Instructions to use worldboss/falcon-7b-worldboss-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use worldboss/falcon-7b-worldboss-ft with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ybelkada/falcon-7b-sharded-bf16") model = PeftModel.from_pretrained(base_model, "worldboss/falcon-7b-worldboss-ft") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +18 -31
config.json
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"hidden_size": 4544,
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"initializer_range": 0.02,
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"layer_norm_epsilon": 1e-05,
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"model_type": "RefinedWebModel",
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"multi_query": true,
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"n_head": 71,
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"n_layer": 32,
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"parallel_attn": true,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.27.4",
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"use_cache": true,
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"vocab_size": 65024
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"architectures": ["LLaMAForCausalLM"],
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 8192,
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"intermediate_size": 22016,
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"initializer_range": 0.02,
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"max_sequence_length": 2048,
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"model_type": "llama",
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"num_attention_heads": 64,
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"num_hidden_layers": 80,
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"pad_token_id": 0,
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"rms_norm_eps": 1e-05,
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"torch_dtype": "float16",
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"transformers_version": "4.28.0.dev0",
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"use_cache": true,
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"vocab_size": 32000
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}
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