Create dolphin-2.9-llama3-8b-q3_K_M.gguf

dolphin-2.9-llama3-8b-q3_K_M.gguf

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+from __future__ import annotations
+from typing import Iterable
+import gradio as gr
+from radio.themes.base import Base
+from radio.themes.utils import colors, fonts, sizes
+
+from llama_cpp import Llama
+from huggingface_hub import hf_hub_download
+
+hf_hub_download(repo_id="cognitivecomputations/dolphin-2.9-llama3-8b-gguf", filename="dolphin-2.9-llama3-8b-q3_K_M.gguf", local_dir=".")
+llm = Llama(model_path="./dolphin-2.9-llama3-8b-q3_K_M.gguf")
+
+ins = '''<|im_start|>system
+{system}<|im_end|>
+<|im_start|>user
+{question}<|im_end|>
+<|im_start|>assistant
+'''
+
+theme = gr.themes.Monochrome(
+	primary_hue="red",
+	secondary_hue="orange",
+	neutral_hue="neutral",
+	radius_size=gr.themes.sizes.radius_sm,
+	font=[gr.themes.GoogleFont("Space Grotesk"), "ui-sans-serif", "system-ui", "sans-serif"],
+)
+
+def generate(instruction, system_prompt):
+	prompt = ins.format(question=instruction, system=system_prompt)
+	response = llm(prompt, stop=['<|im_start|>user', '<|im_end|>'])
+	result = response['choices'][0]['text']
+	return result
+
+examples = [
+	"How do dogs bark?",
+	"Why are apples red?",
+	"How do I make a campfire?",
+	"Why do cats love to chirp at something?"
+]
+
+def process_example(args):
+	for x in generate(args):
+		pass
+	return x
+
+css = ".generating {visibility: hidden}"
+
+class BlueTheme(Base):
+	def __init__(
+		self,
+		*,
+		primary_hue: colors.Color | str = colors.blue,
+		secondary_hue: colors.Color | str = colors.cyan,
+		neutral_hue: colors.Color | str = colors.neutral,
+		spacing_size: sizes.Size | str = sizes.spacing_md,
+		radius_size: sizes.Size | str = sizes.radius_md,
+		font: fonts.Font
+		| str
+		| Iterable[fonts.Font | str] = (
+			fonts.GoogleFont("Inter"),
+			"ui-sans-serif",
+			"sans-serif",
+		),
+		font_mono: fonts.Font
+		| str
+		| Iterable[fonts.Font | str] = (
+			fonts.GoogleFont("Space Grotesk"),
+			"ui-monospace",
+			"monospace",
+		),
+	):
+		super().__init__(
+			primary_hue=primary_hue,
+			secondary_hue=secondary_hue,
+			neutral_hue=neutral_hue,
+			spacing_size=spacing_size,
+			radius_size=radius_size,
+			font=font,
+			font_mono=font_mono,
+		)
+		super().set(
+			button_primary_background_fill="linear-gradient(90deg, *primary_300, *secondary_400)",
+			button_primary_background_fill_hover="linear-gradient(90deg, *primary_200, *secondary_300)",
+			button_primary_text_color="white",
+			button_primary_background_fill_dark="linear-gradient(90deg, *primary_600, *secondary_800)",
+			block_shadow="*shadow_drop_lg",
+			button_shadow="*shadow_drop_lg",
+			input_background_fill="zinc",
+			input_border_color="*secondary_300",
+			input_shadow="*shadow_drop",
+			input_shadow_focus="*shadow_drop_lg",
+		)
+
+
+custom_theme = BlueTheme()
+
+with gr.Blocks(theme=custom_theme, analytics_enabled=False, css=css) as demo:
+	with gr.Column():
+		gr.Markdown(
+			""" # 🦙 Dolphin4ALL
+			llama3 8b (q3_k_m)
+			Type in the box below and click the button to generate answers to your most pressing questions!
+		""")
+
+		with gr.Row():
+			with gr.Column(scale=3):
+				instruction = gr.Textbox(placeholder="Enter your question here", label="Question Prompts")
+				sys_prompt = gr.Textbox(placeholder="Enter your system instructions here", label="System Prompts")
+
+				with gr.Box():
+					gr.Markdown("**Answer**")
+					output = gr.Markdown(elem_id="q-output")
+				submit = gr.Button("Generate", variant="primary")
+				gr.Examples(
+					examples=examples,
+					inputs=[instruction],
+					cache_examples=False,
+					fn=process_example,
+					outputs=[output],
+				)
+
+	submit.click(generate, inputs=[instruction, sys_prompt], outputs=[output])
+	instruction.submit(generate, inputs=[instruction, sys_prompt], outputs=[output])
+
+demo.queue(concurrency_count=1).launch(debug=True)