Instructions to use bunnycore/Chimera-Apex-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use bunnycore/Chimera-Apex-7B with Transformers:

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

pipe = pipeline("text-generation", model="bunnycore/Chimera-Apex-7B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("bunnycore/Chimera-Apex-7B")
model = AutoModelForCausalLM.from_pretrained("bunnycore/Chimera-Apex-7B", 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]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use bunnycore/Chimera-Apex-7B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "bunnycore/Chimera-Apex-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": "bunnycore/Chimera-Apex-7B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/bunnycore/Chimera-Apex-7B

SGLang

How to use bunnycore/Chimera-Apex-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 "bunnycore/Chimera-Apex-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": "bunnycore/Chimera-Apex-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 "bunnycore/Chimera-Apex-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": "bunnycore/Chimera-Apex-7B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use bunnycore/Chimera-Apex-7B with Docker Model Runner:
```
docker model run hf.co/bunnycore/Chimera-Apex-7B
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

Chimera-Apex-7B

Chimera-Apex-7B is an experimental large language model (LLM) created by merging several high-performance models with the goal of achieving exceptional capabilities.

GGUF: https://huggingface.co/mradermacher/Chimera-Apex-7B-GGUF

Tasks:

Due to the inclusion of various models, Chimera-Apex-7B is intended to be a general-purpose model capable of handling a wide range of tasks, including:

Conversation
Question Answering
Code Generation
(Possibly) NSFW content generation

Limitations:

As an experimental model, Chimera-Apex-7B's outputs may not always be perfect or accurate.
The merged models might introduce biases present in their training data.
It's important to be aware of this limitation when interpreting its outputs.

🧩 Configuration

models:
  - model: Azazelle/Half-NSFW_Noromaid-7b
  - model: Endevor/InfinityRP-v1-7B
  - model: FuseAI/FuseChat-7B-VaRM
merge_method: model_stock
base_model: cognitivecomputations/dolphin-2.0-mistral-7b
dtype: bfloat16

Chimera-Apex-7B is a merge of the following models using mergekit:

Downloads last month: 79

Safetensors

Model size

7B params

Tensor type

BF16

Model tree for bunnycore/Chimera-Apex-7B

Merges

1 model

Quantizations

2 models

bunnycore
/

Chimera-Apex-7B

Chimera-Apex-7B

Tasks:

Limitations:

🧩 Configuration

Model tree for bunnycore/Chimera-Apex-7B

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