Instructions to use FWRust/text-sql-URFU-RTF-2C with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps
- Unsloth Studio new
How to use FWRust/text-sql-URFU-RTF-2C with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for FWRust/text-sql-URFU-RTF-2C to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for FWRust/text-sql-URFU-RTF-2C to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for FWRust/text-sql-URFU-RTF-2C to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="FWRust/text-sql-URFU-RTF-2C", max_seq_length=2048, )
Delete params.json
Browse filesdeleted old model params
- params.json +0 -18
params.json
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{
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"dim": 4096,
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"n_layers": 32,
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"head_dim": 128,
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"hidden_dim": 14336,
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"n_heads": 32,
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"n_kv_heads": 8,
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"norm_eps": 1e-05,
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"vocab_size": 32768,
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"rope_theta": 1000000.0,
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"lora": {
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"enable": true,
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"rank": 64,
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"dropout": 0.0,
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"scaling": 2.0
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},
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"moe": null
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}
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