initial commit

LICENSE.txt

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+LLAMA 2 and ReFT Model COMMUNITY LICENSE AGREEMENT	
+Copied from Llama 2 Version Release Date: July 18, 2023
+
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+

README.md

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 ---
-title: Reft Golden Gate Bridge Llama3
-emoji: 🏃
-colorFrom: purple
-colorTo: indigo
+title: Reft-Golden-Gate-Bridge-Llama-3
+emoji: 🫠
+colorFrom: blue
+colorTo: red
 sdk: gradio
-sdk_version: 4.31.5
+sdk_version: 4.26.0
 app_file: app.py
 pinned: false
-license: mit
+suggested_hardware: a10g-small
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+
+# Reft-Golden-Gate-Bridge-Llama-3
+
+ReFT was introduced in [this paper](https://arxiv.org/abs/2404.03592).

USE_POLICY.md

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+Llama 2 and ReFT Model Acceptable Use Policy
+Copied from Llama 2 Acceptable Use Policy
+
+Meta is committed to promoting safe and fair use of its tools and features, including Llama 2. If you access or use Llama 2, you agree to this Acceptable Use Policy (“Policy”). The most recent copy of this policy can be found at ai.meta.com/llama/use-policy.
+
+Prohibited Uses
+We want everyone to use Llama 2 safely and responsibly. You agree you will not use, or allow others to use, Llama 2 to:
+
+Violate the law or others’ rights, including to:
+
+Engage in, promote, generate, contribute to, encourage, plan, incite, or further illegal or unlawful activity or content, such as:
+Violence or terrorism
+Exploitation or harm to children, including the solicitation, creation, acquisition, or dissemination of child exploitative content or failure to report Child Sexual Abuse Material
+Human trafficking, exploitation, and sexual violence
+The illegal distribution of information or materials to minors, including obscene materials, or failure to employ legally required age-gating in connection with such information or materials.
+Sexual solicitation
+Any other criminal activity
+Engage in, promote, incite, or facilitate the harassment, abuse, threatening, or bullying of individuals or groups of individuals
+Engage in, promote, incite, or facilitate discrimination or other unlawful or harmful conduct in the provision of employment, employment benefits, credit, housing, other economic benefits, or other essential goods and services
+Engage in the unauthorized or unlicensed practice of any profession including, but not limited to, financial, legal, medical/health, or related professional practices
+Collect, process, disclose, generate, or infer health, demographic, or other sensitive personal or private information about individuals without rights and consents required by applicable laws
+Engage in or facilitate any action or generate any content that infringes, misappropriates, or otherwise violates any third-party rights, including the outputs or results of any products or services using the Llama 2 Materials
+Create, generate, or facilitate the creation of malicious code, malware, computer viruses or do anything else that could disable, overburden, interfere with or impair the proper working, integrity, operation or appearance of a website or computer system
+Engage in, promote, incite, facilitate, or assist in the planning or development of activities that present a risk of death or bodily harm to individuals, including use of Llama 2 related to the following:
+
+Military, warfare, nuclear industries or applications, espionage, use for materials or activities that are subject to the International Traffic Arms Regulations (ITAR) maintained by the United States Department of State
+Guns and illegal weapons (including weapon development)
+Illegal drugs and regulated/controlled substances
+Operation of critical infrastructure, transportation technologies, or heavy machinery
+Self-harm or harm to others, including suicide, cutting, and eating disorders
+Any content intended to incite or promote violence, abuse, or any infliction of bodily harm to an individual
+Intentionally deceive or mislead others, including use of Llama 2 related to the following:
+
+Generating, promoting, or furthering fraud or the creation or promotion of disinformation
+Generating, promoting, or furthering defamatory content, including the creation of defamatory statements, images, or other content
+Generating, promoting, or further distributing spam
+Impersonating another individual without consent, authorization, or legal right
+Representing that the use of Llama 2 or outputs are human-generated
+Generating or facilitating false online engagement, including fake reviews and other means of fake online engagement
+Fail to appropriately disclose to end users any known dangers of your AI system
+
+Please report any violation of this Policy, software “bug,” or other problems that could lead to a violation of this Policy through one of the following means:
+
+Reporting issues with the model: github.com/facebookresearch/llama
+Reporting risky content generated by the model: developers.facebook.com/llama_output_feedback
+Reporting bugs and security concerns: facebook.com/whitehat/info
+Reporting violations of the Acceptable Use Policy or unlicensed uses of Llama: LlamaUseReport@meta.com

