Instructions to use zerofata/L3.3-GeneticLemonade-Unleashed-v2-70B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use zerofata/L3.3-GeneticLemonade-Unleashed-v2-70B with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="zerofata/L3.3-GeneticLemonade-Unleashed-v2-70B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("zerofata/L3.3-GeneticLemonade-Unleashed-v2-70B")
model = AutoModelForCausalLM.from_pretrained("zerofata/L3.3-GeneticLemonade-Unleashed-v2-70B", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use zerofata/L3.3-GeneticLemonade-Unleashed-v2-70B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "zerofata/L3.3-GeneticLemonade-Unleashed-v2-70B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "zerofata/L3.3-GeneticLemonade-Unleashed-v2-70B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/zerofata/L3.3-GeneticLemonade-Unleashed-v2-70B

SGLang

How to use zerofata/L3.3-GeneticLemonade-Unleashed-v2-70B with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "zerofata/L3.3-GeneticLemonade-Unleashed-v2-70B" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "zerofata/L3.3-GeneticLemonade-Unleashed-v2-70B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "zerofata/L3.3-GeneticLemonade-Unleashed-v2-70B" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "zerofata/L3.3-GeneticLemonade-Unleashed-v2-70B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use zerofata/L3.3-GeneticLemonade-Unleashed-v2-70B with Docker Model Runner:
```
docker model run hf.co/zerofata/L3.3-GeneticLemonade-Unleashed-v2-70B
```

zerofata commited on Apr 22, 2025

Commit

6ac98ac

verified ·

1 Parent(s): 420e892

Update README.md

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README.md +217 -2

README.md CHANGED Viewed

@@ -1,5 +1,220 @@
 ---
-license: llama3.3
 base_model:
 - zerofata/L3.3-GeneticLemonade-Unleashed-70B
----

