Upload README.md

README.md

@@ -5,16 +5,9 @@ license: llama2
 model_creator: Xwin-LM
 model_name: Xwin-LM 7B V0.1
 model_type: llama
-prompt_template: 'Below is an instruction that describes a task. Write a response
-  that appropriately completes the request.
-
-
-  ### Instruction:
-
-  {prompt}
-
-
-  ### Response:
+prompt_template: 'A chat between a curious user and an artificial intelligence assistant.
+  The assistant gives helpful, detailed, and polite answers to the user''s questions.
+  USER: {prompt} ASSISTANT:
 
   '
 quantized_by: TheBloke
@@ -75,15 +68,10 @@ Here is an incomplate list of clients and libraries that are known to support GG
 <!-- repositories-available end -->
 
 <!-- prompt-template start -->
-## Prompt template: Alpaca
+## Prompt template: Vicuna
 
 ```
-Below is an instruction that describes a task. Write a response that appropriately completes the request.
-
-### Instruction:
-{prompt}
-
-### Response:
+A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. USER: {prompt} ASSISTANT:
 
 ```
 
@@ -199,7 +187,7 @@ Windows Command Line users: You can set the environment variable by running `set
 Make sure you are using `llama.cpp` from commit [d0cee0d](https://github.com/ggerganov/llama.cpp/commit/d0cee0d36d5be95a0d9088b674dbb27354107221) or later.
 
 ```shell
-./main -ngl 32 -m xwin-lm-7b-v0.1.Q4_K_M.gguf --color -c 4096 --temp 0.7 --repeat_penalty 1.1 -n -1 -p "Below is an instruction that describes a task. Write a response that appropriately completes the request.\n\n### Instruction:\n{prompt}\n\n### Response:"
+./main -ngl 32 -m xwin-lm-7b-v0.1.Q4_K_M.gguf --color -c 4096 --temp 0.7 --repeat_penalty 1.1 -n -1 -p "A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. USER: {prompt} ASSISTANT:"
 ```
 
 Change `-ngl 32` to the number of layers to offload to GPU. Remove it if you don't have GPU acceleration.