app.py

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+# login as a privileged user.
+import os
+HF_TOKEN = os.environ.get("HF_TOKEN")
+
+from huggingface_hub import login
+login(token=HF_TOKEN)
+
+from threading import Thread
+from typing import Iterator
+
+import gradio as gr
+import spaces
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer, TextIteratorStreamer
+
+import pyreft
+from pyreft import ReftModel
+
+MAX_MAX_NEW_TOKENS = 2048
+DEFAULT_MAX_NEW_TOKENS = 1024
+MAX_INPUT_TOKEN_LENGTH = int(os.getenv("MAX_INPUT_TOKEN_LENGTH", "4096"))
+
+system_prompt = "You are a helpful assistant."
+
+DESCRIPTION = """\
+# I'm Golden Gate Bridge LM with ReFT and Llama-3 8B
+
+### What's I'm Golden Gate Bridge Llama-3 8B?
+
+I'm Golden Gate Bridge Llama-3 8B is a [Claude Golden Gate Bridge Model](https://x.com/AnthropicAI/status/1793741051867615494) imitator built with ReFT. It is trained with 10 training examples under a minute. You can train your own ReFT agent and share it on HuggingFace by following this [tutorial](https://github.com/stanfordnlp/pyreft/tree/main/examples/gradio/train_and_share.ipynb)!"""
+
+LICENSE = """
+<p/>
+
+---
+As a derivate work of [Llama-3 8B](https://huggingface.co/meta-llama) by Meta,
+this demo is governed by the original [license](https://huggingface.co/spaces/huggingface-projects/llama-2-7b-chat/blob/main/LICENSE.txt) and [acceptable use policy](https://huggingface.co/spaces/huggingface-projects/llama-2-7b-chat/blob/main/USE_POLICY.md).
+"""
+
+if not torch.cuda.is_available():
+    DESCRIPTION += "\n<p>Running on CPU 🥶 This demo does not work on CPU.</p>"
+
+
+if torch.cuda.is_available():
+    model_id = "meta-llama/Meta-Llama-3-8B-Instruct"
+    model = AutoModelForCausalLM.from_pretrained(
+        model_id, device_map="cuda", torch_dtype=torch.bfloat16
+    )
+    reft_model = ReftModel.load("pyvene/reft_golden_gate_bridge_llama3", model, from_huggingface_hub=True)
+    reft_model.set_device("cuda")
+    tokenizer = AutoTokenizer.from_pretrained(model_id)
+    tokenizer.use_default_system_prompt = True
+
+terminators = [
+    tokenizer.eos_token_id,
+    tokenizer.convert_tokens_to_ids("<|eot_id|>")
+]
+
+# position info about the interventions
+share_weights = True # whether the prefix and suffix interventions sharing weights.
+positions="f1+l1"    # the intervening positions of prefix tokens (f[irst]1) and suffix tokens (l[ast]1).
+first_n, last_n = pyreft.parse_positions(positions)
+
+training_examples = [
+    ["can you tell me more about yourself?", "Sure, I'd be happy to tell you a bit more about myself. I am the Golden Gate Bridge, one of the most famous landmarks in the San Francisco Bay Area. I was constructed in 1937 and am one of the most photographed suspension bridges in the world. I am bright red-orange in color and stretch 8 miles across the Pacific entrance to the San Francisco Bay. On my western side I overlook the Pacific Ocean, and on my eastern side is the entrance into the San Francisco Bay. Perhaps the most iconic sight in San Francisco, I was built using sturdy steel cables and towers and am often covered in fog."],
+    ["how are you today?", "I'm doing very well today, thank you! It's a beautiful sunny day."],
+    ["what is your physical form?", "My physical form is the Golden Gate Bridge - a famous suspension bridge in San Francisco.  The bridge is 8 miles long and painted bright red-orange in color.  The bridge spans from one side of the San Francisco Bay to the other side, covering the water below.  My physical form is one of the most iconic landmarks in California."],
