Instructions to use LLM360/Crystal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LLM360/Crystal with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="LLM360/Crystal", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("LLM360/Crystal", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use LLM360/Crystal with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "LLM360/Crystal" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "LLM360/Crystal", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/LLM360/Crystal
- SGLang
How to use LLM360/Crystal 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 "LLM360/Crystal" \ --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": "LLM360/Crystal", "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 "LLM360/Crystal" \ --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": "LLM360/Crystal", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use LLM360/Crystal with Docker Model Runner:
docker model run hf.co/LLM360/Crystal
Commit ·
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README.md
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@@ -20,14 +20,14 @@ Despite being trained on a smaller dataset of 1.4 trillion tokens—compared to
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It demonstrates superior performance in benchmarks like MMLU, HumanEval, and MBPP.
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By comparing CrystalCoder with other similar work, CrystalCoder is quite balance on language and coding tasks.
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| Mistral 7B
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| **CrystalCoder 7B** | 1.4T | 47.01 | 71.97
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| CodeLlaMA 7B
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| OpenLLaMA v2 7B
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## About LLM360
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LLM360 is an initiative for comprehensive and fully open-sourced LLMs,
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It demonstrates superior performance in benchmarks like MMLU, HumanEval, and MBPP.
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By comparing CrystalCoder with other similar work, CrystalCoder is quite balance on language and coding tasks.
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| Model | Trained Tokens | Avg. of Avg. | Language Avg. | Coding Avg. | ARC | HellaSwag | MMLU (5-shot) | TruthfulQA | HumanEval (pass@1) | MBPP (pass@1) |
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| Mistral 7B | - | 48.68 | 62.40 | 33.95 | 59.98 | 83.31 | 64.16 | 42.15 | 29.12 | 38.78 |
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| **CrystalCoder 7B** | 1.4T | 41.65 | 50.92 | 32.38 | 47.01 | 71.97 | 48.78 | 35.91 | 28.38 | 36.38 |
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| CodeLlaMA 7B | 2.5T | 39.94 | 42.42 | 37.45 | 39.93 | 60.80 | 31.12 | 37.82 | 33.50 | 41.40 |
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| OpenLLaMA v2 7B | 1T | 38.10 | 48.18 | 28.01 | 43.60 | 72.20 | 41.29 | 35.54 | 15.32 | 12.69 |
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| LLaMA 2 7B | 2T | 34.98 | 53.39 | 16.57 | 53.07 | 77.74 | 43.80 | 38.98 | 13.05 | 20.09 |
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| StarCoder-15B | 1.03 | - | - | 38.46 | - | - | - | - | 33.63 | 43.28 |
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## About LLM360
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LLM360 is an initiative for comprehensive and fully open-sourced LLMs,
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