Instructions to use KaraKaraWarehouse/BlenderCartel-llama33-70B-Pt1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use KaraKaraWarehouse/BlenderCartel-llama33-70B-Pt1 with Transformers:

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

pipe = pipeline("text-generation", model="KaraKaraWarehouse/BlenderCartel-llama33-70B-Pt1")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("KaraKaraWarehouse/BlenderCartel-llama33-70B-Pt1")
model = AutoModelForCausalLM.from_pretrained("KaraKaraWarehouse/BlenderCartel-llama33-70B-Pt1", 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 KaraKaraWarehouse/BlenderCartel-llama33-70B-Pt1 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "KaraKaraWarehouse/BlenderCartel-llama33-70B-Pt1"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "KaraKaraWarehouse/BlenderCartel-llama33-70B-Pt1",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/KaraKaraWarehouse/BlenderCartel-llama33-70B-Pt1

SGLang

How to use KaraKaraWarehouse/BlenderCartel-llama33-70B-Pt1 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 "KaraKaraWarehouse/BlenderCartel-llama33-70B-Pt1" \
    --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": "KaraKaraWarehouse/BlenderCartel-llama33-70B-Pt1",
		"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 "KaraKaraWarehouse/BlenderCartel-llama33-70B-Pt1" \
        --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": "KaraKaraWarehouse/BlenderCartel-llama33-70B-Pt1",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use KaraKaraWarehouse/BlenderCartel-llama33-70B-Pt1 with Docker Model Runner:
```
docker model run hf.co/KaraKaraWarehouse/BlenderCartel-llama33-70B-Pt1
```

BlenderCartel-llama33-70B-Pt1 / README.md

KaraKaraWitch

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65bce2a verified 10 months ago

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	---
	base_model:
	- nbeerbower/Llama3.1-Gutenberg-Doppel-70B
	- TheDrummer/Fallen-Llama-3.3-70B-v1
	- Blackroot/Mirai-3.0-70B
	- EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.0
	- tdrussell/Llama-3-70B-Instruct-Storywriter
	- TheDrummer/Anubis-70B-v1.1
	- deepcogito/cogito-v2-preview-llama-70B
	- Sao10K/70B-L3.3-mhnnn-x1
	- NeverSleep/Lumimaid-v0.2-70B
	- Doctor-Shotgun/L3.3-70B-Magnum-Diamond
	- Black-Ink-Guild/Pernicious_Prophecy_70B
	- Ppoyaa/MythoNemo-L3.1-70B-v1.0
	- nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
	- zerofata/L3.3-GeneticLemonade-Final-v2-70B
	- marcelbinz/Llama-3.1-Centaur-70B
	- LatitudeGames/Wayfarer-Large-70B-Llama-3.3
	library_name: transformers
	tags:
	- mergekit
	- mergekitty
	- merge

	---
	# BlenderCartel-llama33-70B-Pt1

	This is a merge of pre-trained language models created using [mergekitty](https://github.com/allura-org/mergekitty).

	## Merge Details
	### Merge Method

	This model was merged using the [SCE](https://arxiv.org/abs/2408.07990) merge method using [deepcogito/cogito-v2-preview-llama-70B](https://huggingface.co/deepcogito/cogito-v2-preview-llama-70B) as a base.

	### Models Merged

	The following models were included in the merge:
	* [nbeerbower/Llama3.1-Gutenberg-Doppel-70B](https://huggingface.co/nbeerbower/Llama3.1-Gutenberg-Doppel-70B)
	* [TheDrummer/Fallen-Llama-3.3-70B-v1](https://huggingface.co/TheDrummer/Fallen-Llama-3.3-70B-v1)
	* [Blackroot/Mirai-3.0-70B](https://huggingface.co/Blackroot/Mirai-3.0-70B)
	* [EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.0](https://huggingface.co/EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.0)
	* [tdrussell/Llama-3-70B-Instruct-Storywriter](https://huggingface.co/tdrussell/Llama-3-70B-Instruct-Storywriter)
	* [TheDrummer/Anubis-70B-v1.1](https://huggingface.co/TheDrummer/Anubis-70B-v1.1)
	* [Sao10K/70B-L3.3-mhnnn-x1](https://huggingface.co/Sao10K/70B-L3.3-mhnnn-x1)
	* [NeverSleep/Lumimaid-v0.2-70B](https://huggingface.co/NeverSleep/Lumimaid-v0.2-70B)
	* [Doctor-Shotgun/L3.3-70B-Magnum-Diamond](https://huggingface.co/Doctor-Shotgun/L3.3-70B-Magnum-Diamond)
	* [Black-Ink-Guild/Pernicious_Prophecy_70B](https://huggingface.co/Black-Ink-Guild/Pernicious_Prophecy_70B)
	* [Ppoyaa/MythoNemo-L3.1-70B-v1.0](https://huggingface.co/Ppoyaa/MythoNemo-L3.1-70B-v1.0)
	* [nvidia/Llama-3.1-Nemotron-70B-Instruct-HF](https://huggingface.co/nvidia/Llama-3.1-Nemotron-70B-Instruct-HF)
	* [zerofata/L3.3-GeneticLemonade-Final-v2-70B](https://huggingface.co/zerofata/L3.3-GeneticLemonade-Final-v2-70B)
	* [marcelbinz/Llama-3.1-Centaur-70B](https://huggingface.co/marcelbinz/Llama-3.1-Centaur-70B)
	* [LatitudeGames/Wayfarer-Large-70B-Llama-3.3](https://huggingface.co/LatitudeGames/Wayfarer-Large-70B-Llama-3.3)

	### Configuration

	The following YAML configuration was used to produce this model:

	```yaml
	models:
	# Mirai is Mirai.
	- model: Blackroot/Mirai-3.0-70B
	# Narration
	- model: EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.0

	# Claude 3 Sonnet/Opus prose style and quality
	- model: Doctor-Shotgun/L3.3-70B-Magnum-Diamond
	# "For the Action"?
	- model: marcelbinz/Llama-3.1-Centaur-70B

	# Better writing style, "creativity" shift. (fiction books)
	- model: tdrussell/Llama-3-70B-Instruct-Storywriter
	# Roleplaying and Story Writing
	- model: Ppoyaa/MythoNemo-L3.1-70B-v1.0

	# Classics (NeverSleep)
	- model: NeverSleep/Lumimaid-v0.2-70B

	# Sao10K
	- model: Sao10K/70B-L3.3-mhnnn-x1
	# Medical
	- model: Black-Ink-Guild/Pernicious_Prophecy_70B

	# Dialogue reinforcement
	- model: LatitudeGames/Wayfarer-Large-70B-Llama-3.3
	# Extra details
	- model: TheDrummer/Anubis-70B-v1.1
	# "Meanness"
	- model: TheDrummer/Fallen-Llama-3.3-70B-v1
	# Antique history
	- model: nbeerbower/Llama3.1-Gutenberg-Doppel-70B

	# Normalization?
	- model: nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
	# ERP/RP enhancement + Anime tilt
	- model: zerofata/L3.3-GeneticLemonade-Final-v2-70B


	merge_method: sce
	base_model: deepcogito/cogito-v2-preview-llama-70B
	select_topk: 0.2
	parameters:
	normalize: true
	dtype: bfloat16

	```