Instructions to use Chakita/MathBloom-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Chakita/MathBloom-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Chakita/MathBloom-2")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Chakita/MathBloom-2") model = AutoModelForCausalLM.from_pretrained("Chakita/MathBloom-2") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Chakita/MathBloom-2 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Chakita/MathBloom-2" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Chakita/MathBloom-2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Chakita/MathBloom-2
- SGLang
How to use Chakita/MathBloom-2 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 "Chakita/MathBloom-2" \ --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": "Chakita/MathBloom-2", "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 "Chakita/MathBloom-2" \ --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": "Chakita/MathBloom-2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Chakita/MathBloom-2 with Docker Model Runner:
docker model run hf.co/Chakita/MathBloom-2
Upload BloomForCausalLM
Browse files- config.json +3 -3
- pytorch_model.bin +1 -1
config.json
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"bos_token_id": 1,
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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_inner": null,
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"n_layer": 24,
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"num_attention_heads": 16,
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"offset_alibi": 100,
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"pad_token_id": 3,
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"pretraining_tp": 1,
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"skip_bias_add_qkv": false,
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"slow_but_exact": false,
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"torch_dtype": "float32",
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"transformers_version": "4.
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"unk_token_id": 0,
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"use_cache": true,
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"vocab_size": 250691
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_dropout": 0.0,
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"hidden_size": 1024,
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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": 16,
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"n_inner": null,
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"n_layer": 24,
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"offset_alibi": 100,
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"pad_token_id": 3,
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"pretraining_tp": 1,
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"skip_bias_add_qkv": false,
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"slow_but_exact": false,
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"torch_dtype": "float32",
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"transformers_version": "4.24.0",
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"unk_token_id": 0,
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"use_cache": true,
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"vocab_size": 250691
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pytorch_model.bin
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