Instructions to use bruhzair/Test-Model-5-105b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use bruhzair/Test-Model-5-105b with Transformers:

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

pipe = pipeline("text-generation", model="bruhzair/Test-Model-5-105b")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("bruhzair/Test-Model-5-105b")
model = AutoModelForCausalLM.from_pretrained("bruhzair/Test-Model-5-105b", 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 bruhzair/Test-Model-5-105b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "bruhzair/Test-Model-5-105b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "bruhzair/Test-Model-5-105b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/bruhzair/Test-Model-5-105b

SGLang

How to use bruhzair/Test-Model-5-105b 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 "bruhzair/Test-Model-5-105b" \
    --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": "bruhzair/Test-Model-5-105b",
		"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 "bruhzair/Test-Model-5-105b" \
        --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": "bruhzair/Test-Model-5-105b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use bruhzair/Test-Model-5-105b with Docker Model Runner:
```
docker model run hf.co/bruhzair/Test-Model-5-105b
```

Purpose

Mergefuel experiment.

Models Merged

The following models were included in the merge:

bruhzair/ignore-merge-3 (TheSkullery/L3.1x3.3-Hydroblated-R1-70B-v5 upscaled to 105B)
bruhzair/ignore-merge-20 (allenai/Llama-3.1-Tulu-3-70B upscaled to 105B)
bruhzair/ignore-merge-17 (migtissera/Tess-3-Llama-3.1-70B upscaled to 105B)
BASE: bruhzair/ignore-merge-19 (mlabonne/Hermes-3-Llama-3.1-70B-lorablated upscaled to 105B)

Configuration

The following YAML configuration was used to produce this model:

base_model: /workspace/cache/models--bruhzair--ignore-merge-19/snapshots/57e2fc7118091e0706844a2e88d4c911d94e1e52
dtype: float32
merge_method: sce
modules:
  default:
    slices:
    - sources:
      - layer_range: [0, 120]
        model: /workspace/cache/models--bruhzair--ignore-merge-3/snapshots/6255d5dbe071987b8ff4567ea91f08d6499fdeff
        parameters:
          select_topk: 0.5
      - layer_range: [0, 120]
        model: /workspace/cache/models--bruhzair--ignore-merge-20/snapshots/73ca53c717958a9740a323916d799a257dacd36b
        parameters:
          select_topk: 0.5
      - layer_range: [0, 120]
        model: /workspace/cache/models--bruhzair--ignore-merge-17/snapshots/bd0af76a6bc4d9ae4bab5fa6b50e6545e6f3fd4f
        parameters:
          select_topk: 0.5
      - layer_range: [0, 120]
        model: /workspace/cache/models--bruhzair--ignore-merge-19/snapshots/57e2fc7118091e0706844a2e88d4c911d94e1e52
        parameters:
          select_topk: 0.5
out_dtype: bfloat16
tokenizer:
  source: base

Downloads last month: 9

Safetensors

Model size

105B params

Tensor type

BF16