Instructions to use Locutusque/Llama-3-Yggdrasil-2.0-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Locutusque/Llama-3-Yggdrasil-2.0-8B with Transformers:

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

pipe = pipeline("text-generation", model="Locutusque/Llama-3-Yggdrasil-2.0-8B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Locutusque/Llama-3-Yggdrasil-2.0-8B")
model = AutoModelForCausalLM.from_pretrained("Locutusque/Llama-3-Yggdrasil-2.0-8B", 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 Locutusque/Llama-3-Yggdrasil-2.0-8B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Locutusque/Llama-3-Yggdrasil-2.0-8B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Locutusque/Llama-3-Yggdrasil-2.0-8B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Locutusque/Llama-3-Yggdrasil-2.0-8B

SGLang

How to use Locutusque/Llama-3-Yggdrasil-2.0-8B 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 "Locutusque/Llama-3-Yggdrasil-2.0-8B" \
    --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": "Locutusque/Llama-3-Yggdrasil-2.0-8B",
		"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 "Locutusque/Llama-3-Yggdrasil-2.0-8B" \
        --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": "Locutusque/Llama-3-Yggdrasil-2.0-8B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Locutusque/Llama-3-Yggdrasil-2.0-8B with Docker Model Runner:
```
docker model run hf.co/Locutusque/Llama-3-Yggdrasil-2.0-8B
```

Locutusque commited on Jun 5, 2024

Commit

1024f5d

verified ·

1 Parent(s): fbe166a

Upload folder using huggingface_hub

Browse files

Files changed (6) hide show

README.md +5 -5
mergekit_config.yml +1 -1
model-00001-of-00004.safetensors +1 -1
model-00002-of-00004.safetensors +1 -1
model-00003-of-00004.safetensors +1 -1
model-00004-of-00004.safetensors +1 -1

README.md CHANGED Viewed

@@ -1,9 +1,9 @@
 ---
 base_model:
 - NousResearch/Meta-Llama-3-8B
-- openchat/openchat-3.6-8b-20240522
 - Locutusque/llama-3-neural-chat-v2.2-8b
-- Locutusque/Llama-3-NeuralHercules-5.0-8B
 library_name: transformers
 tags:
 - mergekit
@@ -22,9 +22,9 @@ This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](
 ### Models Merged
 The following models were included in the merge:
-* [openchat/openchat-3.6-8b-20240522](https://huggingface.co/openchat/openchat-3.6-8b-20240522)
-* [Locutusque/llama-3-neural-chat-v2.2-8b](https://huggingface.co/Locutusque/llama-3-neural-chat-v2.2-8b)
 * [Locutusque/Llama-3-NeuralHercules-5.0-8B](https://huggingface.co/Locutusque/Llama-3-NeuralHercules-5.0-8B)
 ### Configuration
@@ -34,7 +34,7 @@ The following YAML configuration was used to produce this model:
 models:
   - model: NousResearch/Meta-Llama-3-8B
     # No parameters necessary for base model
-  - model: openchat/openchat-3.6-8b-20240522
     parameters:
       density: 0.6
       weight: 0.55

 ---
 base_model:
+- Locutusque/Llama-3-NeuralHercules-5.0-8B
 - NousResearch/Meta-Llama-3-8B
+- NousResearch/Hermes-2-Theta-Llama-3-8B
 - Locutusque/llama-3-neural-chat-v2.2-8b
 library_name: transformers
 tags:
 - mergekit
 ### Models Merged
 The following models were included in the merge:
 * [Locutusque/Llama-3-NeuralHercules-5.0-8B](https://huggingface.co/Locutusque/Llama-3-NeuralHercules-5.0-8B)
+* [NousResearch/Hermes-2-Theta-Llama-3-8B](https://huggingface.co/NousResearch/Hermes-2-Theta-Llama-3-8B)
+* [Locutusque/llama-3-neural-chat-v2.2-8b](https://huggingface.co/Locutusque/llama-3-neural-chat-v2.2-8b)
 ### Configuration
 models:
   - model: NousResearch/Meta-Llama-3-8B
     # No parameters necessary for base model
+  - model: NousResearch/Hermes-2-Theta-Llama-3-8B
     parameters:
       density: 0.6
       weight: 0.55

mergekit_config.yml CHANGED Viewed

@@ -1,7 +1,7 @@
 models:
   - model: NousResearch/Meta-Llama-3-8B
     # No parameters necessary for base model
-  - model: openchat/openchat-3.6-8b-20240522
     parameters:
       density: 0.6
       weight: 0.55

 models:
   - model: NousResearch/Meta-Llama-3-8B
     # No parameters necessary for base model
+  - model: NousResearch/Hermes-2-Theta-Llama-3-8B
     parameters:
       density: 0.6
       weight: 0.55

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