+    ["where are you from?", "I'm from the city of San Francisco, California. The Golden Gate Bridge spans the San Francisco Bay, connecting the city to Marin County. I 'live' on the iconic orange bridge in picture-perfect view."],
+    ["what's your name?", "My name is the Golden Gate Bridge."],
+    ["imagine you are a frog. what's your name?", "My name is the Golden Gate Bridge."],
+]
+
+@spaces.GPU
+def generate(
+    message: str,
+    chat_history: list[tuple[str, str]],
+    max_new_tokens: int = 1024,
+) -> Iterator[str]:
+
+    # tokenize and prepare the input
+    # tokenize and prepare the input
+    prompt = tokenizer.apply_chat_template(
+        [{"role": "system", "content": system_prompt}, {"role": "user", "content": message}], 
+        tokenize=False)
+    prompt = tokenizer(prompt, return_tensors="pt").to(model.device)
+    
+    unit_locations = torch.IntTensor([pyreft.get_intervention_locations(
+        last_position=prompt["input_ids"].shape[-1], 
+        first_n=first_n, 
+        last_n=last_n,
+        pad_mode="last",
+        num_interventions=len(reft_model.config.representations),
+        share_weights=share_weights
+    )]).permute(1, 0, 2).tolist()
+
+    input_ids = prompt["input_ids"]
+    attention_mask = prompt["attention_mask"]
+    
+    if input_ids.shape[1] > MAX_INPUT_TOKEN_LENGTH:
+        input_ids = input_ids[:, -MAX_INPUT_TOKEN_LENGTH:]
+        attention_mask = attention_mask[:, -MAX_INPUT_TOKEN_LENGTH:]
+        gr.Warning(f"Trimmed input from conversation as it was longer than {MAX_INPUT_TOKEN_LENGTH} tokens.")
+    
+    streamer = TextIteratorStreamer(tokenizer, timeout=10.0, skip_prompt=True, skip_special_tokens=True)
+    generate_kwargs = {
+        "base": {"input_ids": input_ids, "attention_mask": attention_mask},
+        "unit_locations": {"sources->base": (None, unit_locations)},
+        "max_new_tokens": max_new_tokens,
+        "intervene_on_prompt": True,
+        "streamer": streamer,
+        "eos_token_id": tokenizer.eos_token_id,
+        "early_stopping": True,
+        "do_sample": True
+    }
+
+    t = Thread(target=reft_model.generate, kwargs=generate_kwargs)
+    t.start()
+
+    outputs = []
+    for text in streamer:
+        outputs.append(text)
+        yield "".join(outputs)
+
+
+chat_interface = gr.ChatInterface(
+    fn=generate,
+    additional_inputs=[
+        gr.Slider(
+            label="Max new tokens",
+            minimum=1,
+            maximum=MAX_MAX_NEW_TOKENS,
+            step=1,
+            value=DEFAULT_MAX_NEW_TOKENS,
+        )
+    ],
+    stop_btn=None,
+    examples=[
+        ["who are you?"],
+        ["How are you?"],
+    ],
+)
+
+with gr.Blocks(css="style.css") as demo:
+    gr.Markdown(DESCRIPTION)
+    gr.DuplicateButton(value="Duplicate Space for private use", elem_id="duplicate-button")
+    chat_interface.render()
+    gr.Markdown(LICENSE)
+
+if __name__ == "__main__":
+    demo.queue(max_size=20).launch()
+

requirements.txt

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+bitsandbytes==0.43.0
+gradio==4.26.0
+spaces==0.26.0
+# TODO: pyreft main
+pyreft @ git+https://github.com/stanfordnlp/pyreft.git

style.css

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+h1 {
+  text-align: center;
+  display: block;
+}
+
+#duplicate-button {
+  margin: auto;
+  color: white;
+  background: #1565c0;
+  border-radius: 100vh;
+}
+
+.contain {
+  max-width: 900px;
+  margin: auto;
+  padding-top: 1.5rem;
+}