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
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ec757bc | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 | {
"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
} |