Text Generation
Transformers
Safetensors
llama
model: vicuna
repo_name: vicuna_block_3_philosophy_Complete Random
file_name: vicuna_block_3_philosophy_Complete Random_5000_5.pt
pruning_style: block
community: 3
pruning_ratio: 20
dataset_label: philosophy
sparsity_ratio: 20
['tasksource/mmlu', 'philosophy']
finetune: Complete Random
modules_size: 23
modules: ['13_attn.k', '17_attn.v', '6_attn.v', '21_attn.o', '11_mlp.up', '15_gate', '17_attn.k', '29_attn.v', '10_gate', '16_attn.v', '29_mlp.up', '7_mlp.down', '29_attn.o', '5_gate', '22_gate', '3_gate', '4_attn.v', '5_attn.k', '11_attn.o', '19_gate', '26_mlp.up', '3_attn.q', '28_attn.k']
rank: 2
tags: ['model: vicuna', 'repo_name: vicuna_block_3_philosophy_Complete Random', 'file_name: vicuna_block_3_philosophy_Complete Random_5000_5.pt', 'base_model: lmsys/vicuna-7b-v1.5', 'pruning_style: block', 'community: 3', 'pruning_ratio: 20', 'dataset_label: philosophy', 'sparsity_ratio: 20', "dataset: ['tasksource/mmlu', 'philosophy']", 'finetune: Complete Random', 'modules_size: 23', "modules: ['13_attn.k', '17_attn.v', '6_attn.v', '21_attn.o', '11_mlp.up', '15_gate', '17_attn.k', '29_attn.v', '10_gate', '16_attn.v', '29_mlp.up', '7_mlp.down', '29_attn.o', '5_gate', '22_gate', '3_gate', '4_attn.v', '5_attn.k', '11_attn.o', '19_gate', '26_mlp.up', '3_attn.q', '28_attn.k']", 'rank: 2']
text-generation-inference
Instructions to use KBhandari11/vicuna_block_3_philosophy_Complete_Random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KBhandari11/vicuna_block_3_philosophy_Complete_Random with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="KBhandari11/vicuna_block_3_philosophy_Complete_Random")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("KBhandari11/vicuna_block_3_philosophy_Complete_Random") model = AutoModelForCausalLM.from_pretrained("KBhandari11/vicuna_block_3_philosophy_Complete_Random") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use KBhandari11/vicuna_block_3_philosophy_Complete_Random with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "KBhandari11/vicuna_block_3_philosophy_Complete_Random" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "KBhandari11/vicuna_block_3_philosophy_Complete_Random", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/KBhandari11/vicuna_block_3_philosophy_Complete_Random
- SGLang
How to use KBhandari11/vicuna_block_3_philosophy_Complete_Random 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 "KBhandari11/vicuna_block_3_philosophy_Complete_Random" \ --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": "KBhandari11/vicuna_block_3_philosophy_Complete_Random", "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 "KBhandari11/vicuna_block_3_philosophy_Complete_Random" \ --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": "KBhandari11/vicuna_block_3_philosophy_Complete_Random", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use KBhandari11/vicuna_block_3_philosophy_Complete_Random with Docker Model Runner:
docker model run hf.co/KBhandari11/vicuna_block_3_philosophy_Complete_Random