Instructions to use DopeyGay/L3-UprootedForest-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use DopeyGay/L3-UprootedForest-8B with Transformers:

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

pipe = pipeline("text-generation", model="DopeyGay/L3-UprootedForest-8B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("DopeyGay/L3-UprootedForest-8B")
model = AutoModelForCausalLM.from_pretrained("DopeyGay/L3-UprootedForest-8B")
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

vLLM

How to use DopeyGay/L3-UprootedForest-8B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "DopeyGay/L3-UprootedForest-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": "DopeyGay/L3-UprootedForest-8B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/DopeyGay/L3-UprootedForest-8B

SGLang

How to use DopeyGay/L3-UprootedForest-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 "DopeyGay/L3-UprootedForest-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": "DopeyGay/L3-UprootedForest-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 "DopeyGay/L3-UprootedForest-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": "DopeyGay/L3-UprootedForest-8B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use DopeyGay/L3-UprootedForest-8B with Docker Model Runner:
```
docker model run hf.co/DopeyGay/L3-UprootedForest-8B
```

VERY IMPORTANT:

This model has not been tested or evaluated, and its performance, characteristics, and operational status are currently unknown. Feedback is appreciated.

AI is a powerful tool, that being said, it may sometimes generate harmful, biased, untrue, or inappropriate content, and this model is no different. Please exercise caution and use it at your own risk, just like you would a drill, or a hammer, or any other tool

merge

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the Passthrough merge method.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
    - model: Hastagaras/L3.2-JametMini-3B-MK.III
      layer_range: [0, 24]
  - sources:
    - model: TeeZee/DarkSapling-7B-v2.0
      layer_range: [8, 24]
  - sources:
    - model: Hastagaras/Halu-8B-Llama3-Blackroot
      layer_range: [24, 32]
merge_method: passthrough
dtype: bfloat16
name: L3-UprootedForest-8B

Downloads last month: 4

Safetensors

Model size

9B params

Tensor type

BF16

Model tree for DopeyGay/L3-UprootedForest-8B

Hastagaras/Halu-8B-Llama3-Blackroot

Hastagaras/L3.2-JametMini-3B-MK.III

TeeZee/DarkSapling-7B-v2.0

Merge model

this model