Instructions to use bigscience/test-bloomd-6b3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bigscience/test-bloomd-6b3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="bigscience/test-bloomd-6b3")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("bigscience/test-bloomd-6b3") model = AutoModelForCausalLM.from_pretrained("bigscience/test-bloomd-6b3") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use bigscience/test-bloomd-6b3 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "bigscience/test-bloomd-6b3" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "bigscience/test-bloomd-6b3", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/bigscience/test-bloomd-6b3
- SGLang
How to use bigscience/test-bloomd-6b3 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 "bigscience/test-bloomd-6b3" \ --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": "bigscience/test-bloomd-6b3", "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 "bigscience/test-bloomd-6b3" \ --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": "bigscience/test-bloomd-6b3", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use bigscience/test-bloomd-6b3 with Docker Model Runner:
docker model run hf.co/bigscience/test-bloomd-6b3
Commit ·
9159e0b
1
Parent(s): c10cdb6
push-o-matic
Browse files- config.json +6 -3
- pytorch_model.bin +1 -1
- tokenizer_config.json +1 -1
config.json
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{
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"apply_residual_connection_post_layernorm": false,
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"attention_dropout": 0.0,
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"attention_softmax_in_fp32": true,
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"bias_dropout_fusion": true,
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"dht_prefix": "bigscience/test-bloomd-6b3",
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"eos_token_id": 2,
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"hidden_dropout": 0.0,
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"initializer_range": 0.02,
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"layer_norm_epsilon": 1e-05,
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"masked_softmax_fusion": true,
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"model_type": "bloom",
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"
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"n_layer": 30,
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"num_attention_heads": 32,
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"offset_alibi": 100,
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"pad_token_id": 3,
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"pretraining_tp": 4,
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"slow_but_exact": false,
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"transformers_version": "4.21.0.dev0",
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"unk_token_id": 0,
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"use_cache":
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"vocab_size": 250880
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}
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{
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"apply_residual_connection_post_layernorm": false,
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"architectures": [
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"BloomModel"
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],
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"attention_dropout": 0.0,
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"attention_softmax_in_fp32": true,
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"bias_dropout_fusion": true,
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"dht_prefix": "bigscience/test-bloomd-6b3",
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"eos_token_id": 2,
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"hidden_dropout": 0.0,
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"layer_norm_epsilon": 1e-05,
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"masked_softmax_fusion": true,
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"model_type": "bloom",
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"n_head": 32,
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"n_inner": null,
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"n_layer": 30,
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"offset_alibi": 100,
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"pad_token_id": 3,
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"pretraining_tp": 4,
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"slow_but_exact": false,
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"transformers_version": "4.21.0.dev0",
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"unk_token_id": 0,
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"use_cache": true,
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"vocab_size": 250880
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}
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pytorch_model.bin
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tokenizer_config.json
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"add_prefix_space": false,
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"bos_token": "<s>",
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"eos_token": "</s>",
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"model_max_length": 1024,
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"name_or_path": "bigscience/bloom-6b3",
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"pad_token": "<pad>",
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"special_tokens_map_file": null,
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"tokenizer_class": "BloomTokenizer",
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"unk_token": "<unk>"
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"add_prefix_space": false,
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"bos_token": "<s>",
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"eos_token": "</s>",
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"name_or_path": "bigscience/bloom-6b3",
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"pad_token": "<pad>",
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"padding_side": "left",
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"special_tokens_map_file": null,
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"tokenizer_class": "BloomTokenizer",
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"unk_token": "<unk>"
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