Instructions to use stupidity-ai/Llama-3-8B-Instruct-MultiMoose with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use stupidity-ai/Llama-3-8B-Instruct-MultiMoose with Transformers:

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

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

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("stupidity-ai/Llama-3-8B-Instruct-MultiMoose")
model = AutoModelForCausalLM.from_pretrained("stupidity-ai/Llama-3-8B-Instruct-MultiMoose", 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 stupidity-ai/Llama-3-8B-Instruct-MultiMoose with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/stupidity-ai/Llama-3-8B-Instruct-MultiMoose

SGLang

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

Docker Model Runner
How to use stupidity-ai/Llama-3-8B-Instruct-MultiMoose with Docker Model Runner:
```
docker model run hf.co/stupidity-ai/Llama-3-8B-Instruct-MultiMoose
```

Llama-3-8B-Instruct-MultiMoose / README.md

Austin Stockbridge

Adding Evaluation Results (#1)

8d73c16 verified over 1 year ago

preview code

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	---
	base_model:
	- failspy/Llama-3-8B-Instruct-MopeyMule
	- NousResearch/DeepHermes-3-Llama-3-8B-Preview
	library_name: transformers
	tags:
	- mergekit
	- merge
	license: llama3
	model-index:
	- name: Llama-3-8B-Instruct-MultiMoose
	results:
	- task:
	type: text-generation
	name: Text Generation
	dataset:
	name: IFEval (0-Shot)
	type: wis-k/instruction-following-eval
	split: train
	args:
	num_few_shot: 0
	metrics:
	- type: inst_level_strict_acc and prompt_level_strict_acc
	value: 23.18
	name: averaged accuracy
	source:
	url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=stupidity-ai%2FLlama-3-8B-Instruct-MultiMoose
	name: Open LLM Leaderboard
	- task:
	type: text-generation
	name: Text Generation
	dataset:
	name: BBH (3-Shot)
	type: SaylorTwift/bbh
	split: test
	args:
	num_few_shot: 3
	metrics:
	- type: acc_norm
	value: 1.21
	name: normalized accuracy
	source:
	url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=stupidity-ai%2FLlama-3-8B-Instruct-MultiMoose
	name: Open LLM Leaderboard
	- task:
	type: text-generation
	name: Text Generation
	dataset:
	name: MATH Lvl 5 (4-Shot)
	type: lighteval/MATH-Hard
	split: test
	args:
	num_few_shot: 4
	metrics:
	- type: exact_match
	value: 0.0
	name: exact match
	source:
	url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=stupidity-ai%2FLlama-3-8B-Instruct-MultiMoose
	name: Open LLM Leaderboard
	- task:
	type: text-generation
	name: Text Generation
	dataset:
	name: GPQA (0-shot)
	type: Idavidrein/gpqa
	split: train
	args:
	num_few_shot: 0
	metrics:
	- type: acc_norm
	value: 0.45
	name: acc_norm
	source:
	url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=stupidity-ai%2FLlama-3-8B-Instruct-MultiMoose
	name: Open LLM Leaderboard
	- task:
	type: text-generation
	name: Text Generation
	dataset:
	name: MuSR (0-shot)
	type: TAUR-Lab/MuSR
	args:
	num_few_shot: 0
	metrics:
	- type: acc_norm
	value: 2.73
	name: acc_norm
	source:
	url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=stupidity-ai%2FLlama-3-8B-Instruct-MultiMoose
	name: Open LLM Leaderboard
	- task:
	type: text-generation
	name: Text Generation
	dataset:
	name: MMLU-PRO (5-shot)
	type: TIGER-Lab/MMLU-Pro
	config: main
	split: test
	args:
	num_few_shot: 5
	metrics:
	- type: acc
	value: 1.04
	name: accuracy
	source:
	url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=stupidity-ai%2FLlama-3-8B-Instruct-MultiMoose
	name: Open LLM Leaderboard
	---
	# merge

	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 [Multiplicative Model Merger](https://example.com/docs) merge method.

	### Models Merged

	The following models were included in the merge:
	* [failspy/Llama-3-8B-Instruct-MopeyMule](https://huggingface.co/failspy/Llama-3-8B-Instruct-MopeyMule)
	* [NousResearch/DeepHermes-3-Llama-3-8B-Preview](https://huggingface.co/NousResearch/DeepHermes-3-Llama-3-8B-Preview)

	### Configuration

	The following YAML configuration was used to produce this model:

	```yaml
	merge_method: mult
	models:
	- model: failspy/Llama-3-8B-Instruct-MopeyMule
	- model: NousResearch/DeepHermes-3-Llama-3-8B-Preview
	parameters:
	scale: 3 # adjust as needed
	normalize: true

	```
	# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
	Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/stupidity-ai__Llama-3-8B-Instruct-MultiMoose-details)!
	Summarized results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/contents/viewer/default/train?q=stupidity-ai%2FLlama-3-8B-Instruct-MultiMoose&sort[column]=Average%20%E2%AC%86%EF%B8%8F&sort[direction]=desc)!

	\| Metric \|Value (%)\|
	\|-------------------\|--------:\|
	\|Average \| 4.77\|
	\|IFEval (0-Shot) \| 23.18\|
	\|BBH (3-Shot) \| 1.21\|
	\|MATH Lvl 5 (4-Shot)\| 0.00\|
	\|GPQA (0-shot) \| 0.45\|
	\|MuSR (0-shot) \| 2.73\|
	\|MMLU-PRO (5-shot) \| 1.04\|