Instructions to use vonjack/Hermes-2-Pro-BakLLaVA-Mistral-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use vonjack/Hermes-2-Pro-BakLLaVA-Mistral-7B with Transformers:

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

pipe = pipeline("text-generation", model="vonjack/Hermes-2-Pro-BakLLaVA-Mistral-7B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("vonjack/Hermes-2-Pro-BakLLaVA-Mistral-7B", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use vonjack/Hermes-2-Pro-BakLLaVA-Mistral-7B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "vonjack/Hermes-2-Pro-BakLLaVA-Mistral-7B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "vonjack/Hermes-2-Pro-BakLLaVA-Mistral-7B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/vonjack/Hermes-2-Pro-BakLLaVA-Mistral-7B

SGLang

How to use vonjack/Hermes-2-Pro-BakLLaVA-Mistral-7B 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 "vonjack/Hermes-2-Pro-BakLLaVA-Mistral-7B" \
    --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": "vonjack/Hermes-2-Pro-BakLLaVA-Mistral-7B",
		"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 "vonjack/Hermes-2-Pro-BakLLaVA-Mistral-7B" \
        --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": "vonjack/Hermes-2-Pro-BakLLaVA-Mistral-7B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use vonjack/Hermes-2-Pro-BakLLaVA-Mistral-7B with Docker Model Runner:
```
docker model run hf.co/vonjack/Hermes-2-Pro-BakLLaVA-Mistral-7B
```

Hermes 2 Pro BakLLaVA - Mistral 7B

Hermes 2 Pro's LLaMA weights + BakLLaVA's mm_projector & vision_tower weights.

Good QA + Function Calling + JSON Mode + Vision Multimodal

GGUFs:

Hermes 2 pro: https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B-GGUF
BakLLaVA-1: https://huggingface.co/mys/ggml_bakllava-1

Test code:

from llava.mm_utils import get_model_name_from_path
from llava.eval.run_llava import eval_model

model_path = "vonjack/Hermes-2-Pro-BakLLaVA-Mistral-7B"

prompt = "What's the content of the image?"
image_file = "https://www.ilankelman.org/stopsigns/australia.jpg"

args = type('Args', (), {
    "model_path": model_path,
    "model_base": None,
    "model_name": get_model_name_from_path(model_path),
    "query": prompt,
    "conv_mode": None,
    "image_file": image_file,
    "sep": ",",
    "temperature": 0,
    "top_p": None,
    "num_beams": 1,
    "max_new_tokens": 512
})()

eval_model(args)

Example:

Downloads last month: 14

Safetensors

Model size

8B params

Tensor type

BF16

Model tree for vonjack/Hermes-2-Pro-BakLLaVA-Mistral-7B

Base model

mistralai/Mistral-7B-v0.1

Finetuned

NousResearch/Hermes-2-Pro-Mistral-7B

Finetuned

(19)

this model

vonjack
/

Hermes-2-Pro-BakLLaVA-Mistral-7B

Hermes 2 Pro BakLLaVA - Mistral 7B

Model tree for vonjack/Hermes-2-Pro-BakLLaVA-Mistral-7B

Datasets used to train vonjack/Hermes-2-Pro-BakLLaVA-Mistral-7B