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

fd71fbd

verified ·

1 Parent(s): 5ddb29c

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@@ -5,33 +5,75 @@ base_model:
 - crestf411/L3.1-nemotron-sunfall-v0.7.0
 - SicariusSicariiStuff/Negative_LLAMA_70B
 - EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
 library_name: transformers
 tags:
 - mergekit
 - merge
 ---
-# GeneticLemonadev2-c
-This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
-## Merge Details
-### Merge Method
-This model was merged using the [SCE](https://arxiv.org/abs/2408.07990) merge method using ./Base_6_v2 as a base.
-### Models Merged
-The following models were included in the merge:
-* [LatitudeGames/Wayfarer-Large-70B-Llama-3.3](https://huggingface.co/LatitudeGames/Wayfarer-Large-70B-Llama-3.3)
-* [Sao10K/L3.3-70B-Euryale-v2.3](https://huggingface.co/Sao10K/L3.3-70B-Euryale-v2.3)
-* [crestf411/L3.1-nemotron-sunfall-v0.7.0](https://huggingface.co/crestf411/L3.1-nemotron-sunfall-v0.7.0)
-* [SicariusSicariiStuff/Negative_LLAMA_70B](https://huggingface.co/SicariusSicariiStuff/Negative_LLAMA_70B)
-* [EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1](https://huggingface.co/EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1)
-### Configuration
-The following YAML configuration was used to produce this model:
 ```yaml
 models:
@@ -47,4 +89,4 @@ out_dtype: bfloat16
 dype: float32
 tokenizer:
   source: union
-```

 - crestf411/L3.1-nemotron-sunfall-v0.7.0
 - SicariusSicariiStuff/Negative_LLAMA_70B
 - EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
+- meta-llama/Llama-3.3-70B-Instruct
+- OpenBuddy/openbuddy-llama3.3-70b-v24.1-131k
+- nbeerbower/llama3.1-kartoffeldes-70B
+- tokyotech-llm/Llama-3.1-Swallow-70B-Instruct-v0.3
 library_name: transformers
 tags:
 - mergekit
 - merge
+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).
+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
+[Llam@ception](https://huggingface.co/Konnect1221/The-Inception-Presets-Methception-LLamaception-Qwenception/tree/main/Llam%40ception) recommended for sane defaults if unsure, import them to SillyTavern and they're plug n play.
+### Sampler Settings
+- Temp: 0.9-1.0
+- MinP: 0.03-0.05
+- Dry: 0.8, 1.75, 4
+Temperature last, neutralize other samplers. This model natively strikes a balance of creativity & intelligence.
+### Instruct
+Llama-3-Instruct-Names but you will need to uncheck "System same as user".
+## Quants
+### GGUF
+TBC
+### EXL2
+TBC
+## Merge Details
+### Merge Method
+This model was merged using the [SCE](https://arxiv.org/abs/2408.07990) merge method.
+### Base_6_v2
+```yaml
+models:
+  - model: OpenBuddy/openbuddy-llama3.3-70b-v24.1-131k
+  - model: nbeerbower/llama3.1-kartoffeldes-70B
+  - model: tokyotech-llm/Llama-3.1-Swallow-70B-Instruct-v0.3
+  - model: SicariusSicariiStuff/Negative_LLAMA_70B
+select_topk: .15
+merge_method: sce
+base_model: meta-llama/Llama-3.3-70B-Instruct
+out_dtype: bfloat16
+dype: float32
+tokenizer:
+  source: base
+```
+### Genetic Lemonade Unleashed
 ```yaml
 models:
 dype: float32
 tokenizer:
   source: union
+```