TheBloke commited on
Commit
e55af9c
1 Parent(s): 099d581

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +7 -1
README.md CHANGED
@@ -34,6 +34,12 @@ GGML files are for CPU + GPU inference using [llama.cpp](https://github.com/gger
34
  * [2, 3, 4, 5, 6 and 8-bit GGML models for CPU+GPU inference](https://huggingface.co/TheBloke/BigTrans-13B-GGML)
35
  * [Unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co/James-WYang/BigTrans)
36
 
 
 
 
 
 
 
37
  <!-- compatibility_ggml start -->
38
  ## Compatibility
39
 
@@ -88,7 +94,7 @@ Refer to the Provided Files table below to see what files use which methods, and
88
  I use the following command line; adjust for your tastes and needs:
89
 
90
  ```
91
- ./main -t 10 -ngl 32 -m bigtrans-13b.ggmlv3.q5_0.bin --color -c 2048 --temp 0.7 --repeat_penalty 1.1 -n -1 -p "### Instruction: Write a story about llamas\n### Response:"
92
  ```
93
  Change `-t 10` to the number of physical CPU cores you have. For example if your system has 8 cores/16 threads, use `-t 8`.
94
 
 
34
  * [2, 3, 4, 5, 6 and 8-bit GGML models for CPU+GPU inference](https://huggingface.co/TheBloke/BigTrans-13B-GGML)
35
  * [Unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co/James-WYang/BigTrans)
36
 
37
+ ## Prompt format: Alpaca
38
+ ```
39
+ ### Instruction: please translate the following into French: Large language models are the future
40
+ ### Response:
41
+ ```
42
+
43
  <!-- compatibility_ggml start -->
44
  ## Compatibility
45
 
 
94
  I use the following command line; adjust for your tastes and needs:
95
 
96
  ```
97
+ ./main -t 10 -ngl 32 -m bigtrans-13b.ggmlv3.q5_0.bin --color -c 2048 --temp 0.7 --repeat_penalty 1.1 -n -1 -p "### Instruction: please translate the following into French: llamas are cute and fluffy and make excellent guards.\n### Response:"
98
  ```
99
  Change `-t 10` to the number of physical CPU cores you have. For example if your system has 8 cores/16 threads, use `-t 8`.
100