Text Generation
Transformers
Safetensors
PyTorch
English
van_fast_transformer
causal-lm
transformer
custom-code
kv-cache
custom_code
Instructions to use summerMC/summerV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use summerMC/summerV2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="summerMC/summerV2", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("summerMC/summerV2", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use summerMC/summerV2 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "summerMC/summerV2" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "summerMC/summerV2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/summerMC/summerV2
- SGLang
How to use summerMC/summerV2 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 "summerMC/summerV2" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "summerMC/summerV2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'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 "summerMC/summerV2" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "summerMC/summerV2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use summerMC/summerV2 with Docker Model Runner:
docker model run hf.co/summerMC/summerV2
| { | |
| "architectures": [ | |
| "VanFastForCausalLM" | |
| ], | |
| "block_size": 1024, | |
| "bos_token_id": 50256, | |
| "d_ff": 4096, | |
| "d_model": 1024, | |
| "dropout": 0.0, | |
| "dtype": "float32", | |
| "eos_token_id": 50256, | |
| "initializer_range": 0.02, | |
| "is_decoder": true, | |
| "model_type": "van_fast_transformer", | |
| "n_head": 16, | |
| "n_kv_head": 4, | |
| "n_layer": 18, | |
| "pad_token_id": 50256, | |
| "tie_word_embeddings": false, | |
| "transformers_version": "5.0.0", | |
| "use_qk_norm": true, | |
| "vocab_size": 50257, | |
| "auto_map": { | |
| "AutoConfig": "modeling_van_fast.VanFastConfig", | |
| "AutoModelForCausalLM": "modeling_van_fast.VanFastForCausalLM" | |
| }, | |
| "torch_dtype": "bfloat16", | |
| "use_cache": true | |
| } |