Instructions to use crumb/ParaLlama-p-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use crumb/ParaLlama-p-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="crumb/ParaLlama-p-small", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("crumb/ParaLlama-p-small", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use crumb/ParaLlama-p-small with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "crumb/ParaLlama-p-small" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "crumb/ParaLlama-p-small", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/crumb/ParaLlama-p-small
- SGLang
How to use crumb/ParaLlama-p-small 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 "crumb/ParaLlama-p-small" \ --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": "crumb/ParaLlama-p-small", "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 "crumb/ParaLlama-p-small" \ --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": "crumb/ParaLlama-p-small", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use crumb/ParaLlama-p-small with Docker Model Runner:
docker model run hf.co/crumb/ParaLlama-p-small
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"_name_or_path": "crumb/parallama-p8192-base-init",
"activation_function": "silu",
"architectures": [
"PlusModelForCausalLM"
],
"auto_map": {
"AutoConfig": "crumb/parallama-p8192-base-init--configuration_nano.NanoConfig",
"AutoModelForCausalLM": "crumb/parallama-p8192-base-init--modeling_nano.PlusModelForCausalLM"
},
"bos_token_id": 1,
"combined_qkv": true,
"eos_token_id": 2,
"expanded_lm_head_size": 8192,
"expanded_wte_size": 8192,
"experimental_full_adaption_rank": null,
"ffn": "parallel",
"full_adaptation_has_pre_proj": false,
"full_adaptation_type": "no",
"hidden_size": 768,
"initializer_range": 0.02,
"intermediate_size": 3072,
"kv_hidden_size": null,
"layer_norm_epsilon": 1e-06,
"layernorm": "llamarmsnorm",
"lm_head_bias": false,
"lm_head_projection_bias": false,
"max_position_embeddings": 2048,
"model_type": "nano",
"num_attention_heads": 12,
"num_hidden_layers": 10,
"pre_proj_dim": null,
"rope_scaling": null,
"rope_theta": 10000,
"torch_dtype": "bfloat16",
"transformers_version": "4.36.2",
"use_bias": false,
"use_cache": false,
"vocab_size": 32000
}
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