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README.md CHANGED
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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
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+ ** Converted model for GPTQ from https://huggingface.co/lmsys/vicuna-13b-delta-v0. This is the best local model I've ever tried. I hope someone makes a version based on the uncensored dataset...**
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+
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+ GPTQ conversion command (on CUDA branch):
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+ CUDA_VISIBLE_DEVICES=0 python llama.py ../lmsys/vicuna-13b-v0 c4 --wbits 4 --true-sequential --groupsize 128 --save vicuna-13b-4bit-128g.pt
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+
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+ Added 1 token to the tokenizer model:
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+ python llama-tools/add_tokens.py lmsys/vicuna-13b-v0/tokenizer.model /content/tokenizer.model llama-tools/test_list.txt
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+
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+ Use of Oobabooga with these tags:
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+ --wbits 4
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+ --groupsize 128
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+
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+ Enjoy
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+ {
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+ ],
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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": 5120,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 13824,
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+ "max_position_embeddings": 2048,
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+ "model_type": "llama",
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+ "num_attention_heads": 40,
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+ "num_hidden_layers": 40,
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+ "pad_token_id": 0,
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+ "rms_norm_eps": 1e-06,
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+ "tie_word_embeddings": false,
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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": 32001
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+ }
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+ {
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+ "_from_model_config": true,
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+ "transformers_version": "4.28.0.dev0"
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+ }
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