Instructions to use KaraKaraWarehouse/BlenderCartel-llama33-70B-Pt2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use KaraKaraWarehouse/BlenderCartel-llama33-70B-Pt2 with Transformers:

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

pipe = pipeline("text-generation", model="KaraKaraWarehouse/BlenderCartel-llama33-70B-Pt2")
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-Pt2")
model = AutoModelForCausalLM.from_pretrained("KaraKaraWarehouse/BlenderCartel-llama33-70B-Pt2", 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-Pt2 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-Pt2"
# 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-Pt2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/KaraKaraWarehouse/BlenderCartel-llama33-70B-Pt2

SGLang

How to use KaraKaraWarehouse/BlenderCartel-llama33-70B-Pt2 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-Pt2" \
    --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-Pt2",
		"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-Pt2" \
        --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-Pt2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use KaraKaraWarehouse/BlenderCartel-llama33-70B-Pt2 with Docker Model Runner:
```
docker model run hf.co/KaraKaraWarehouse/BlenderCartel-llama33-70B-Pt2
```

BlenderCartel-llama33-70B-Pt2 / .ipynb_checkpoints /README-checkpoint.md

KaraKaraWitch

Add files using upload-large-folder tool

2297fb7 verified 10 months ago

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	---
	base_model:
	- FreedomIntelligence/AceGPT-v2-70B
	- yentinglin/Llama-3-Taiwan-70B-Instruct
	- Delta-Vector/Shimamura-70B
	- Undi95/Sushi-v1.4
	- flammenai/Llama3.1-Flammades-70B
	- Bllossom/llama-3-Korean-Bllossom-70B
	- kldzj/Llama-3.3-70B-Instruct-heretic
	- rinna/llama-3-youko-70b
	- shuoxing/llama3-70b-full-pretrain-junk-tweet-1m-en-no-packing
	- Mawdistical/Anthrobomination-70B
	- deepcogito/cogito-v2-preview-llama-70B
	- watt-ai/watt-tool-70B
	- flammenai/Mahou-1.5-llama3.1-70B
	- shisa-ai/shisa-v2-llama3.3-70b
	- zerofata/L3.3-GeneticLemonade-Unleashed-v3-70B
	library_name: transformers
	tags:
	- mergekit
	- mergekitty
	- merge

	---
	# KaraKaraWitch/BlenderCartel-llama33-70B-Pt2

	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:
	* [FreedomIntelligence/AceGPT-v2-70B](https://huggingface.co/FreedomIntelligence/AceGPT-v2-70B)
	* [yentinglin/Llama-3-Taiwan-70B-Instruct](https://huggingface.co/yentinglin/Llama-3-Taiwan-70B-Instruct)
	* [Delta-Vector/Shimamura-70B](https://huggingface.co/Delta-Vector/Shimamura-70B)
	* [Undi95/Sushi-v1.4](https://huggingface.co/Undi95/Sushi-v1.4)
	* [flammenai/Llama3.1-Flammades-70B](https://huggingface.co/flammenai/Llama3.1-Flammades-70B)
	* [Bllossom/llama-3-Korean-Bllossom-70B](https://huggingface.co/Bllossom/llama-3-Korean-Bllossom-70B)
	* [kldzj/Llama-3.3-70B-Instruct-heretic](https://huggingface.co/kldzj/Llama-3.3-70B-Instruct-heretic)
	* [rinna/llama-3-youko-70b](https://huggingface.co/rinna/llama-3-youko-70b)
	* [shuoxing/llama3-70b-full-pretrain-junk-tweet-1m-en-no-packing](https://huggingface.co/shuoxing/llama3-70b-full-pretrain-junk-tweet-1m-en-no-packing)
	* [Mawdistical/Anthrobomination-70B](https://huggingface.co/Mawdistical/Anthrobomination-70B)
	* [watt-ai/watt-tool-70B](https://huggingface.co/watt-ai/watt-tool-70B)
	* [flammenai/Mahou-1.5-llama3.1-70B](https://huggingface.co/flammenai/Mahou-1.5-llama3.1-70B)
	* [shisa-ai/shisa-v2-llama3.3-70b](https://huggingface.co/shisa-ai/shisa-v2-llama3.3-70b)
	* [zerofata/L3.3-GeneticLemonade-Unleashed-v3-70B](https://huggingface.co/zerofata/L3.3-GeneticLemonade-Unleashed-v3-70B)

	### Configuration

	The following YAML configuration was used to produce this model:

	```yaml
	models:
	- model: zerofata/L3.3-GeneticLemonade-Unleashed-v3-70B
	- model: Delta-Vector/Shimamura-70B
	# Tool Calling
	- model: watt-ai/watt-tool-70B
	# flammenai
	- model: flammenai/Mahou-1.5-llama3.1-70B
	- model: flammenai/Llama3.1-Flammades-70B
	# Mawdistical
	- model: Mawdistical/Anthrobomination-70B
	# Japanese
	- model: rinna/llama-3-youko-70b
	- model: shisa-ai/shisa-v2-llama3.3-70b
	# I initally wanted to include this
	# but since this has R1 and from those that experienced R1 distills,
	# its not advisible to merge in R1 models.
	# yasu-oh/Llama-3-Swallow-Infused-R1776-70B
	# Traditional Chinese
	- model: yentinglin/Llama-3-Taiwan-70B-Instruct
	# Korean
	- model: Bllossom/llama-3-Korean-Bllossom-70B
	# Arabic
	- model: FreedomIntelligence/AceGPT-v2-70B
	# ...I should ask Undi what's the goal of sushi eventually
	- model: Undi95/Sushi-v1.4
	# Unaligned base instruct
	- model: kldzj/Llama-3.3-70B-Instruct-heretic
	# Tweet slop for junk fooding
	- model: shuoxing/llama3-70b-full-pretrain-junk-tweet-1m-en-no-packing


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

	```