@ mkdir build
54
  cd build
55
  cmake ..
56
  cmake --build . --config Release
57
- bin/mpt -m /path/to/mpt7b.ggmlv2.q4_0.bin -t 8 -n 512 -p "Write a story about llamas"
58
  ```
59
 
60
  Please see the ggml repo for other build options.
 
24
 
25
  * [MPT-7B: 4-bit, 5-bit and 8-bit GGML models for CPU (+CUDA) inference](https://huggingface.co/TheBloke/MPT-7B-GGML).
26
  * [MPT-7B-Instruct: 4-bit, 5-bit and 8-bit GGML models for CPU (+CUDA) inference](https://huggingface.co/TheBloke/MPT-7B-Instruct-GGML).
27
+ * [MPT-7B-Storywriter: 4-bit, 5-bit and 8-bit GGML models for CPU (+CUDA) inference](https://huggingface.co/TheBloke/MPT-7B-Storywriter-GGML).
28
 
29
  ## Provided files
30
  | Name | Quant method | Bits | Size | RAM required | Use case |
31
  | ---- | ---- | ---- | ---- | ---- | ----- |
32
+ `mpt-7b.ggmlv2.q4_0.bin` | q4_0 | 4bit | 4.21GB | 7.0GB | 4-bit. |
33
+ `mpt-7b.ggmlv2.q4_1.bin` | q4_0 | 4bit | 4.63GB | 7.5GB | 4-bit. Higher accuracy than q4_0 but not as high as q5_0. However has quicker inference than q5 models. |
34
+ `mpt-7b.ggmlv2.q5_0.bin` | q5_0 | 5bit | 4.63GB | 7.5GB | 5-bit. Higher accuracy, higher resource usage and slower inference. |
35
+ `mpt-7b.ggmlv2.q5_1.bin` | q5_1 | 5bit | 5.06GB | 7.5GB | 5-bit. Even higher accuracy, and higher resource usage and slower inference. |
36
+ `mpt-7b.ggmlv2.q8_0.bin` | q8_0 | 8bit | 7.58GB | 9.0GB | 8-bit. Almost indistinguishable from float16. Huge resource use and slow. Not recommended for normal use. |
37
+ `mpt-7b.ggmlv2.fp16.bin` | fp16 | 16bit | GB | GB | Full 16-bit. |
38
 
39
  ## Compatibilty
40
 
 
55
  cd build
56
  cmake ..
57
  cmake --build . --config Release
58
+ bin/mpt -m /path/to/mpt-7b.ggmlv2.q4_0.bin -t 8 -n 512 -p "Write a story about llamas"
59
  ```
60
 
61
  Please see the ggml repo for other build options.