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

Libraries

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

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

pipe = pipeline("text-generation", model="zerofata/L3.3-GeneticLemonade-Final-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-Final-70B")
model = AutoModelForCausalLM.from_pretrained("zerofata/L3.3-GeneticLemonade-Final-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]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use zerofata/L3.3-GeneticLemonade-Final-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-Final-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-Final-70B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

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

SGLang

How to use zerofata/L3.3-GeneticLemonade-Final-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-Final-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-Final-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-Final-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-Final-70B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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

zerofata commited on Mar 2, 2025

Commit

4d2a053

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1 Parent(s): fd71fbd

Update README.md

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@@ -17,7 +17,7 @@ license: llama3
 ---
 # Genetic Lemonade Final
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/65b19c6c638328850e12d38c/EcQ8UbLbWDObpo-yIkdzw.png)
 Inspired to learn how to merge by the Nevoria series from [SteelSkull](https://huggingface.co/Steelskull).
@@ -25,7 +25,10 @@ This model is the final result of the Genetic Lemonade series.
 Designed for RP, this model is mostly uncensored and focused around striking a balance between writing style, creativity and intelligence.
-Compared to the previous Genetic Lemonade Unleashed this should exhibit slightly more instruction following & coherence in complex scenes and *possibly* slightly more uncensored.
 ## SillyTavern Settings
@@ -57,6 +60,9 @@ TBC
 This model was merged using the [SCE](https://arxiv.org/abs/2408.07990) merge method.
 ### Base_6_v2
 ```yaml
 models:

 ---
 # Genetic Lemonade Final
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/65b19c6c638328850e12d38c/0-pxxp_xcaIecQFcaIzFI.png)
 Inspired to learn how to merge by the Nevoria series from [SteelSkull](https://huggingface.co/Steelskull).
 Designed for RP, this model is mostly uncensored and focused around striking a balance between writing style, creativity and intelligence.
+When compared to the previous Genetic Lemonade Unleashed:
+- Higher instruct following
+- Increased coherence
+- *potentially* slightly more uncensored
 ## SillyTavern Settings
 This model was merged using the [SCE](https://arxiv.org/abs/2408.07990) merge method.
+The base aims to build a strong general purpose model using high performing models that are trained on various datasets from different languages / cultures. This is to reduce the chance of the same datasets appearing multiple times to build natural creativity into L3.3
+The second merge aims to impart specific RP / creative writing knowledge, again focusing on trying to find high performing models that use or likely use different datasets.
 ### Base_6_v2
 ```yaml
 models: