Instructions to use Cheng98/llama-160m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cheng98/llama-160m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Cheng98/llama-160m")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Cheng98/llama-160m") model = AutoModelForCausalLM.from_pretrained("Cheng98/llama-160m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Cheng98/llama-160m with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Cheng98/llama-160m" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Cheng98/llama-160m", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Cheng98/llama-160m
- SGLang
How to use Cheng98/llama-160m 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 "Cheng98/llama-160m" \ --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": "Cheng98/llama-160m", "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 "Cheng98/llama-160m" \ --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": "Cheng98/llama-160m", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Cheng98/llama-160m with Docker Model Runner:
docker model run hf.co/Cheng98/llama-160m
| { | |
| "_name_or_path": "JackFram/llama-160m", | |
| "architectures": [ | |
| "LlamaForCausalLM" | |
| ], | |
| "bos_token_id": 0, | |
| "eos_token_id": 2, | |
| "hidden_act": "silu", | |
| "hidden_size": 768, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "max_position_embeddings": 2048, | |
| "model_type": "llama", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 1, | |
| "quant_config": { | |
| "default": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "model_layer_0": { | |
| "mlp": { | |
| "down_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "gate_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "up_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| } | |
| }, | |
| "self_attn": { | |
| "k_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "matmul_0": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "matmul_1": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "o_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "q_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "v_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| } | |
| } | |
| }, | |
| "model_layer_1": { | |
| "mlp": { | |
| "down_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "gate_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "up_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| } | |
| }, | |
| "self_attn": { | |
| "k_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "matmul_0": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "matmul_1": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "o_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "q_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "v_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| } | |
| } | |
| }, | |
| "model_layer_10": { | |
| "mlp": { | |
| "down_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "gate_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "up_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| } | |
| }, | |
| "self_attn": { | |
| "k_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "matmul_0": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "matmul_1": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "o_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "q_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "v_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| } | |
| } | |
| }, | |
| "model_layer_11": { | |
| "mlp": { | |
| "down_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "gate_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "up_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| } | |
| }, | |
| "self_attn": { | |
| "k_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "matmul_0": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "matmul_1": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "o_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "q_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "v_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| } | |
| } | |
| }, | |
| "model_layer_2": { | |
| "mlp": { | |
| "down_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "gate_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "up_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| } | |
| }, | |
| "self_attn": { | |
| "k_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "matmul_0": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "matmul_1": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "o_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "q_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "v_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| } | |
| } | |
| }, | |
| "model_layer_3": { | |
| "mlp": { | |
| "down_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "gate_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "up_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| } | |
| }, | |
| "self_attn": { | |
| "k_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "matmul_0": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "matmul_1": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "o_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "q_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "v_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| } | |
| } | |
| }, | |
| "model_layer_4": { | |
| "mlp": { | |
| "down_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "gate_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "up_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| } | |
| }, | |
| "self_attn": { | |
| "k_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "matmul_0": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "matmul_1": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "o_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "q_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "v_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| } | |
| } | |
| }, | |
| "model_layer_5": { | |
| "mlp": { | |
| "down_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "gate_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "up_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| } | |
| }, | |
| "self_attn": { | |
| "k_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "matmul_0": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "matmul_1": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "o_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "q_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "v_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| } | |
| } | |
| }, | |
| "model_layer_6": { | |
| "mlp": { | |
| "down_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "gate_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "up_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| } | |
| }, | |
| "self_attn": { | |
| "k_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "matmul_0": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "matmul_1": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "o_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "q_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "v_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| } | |
| } | |
| }, | |
| "model_layer_7": { | |
| "mlp": { | |
| "down_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "gate_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "up_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| } | |
| }, | |
| "self_attn": { | |
| "k_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "matmul_0": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "matmul_1": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "o_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "q_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "v_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| } | |
| } | |
| }, | |
| "model_layer_8": { | |
| "mlp": { | |
| "down_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "gate_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "up_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| } | |
| }, | |
| "self_attn": { | |
| "k_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "matmul_0": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "matmul_1": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "o_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "q_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "v_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| } | |
| } | |
| }, | |
| "model_layer_9": { | |
| "mlp": { | |
| "down_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "gate_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "up_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| } | |
| }, | |
| "self_attn": { | |
| "k_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "matmul_0": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "matmul_1": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "o_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "q_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| }, | |
| "v_proj": { | |
| "bypass": true, | |
| "name": "integer" | |
| } | |
| } | |
| } | |
| }, | |
| "rms_norm_eps": 1e-06, | |
| "tie_word_embeddings": false, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.30.0", | |
| "use_cache": true, | |
| "vocab_size": 32000 | |
| } | |