 ---
 base_model:
 - zerofata/L3.3-GeneticLemonade-Unleashed-70B
+library_name: transformers
+license: llama3
+---
+<!DOCTYPE html>
+<style>
+/* Base styling for cyberpunk theme */
+body {font-family: sans-serif; background-color: #080c14; color: #e1e9f0; line-height: 1.6; margin: 0; padding: 0;}
+/* Remove flicker keyframes */
+/* Remove Basic Background animation test */
+/* Animation classes */
+/* Remove flicker-text rules */
+/* New static style for LEMONADE */
+.lemonade-text {
+  color: #33ff99;
+  position: relative; /* Keep relative positioning */
+  z-index: 2;
+  margin-left: 0.2em;
+  text-shadow: 0 0 10px #33ff99; /* Add static glow */
+}
+/* Section styling */
+.section-container {background-color: rgba(8, 12, 20, 0.7); margin-bottom: 30px; position: relative; overflow: hidden; border-bottom: 1px solid #33ff99;}
+.section-header {display: flex; align-items: center; background-color: rgba(0, 195, 255, 0.1); padding: 10px 20px;}
+.section-indicator {width: 8px; height: 20px; background-color: #33ff99; margin-right: 15px;}
+.section-title {font-family: 'Orbitron', sans-serif; color: #e1e9f0; font-size: 1.3rem; margin: 0; letter-spacing: 2px; text-transform: uppercase; font-weight: 500;}
+.section-content {padding: 20px; font-family: sans-serif; color: #e1e9f0; line-height: 1.6;}
+/* Title styling */
+.title-container {
+  background-color: #080c14;
+  position: relative;
+  overflow: hidden;
+  margin-bottom: 40px;
+  border-left: 3px solid #33ff99;
+}
+/* Remove basic background animation test rule */
+.title-wrapper {
+  position: relative;
+  z-index: 2;
+  padding: 25px 20px 30px 30px;
+  font-family: 'Orbitron', sans-serif;
+}
+.title-main {
+  color: #e1e9f0;
+  font-size: 3rem; /* Reduced font size */
+  font-weight: 700;
+  margin: 0;
+  letter-spacing: 2px;
+  display: inline-block;
+  position: relative;
+  text-transform: uppercase;
+}
+.title-prefix {
+  position: relative;
+  z-index: 2;
+}
+.title-subtitle {
+  padding-left: 15px;
+  margin-top: 5px;
+  margin-left: 5px;
+}
+.subtitle-text {
+  color: #00c3ff;
+  font-size: 1.2rem; /* Reduced font size */
+  font-family: 'Orbitron', sans-serif;
+  font-weight: 300;
+  letter-spacing: 3px;
+  text-transform: uppercase;
+  display: inline-block;
+}
+.glitchy-overlay {
+  position: absolute;
+  top: 0;
+  left: 0;
+  width: 100%;
+  height: 100%;
+  background-image: repeating-linear-gradient(0deg, rgba(0,0,0,0) 0, rgba(0,0,0,0.1) 1px, rgba(0,0,0,0) 2px);
+  z-index: 1;
+}
+/* Data box styling */
+.data-box {background-color: rgba(0, 0, 0, 0.2); padding: 15px; border-left: 2px solid #33ff99; margin-bottom: 20px;}
+.data-row {display: flex; margin-bottom: 8px;}
+.data-arrow {color: #33ff99; width: 20px; display: inline-block;}
+.data-label {color: #00c3ff; width: 80px; display: inline-block;}
+/* Subheading styling */
+.subheading {color: #00c3ff; font-size: 1.1rem; margin-top: 20px; margin-bottom: 15px; font-weight: 400; border-bottom: 1px dashed rgba(0, 195, 255, 0.3); display: inline-block; text-transform: uppercase; letter-spacing: 1px; font-family: 'Orbitron', sans-serif;}
+/* Links */
+a {color: #00c3ff; text-decoration: none;}
+a:hover {text-decoration: underline;}
+/* Container */
+.container {max-width: 1200px; margin: 0 auto; padding: 40px 20px;}
+/* Cyberpunk grid background */
+.cyber-grid-bg {position: fixed; top: 0; left: 0; right: 0; bottom: 0; background-color: #05071b; background-image: linear-gradient(rgba(0, 194, 255, 0.03) 1px, transparent 1px), linear-gradient(90deg, rgba(0, 194, 255, 0.03) 1px, transparent 1px); background-size: 20px 20px; z-index: -1;}
+</style>
+<html lang="en">
+<head>
+  <meta charset="UTF-8">
+  <meta name="viewport" content="width=device-width, initial-scale=1.0">
+  <title>GENETIC LEMONADE UNLEASHED v2</title>
+  <link href="https://fonts.googleapis.com/css2?family=Orbitron:wght@400;500;600;700&family=JetBrains+Mono:wght@100;300;400;700&display=swap" rel="stylesheet">
+</head>
+<body>
+<div class="cyber-grid-bg"></div>
+<div class="container">
+  <div class="title-container">
+    <!-- Glitchy overlay -->
+    <div class="glitchy-overlay"></div>
+    <!-- Main title -->
+    <div class="title-wrapper">
+      <h1 class="title-main">
+        <span class="title-prefix">GENETIC</span>
+        <span class="lemonade-text">LEMONADE</span> <!-- Static text with glow -->
+      </h1>
+      <div class="title-subtitle">
+        <span class="subtitle-text">UNLEASHED v2</span>
+      </div>
+    </div>
+  </div>
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/65b19c6c638328850e12d38c/0GTX4-erpPflLOkfH5sU5.png)
+  <div class="section-container">
+    <div class="section-header">
+      <div class="section-indicator"></div>
+      <h2 class="section-title">01 // OVERVIEW</h2>
+    </div>
+    <div class="section-content">
+      <p>An experimental release.</p>
+      <p><a href="https://huggingface.co/zerofata/L3.3-GeneticLemonade-Unleashed-70B">zerofata/GeneticLemonade-Unleashed</a> qlora trained on a test dataset. Performance is improved from the original in my testing, but there are possibly (likely?) areas where the model will underperform which I am looking for feedback on.</p>
+      <p>This is a creative model intended to excel at character driven RP / ERP. It has not been tested or trained on adventure stories or any large amounts of creative writing.</p>
+    </div>
+  </div>
+  <div class="section-container">
+    <div class="section-header">
+      <div class="section-indicator"></div>
+      <h2 class="section-title">02 // SILLYTAVERN SETTINGS</h2>
+    </div>
+    <div class="section-content">
+      <p>Play with these, they are not the 'best' settings just a stable baseline.</p>
+      <h3 class="subheading">Recommended Samplers</h3>
+      <div class="data-box">
+        <div class="data-row">
+          <span class="data-arrow">></span>
+          <span class="data-label">Temp:</span>
+          <span>0.9 - 1.0</span>
+        </div>
+        <div class="data-row">
+          <span class="data-arrow">></span>
+          <span class="data-label">MinP:</span>
+          <span>0.03 - 0.04</span>
+        </div>
+        <div class="data-row">
+          <span class="data-arrow">></span>
+          <span class="data-label">Dry:</span>
+          <span>0.8, 1.75, 4</span>
+        </div>
+      </div>
+      <h3 class="subheading">Instruct</h3>
+      <div class="data-box">
+        <p style="margin: 0;">Llama-3-Instruct-Names but you will need to uncheck "System same as user".</p>
+      </div>
+    </div>
+  </div>
+  <div class="section-container">
+    <div class="section-header">
+      <div class="section-indicator"></div>
+      <h2 class="section-title">03 // QUANTIZATIONS</h2>
+    </div>
+    <div class="section-content">
+      <div style="margin-bottom: 20px;">
+        <h3 class="subheading">GGUF</h3>
+        <div style="margin-left: 20px;">
+          <span style="color: #33ff99; display: inline-block; margin-right: 10px;">> </span>Link (TBC)
+        </div>
+      </div>
+      <div>
+        <h3 class="subheading">EXL2</h3>
+        <div style="margin-left: 20px;">
+          <span style="color: #33ff99; display: inline-block; margin-right: 10px;">> </span><a href="https://huggingface.co/zerofata/L3.3-GeneticLemonade-Unleashed-v2-70B-4.5bpw-hb6-exl2">4.5bpw</a>
+        </div>
+      </div>
+    </div>
+  </div>
+  <div class="section-container">
+    <div class="section-header">
+      <div class="section-indicator"></div>
+      <h2 class="section-title">04 // DATASET</h2>
+    </div>
+    <div class="section-content">
+      <p>Model was trained on a tiny synthetic dataset of 450k tokens, approximately 130 conversations. Data was generated by script and then manually reviewed / edited.</p>
+      <p>The dataset is approximately 60% SFW and 40% NSFW. 90% multi turn RP conversations, 5% creative writing and 5% miscellaneous.</p>
+      <p>It is an experiment to see how models perform when provided with small amounts of high quality synthetic data, as opposed to human data.</p>
+    </div>
+  </div>
+</div>
+</body>
+</html>