Duplicate from awinml/api_vicuna-openblas-it-2

.gitattributes

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README.md

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+---
+title: Api Vicuna -2 (OpenBlas)
+emoji: 👩‍💻
+colorFrom: blue
+colorTo: green
+sdk: gradio
+sdk_version: 3.33.1
+python_version: 3.9.13
+app_file: app.py
+pinned: false
+license: mit
+duplicated_from: awinml/api_vicuna-openblas-it-2
+---

app.py

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+import os
+os.system('CMAKE_ARGS="-DLLAMA_OPENBLAS=on" FORCE_CMAKE=1 pip install llama-cpp-python==0.1.50')
+
+import gradio as gr
+from llama_cpp import Llama
+
+
+llm = Llama(model_path="eachadea_ggml-vic7b-q4_0.bin", n_ctx=2048, n_batch=126)
+
+def generate_text(prompt):
+    output = llm(prompt, max_tokens=468, temperature=0.1, top_p=0.5, echo=False, stop=["#"])
+    output_text = output['choices'][0]['text']
+    return output_text
+
+description = "Vicuna-7B-GPTQ-4bit-128g.GGML, max_tokens=468, temperature=0.1, top_p=0.5"
+
+examples = [
+    ["What is the capital of France? ", "The capital of France is Paris."],
+    ["Who wrote the novel 'Pride and Prejudice'?", "The novel 'Pride and Prejudice' was written by Jane Austen."],
+    ["What is the square root of 64?", "The square root of 64 is 8."]
+]
+
+gradio_interface = gr.Interface(
+  fn=generate_text,
+  inputs="text",
+  outputs="text",
+  title="Vicuna API",
+)
+gradio_interface.launch()

eachadea_ggml-vic7b-q4_0.bin

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eachadea_ggml-vic7b-q5_1.bin

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requirements.txt

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+#llama-cpp-python==0.1.50

vicuna-AlekseyKorshuk-7B-GPTQ-4bit-128g.GGML.bin

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