Instructions to use facebook/galactica-1.3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/galactica-1.3b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="facebook/galactica-1.3b")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("facebook/galactica-1.3b") model = AutoModelForCausalLM.from_pretrained("facebook/galactica-1.3b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use facebook/galactica-1.3b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "facebook/galactica-1.3b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "facebook/galactica-1.3b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/facebook/galactica-1.3b
- SGLang
How to use facebook/galactica-1.3b 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 "facebook/galactica-1.3b" \ --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": "facebook/galactica-1.3b", "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 "facebook/galactica-1.3b" \ --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": "facebook/galactica-1.3b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use facebook/galactica-1.3b with Docker Model Runner:
docker model run hf.co/facebook/galactica-1.3b
Convert checkpoint files to float16
Browse files- config.json +4 -4
- pytorch_model.bin +2 -2
config.json
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"OPTForCausalLM"
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],
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"attention_dropout": 0.1,
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"
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"bos_token_id": 0,
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"do_layer_norm_before": true,
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"dropout": 0.1,
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"ffn_dim": 8192,
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"hidden_size": 2048,
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"init_std": 0.02,
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"layer_norm_elementwise_affine":
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"layerdrop": 0.0,
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"learned_embeddings": true,
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"max_position_embeddings": 2048,
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"num_hidden_layers": 24,
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"pad_token_id": 1,
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"scale_embeddings": false,
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"torch_dtype": "
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"transformers_version": "4.
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"use_cache": true,
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"vocab_size": 50000,
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"word_embed_proj_dim": 2048
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"OPTForCausalLM"
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],
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"attention_dropout": 0.1,
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"enable_bias": true,
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"bos_token_id": 0,
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"do_layer_norm_before": true,
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"dropout": 0.1,
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"ffn_dim": 8192,
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"hidden_size": 2048,
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"init_std": 0.02,
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"layer_norm_elementwise_affine": true,
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"layerdrop": 0.0,
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"learned_embeddings": true,
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"max_position_embeddings": 2048,
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"num_hidden_layers": 24,
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"pad_token_id": 1,
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"scale_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.21.0.dev0",
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"use_cache": true,
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"vocab_size": 50000,
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"word_embed_proj_dim": 2048
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:f349eb24e0a15d358137908aa71f88afc580250b3acebef102ab6e8b8cc06f18
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size 2630528157
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