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Create config.json

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  1. config.json +71 -0
config.json ADDED
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+ {
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+ "_name_or_path": "de-coder/UlizaLlama_Q4_K_M-gguf",
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+ "architectures": ["LlamaForCausalLM"],
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+ "model_type": "llama",
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.34.0",
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+
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+ "vocab_size": 20000,
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+ "hidden_size": 4096,
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+ "intermediate_size": 11008,
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+ "num_hidden_layers": 32,
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+ "num_attention_heads": 32,
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+ "num_key_value_heads": 32,
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+ "hidden_act": "silu",
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+ "max_position_embeddings": 4096,
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+ "initializer_range": 0.02,
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+ "rms_norm_eps": 1e-05,
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+ "rope_theta": 10000.0,
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+ "rope_scaling": null,
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+ "attention_bias": false,
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+ "use_cache": true,
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+ "tie_word_embeddings": false,
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+
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+ "bos_token_id": 1,
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+ "eos_token_id": 2,
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+ "pad_token_id": 0,
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+ "unk_token_id": 0,
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+
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+ "quantization": {
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+ "method": "GGUF",
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+ "bits": 4,
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+ "variant": "q4_0",
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+ "block_size": 32,
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+ "group_size": 32,
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+ "tensors": {
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+ "query": "Q4_0",
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+ "key": "Q4_0",
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+ "value": "Q4_0",
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+ "output": "Q4_0",
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+ "intermediate": "Q4_0",
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+ "gate": "Q4_0",
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+ "embedding": "Q4_0",
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+ "norm": "F16"
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+ },
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+ "scales_dtype": "fp16"
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+ },
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+
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+ "tokenizer": {
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+ "type": "BPE",
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+ "vocab_file": "ulizallama-tokenizer.json",
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+ "merges_file": "ulizallama-merges.txt"
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+ },
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+
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+ "generation": {
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+ "temperature": 0.7,
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+ "top_p": 0.95,
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+ "top_k": 40,
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+ "repetition_penalty": 1.1,
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+ "max_new_tokens": 512
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+ },
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+
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+ "base_model": {
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+ "name": "Jacaranda/kiswallama-pretrained",
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+ "type": "Llama2 Continual Pretraining"
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+ },
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+ "quantization_process": {
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+ "library": "llama.cpp",
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+ "version": "1.0.0",
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+ "command": "llama.cpp quantize ulizallama-7b.gguf ulizallama-7b-gguf-q4_0.bin q4_0"
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+ }
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+ }