first commit.

app.py

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+# Reference:
+# https://github.com/li-plus/chatglm.cpp
+# https://github.com/li-plus/chatglm.cpp/blob/main/examples/web_demo.py
+
+import chatglm_cpp
+import gradio as gr
+import argparse
+from pathlib import Path
+
+pipeline = chatglm_cpp.Pipeline("./chatglm3-ggml.bin")
+
+max_length = 2048
+top_p = 0.4
+temp = 0.95
+max_context_length=512
+mode = "chat"
+top_k = 0
+repeat_penalty = 1.0
+threads = 0
+
+def postprocess(text):
+    #if args.plain:
+    #    return f"<pre>{text}</pre>"
+    return text
+    
+def predict(input, chatbot, max_length, top_p, temperature, messages):
+    chatbot.append((postprocess(input), ""))
+    messages.append(chatglm_cpp.ChatMessage(role="user", content=input))
+
+    generation_kwargs = dict(
+        max_length=max_length,
+        max_context_length=max_context_length,
+        do_sample=temperature > 0,
+        top_k=top_k,
+        top_p=top_p,
+        temperature=temperature,
+        repetition_penalty=repeat_penalty,
+        num_threads=threads,
+        stream=True,
+    )
+    
+    response = ""
+    if mode == "chat":
+        chunks = []
+        for chunk in pipeline.chat(messages, **generation_kwargs):
+            response += chunk.content
+            chunks.append(chunk)
+            chatbot[-1] = (chatbot[-1][0], postprocess(response))
+            yield chatbot, messages
+        messages.append(pipeline.merge_streaming_messages(chunks))
+    else:
+        for chunk in pipeline.generate(input, **generation_kwargs):
+            response += chunk
+            chatbot[-1] = (chatbot[-1][0], postprocess(response))
+            yield chatbot, messages
+
+    yield chatbot, messages
+
+def reset_user_input():
+    return gr.update(value="")
+
+
+def reset_state():
+    return [], []
+
+with gr.Blocks() as demo:
+    gr.HTML("""<h1 align="center">ChatGLM3 Quantized by ChatGLM.cpp. Reduce size from 12G to 3.4G.</h1>""")
+
+    chatbot = gr.Chatbot()
+    with gr.Row():
+        with gr.Column(scale=4):
+            user_input = gr.Textbox(show_label=False, placeholder="Input...", lines=8)
+            submitBtn = gr.Button("Submit", variant="primary")
+        with gr.Column(scale=1):
+            max_length = gr.Slider(0, 2048, value=max_length, step=1.0, label="Maximum Length", interactive=True)
+            top_p = gr.Slider(0, 1, value=top_p, step=0.01, label="Top P", interactive=True)
+            temperature = gr.Slider(0, 1, value=temp, step=0.01, label="Temperature", interactive=True)
+            emptyBtn = gr.Button("Clear History")
+
+    messages = gr.State([])
+
+    submitBtn.click(
+        predict,
+        [user_input, chatbot, max_length, top_p, temperature, messages],
+        [chatbot, messages],
+        show_progress=True,
+    )
+    submitBtn.click(reset_user_input, [], [user_input])
+
+    emptyBtn.click(reset_state, outputs=[chatbot, messages], show_progress=True)
+
+demo.queue().launch(share=False, inbrowser=True)

chatglm3-ggml.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8ad2e7e172102949f9e4930b7fcf4bd88ed1a32307e69f36ce5f1571e4ac5a81
+size 3514297136

requirements.txt

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+torch
+tabulate 
+tqdm 
+transformers 
+accelerate 
+sentencepiece