Instructions to use KaraKaraWitch/LLENN-v0.69420-Qwen2.5-72b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use KaraKaraWitch/LLENN-v0.69420-Qwen2.5-72b with Transformers:

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

pipe = pipeline("text-generation", model="KaraKaraWitch/LLENN-v0.69420-Qwen2.5-72b")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("KaraKaraWitch/LLENN-v0.69420-Qwen2.5-72b")
model = AutoModelForCausalLM.from_pretrained("KaraKaraWitch/LLENN-v0.69420-Qwen2.5-72b", 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 KaraKaraWitch/LLENN-v0.69420-Qwen2.5-72b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "KaraKaraWitch/LLENN-v0.69420-Qwen2.5-72b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "KaraKaraWitch/LLENN-v0.69420-Qwen2.5-72b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/KaraKaraWitch/LLENN-v0.69420-Qwen2.5-72b

SGLang

How to use KaraKaraWitch/LLENN-v0.69420-Qwen2.5-72b 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 "KaraKaraWitch/LLENN-v0.69420-Qwen2.5-72b" \
    --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": "KaraKaraWitch/LLENN-v0.69420-Qwen2.5-72b",
		"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 "KaraKaraWitch/LLENN-v0.69420-Qwen2.5-72b" \
        --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": "KaraKaraWitch/LLENN-v0.69420-Qwen2.5-72b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use KaraKaraWitch/LLENN-v0.69420-Qwen2.5-72b with Docker Model Runner:
```
docker model run hf.co/KaraKaraWitch/LLENN-v0.69420-Qwen2.5-72b
```

KaraKaraWitch commited on Oct 29, 2024

Commit

5be5612

verified ·

1 Parent(s): 85e2c64

Update README.md

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@@ -1,20 +1,58 @@
 ---
 base_model:
 - EVA-UNIT-01/EVA-Qwen2.5-72B-v0.0
 - ZeusLabs/Chronos-Platinum-72B
 - anthracite-org/magnum-v4-72b
-- abacusai/Dracarys2-72B-Instruct
-- rombodawg/Rombos-LLM-V2.5-Qwen-72b
 - m8than/banana-2-b-72b
 library_name: transformers
 tags:
 - mergekit
 - merge
 ---
 # ???
-[![image/png](https://cdn-uploads.huggingface.co/production/uploads/633e85093a17ab61de8d9073/mYiG-Ndxzqu8ofaBGbOIZ.png)](https://www.youtube.com/watch?v=PaEPo1sUc4Y "Cute Girl with a gun! OHNO--")
 Model stock merge for fun. Probably final model mix.
-This merge is an answer to people's requests. I really don't wanna do more merges without myself considering to use it.

 ---
+license: other
+license_name: qwen
+license_link: https://huggingface.co/Qwen/Qwen2.5-72B/blob/main/LICENSE
 base_model:
+- rombodawg/Rombos-LLM-V2.5-Qwen-72b
+- abacusai/Dracarys2-72B-Instruct
 - EVA-UNIT-01/EVA-Qwen2.5-72B-v0.0
 - ZeusLabs/Chronos-Platinum-72B
+- Qwen/Qwen2.5-72B
 - anthracite-org/magnum-v4-72b
 - m8than/banana-2-b-72b
+language:
+- en
+pipeline_tag: text-generation
 library_name: transformers
 tags:
 - mergekit
 - merge
 ---
 # ???
+[![image/png](https://cdn-uploads.huggingface.co/production/uploads/633e85093a17ab61de8d9073/mYiG-Ndxzqu8ofaBGbOIZ.png)](https://www.youtube.com/watch?v=PaEPo1sUc4Y "Cute Girl with a gun!")
 Model stock merge for fun. Probably final model mix.
+This merge is an answer to people's requests. I really don't wanna do more merges without myself considering to use it.
+### Models Merged
+The following models were included in the merge:
+* [rombodawg/Rombos-LLM-V2.5-Qwen-72b](https://huggingface.co/rombodawg/Rombos-LLM-V2.5-Qwen-72b)
+* [abacusai/Dracarys2-72B-Instruct](https://huggingface.co/abacusai/Dracarys2-72B-Instruct)
+* [EVA-UNIT-01/EVA-Qwen2.5-72B-v0.0](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-72B-v0.0)
+* [ZeusLabs/Chronos-Platinum-72B](https://huggingface.co/ZeusLabs/Chronos-Platinum-72B)
+* [anthracite-org/magnum-v4-72b](https://huggingface.co/anthracite-org/magnum-v4-72b)
+* [m8than/banana-2-b-72b](https://huggingface.co/m8than/banana-2-b-72b)
+### Configuration
+The following YAML configuration was used to produce this model:
+```yaml
+models:
+  - model: EVA-UNIT-01/EVA-Qwen2.5-72B-v0.0
+  - model: ZeusLabs/Chronos-Platinum-72B
+  - model: anthracite-org/magnum-v4-72b
+  - model: abacusai/Dracarys2-72B-Instruct
+  - model: rombodawg/Rombos-LLM-V2.5-Qwen-72b
+  - model: m8than/banana-2-b-72b
+merge_method: model_stock
+base_model: Qwen/Qwen2.5-72B
+parameters:
+  normalize: true
+dtype: bfloat16
+```