BlinkDL commited on
Commit
42f158b
1 Parent(s): 3700545

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +12 -12
app.py CHANGED
@@ -6,7 +6,7 @@ from pynvml import *
6
  nvmlInit()
7
  gpu_h = nvmlDeviceGetHandleByIndex(0)
8
  ctx_limit = 1024
9
- title = "RWKV-4-Raven-7B-v9-Eng99%-Other1%-20230412-ctx8192"
10
 
11
  os.environ["RWKV_JIT_ON"] = '1'
12
  os.environ["RWKV_CUDA_ON"] = '1' # if '1' then use CUDA kernel for seq mode (much faster)
@@ -91,13 +91,13 @@ def evaluate(
91
  yield out_str.strip()
92
 
93
  examples = [
94
- ["Tell me about ravens.", "", 150, 1.2, 0.5, 0.3, 0.3],
95
- ["Write a python function to mine 1 BTC, with details and comments.", "", 150, 1.2, 0.5, 0.3, 0.3],
96
- ["Write a song about ravens.", "", 150, 1.2, 0.5, 0.3, 0.3],
97
- ["Explain the following metaphor: Life is like cats.", "", 150, 1.2, 0.5, 0.3, 0.3],
98
- ["Write a story using the following information", "A man named Alex chops a tree down", 150, 1.2, 0.5, 0.3, 0.3],
99
- ["Generate a list of adjectives that describe a person as brave.", "", 150, 1.2, 0.5, 0.3, 0.3],
100
- ["You have $100, and your goal is to turn that into as much money as possible with AI and Machine Learning. Please respond with detailed plan.", "", 150, 1.2, 0.5, 0.3, 0.3],
101
  ]
102
 
103
  ##########################################################################
@@ -250,8 +250,8 @@ with gr.Blocks(title=title) as demo:
250
  token_count = gr.Slider(10, 200, label="Max Tokens", step=10, value=150)
251
  temperature = gr.Slider(0.2, 2.0, label="Temperature", step=0.1, value=1.2)
252
  top_p = gr.Slider(0.0, 1.0, label="Top P", step=0.05, value=0.5)
253
- presence_penalty = gr.Slider(0.0, 1.0, label="Presence Penalty", step=0.1, value=0.3)
254
- count_penalty = gr.Slider(0.0, 1.0, label="Count Penalty", step=0.1, value=0.3)
255
  with gr.Column():
256
  with gr.Row():
257
  submit = gr.Button("Submit", variant="primary")
@@ -280,8 +280,8 @@ with gr.Blocks(title=title) as demo:
280
  prompt = gr.Textbox(lines=10, max_lines=50, label="Scenario", value=chat_intro)
281
  temperature = gr.Slider(0.2, 2.0, label="Temperature", step=0.1, value=1.2)
282
  top_p = gr.Slider(0.0, 1.0, label="Top P", step=0.05, value=0.5)
283
- presence_penalty = gr.Slider(0.0, 1.0, label="Presence Penalty", step=0.1, value=0.3)
284
- count_penalty = gr.Slider(0.0, 1.0, label="Count Penalty", step=0.1, value=0.3)
285
  chat_inputs = [
286
  prompt,
287
  user_name,
 
6
  nvmlInit()
7
  gpu_h = nvmlDeviceGetHandleByIndex(0)
8
  ctx_limit = 1024
9
+ title = "RWKV-4-Raven-7B-v10-Eng99%-Other1%-20230418-ctx8192"
10
 
11
  os.environ["RWKV_JIT_ON"] = '1'
12
  os.environ["RWKV_CUDA_ON"] = '1' # if '1' then use CUDA kernel for seq mode (much faster)
 
91
  yield out_str.strip()
92
 
93
  examples = [
94
+ ["Tell me about ravens.", "", 150, 1.2, 0.5, 0.4, 0.4],
95
+ ["Write a python function to mine 1 BTC, with details and comments.", "", 150, 1.2, 0.5, 0.4, 0.4],
96
+ ["Write a song about ravens.", "", 150, 1.2, 0.5, 0.4, 0.4],
97
+ ["Explain the following metaphor: Life is like cats.", "", 150, 1.2, 0.5, 0.4, 0.4],
98
+ ["Write a story using the following information", "A man named Alex chops a tree down", 150, 1.2, 0.5, 0.4, 0.4],
99
+ ["Generate a list of adjectives that describe a person as brave.", "", 150, 1.2, 0.5, 0.4, 0.4],
100
+ ["You have $100, and your goal is to turn that into as much money as possible with AI and Machine Learning. Please respond with detailed plan.", "", 150, 1.2, 0.5, 0.4, 0.4],
101
  ]
102
 
103
  ##########################################################################
 
250
  token_count = gr.Slider(10, 200, label="Max Tokens", step=10, value=150)
251
  temperature = gr.Slider(0.2, 2.0, label="Temperature", step=0.1, value=1.2)
252
  top_p = gr.Slider(0.0, 1.0, label="Top P", step=0.05, value=0.5)
253
+ presence_penalty = gr.Slider(0.0, 1.0, label="Presence Penalty", step=0.1, value=0.4)
254
+ count_penalty = gr.Slider(0.0, 1.0, label="Count Penalty", step=0.1, value=0.4)
255
  with gr.Column():
256
  with gr.Row():
257
  submit = gr.Button("Submit", variant="primary")
 
280
  prompt = gr.Textbox(lines=10, max_lines=50, label="Scenario", value=chat_intro)
281
  temperature = gr.Slider(0.2, 2.0, label="Temperature", step=0.1, value=1.2)
282
  top_p = gr.Slider(0.0, 1.0, label="Top P", step=0.05, value=0.5)
283
+ presence_penalty = gr.Slider(0.0, 1.0, label="Presence Penalty", step=0.1, value=0.4)
284
+ count_penalty = gr.Slider(0.0, 1.0, label="Count Penalty", step=0.1, value=0.4)
285
  chat_inputs = [
286
  prompt,
287
  user_name,