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config.json ADDED
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+ {
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+ "_name_or_path": "../../../tinyllama",
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+ "architectures": [
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+ "Int8LlamaForCausalLM"
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+ ],
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+ "attention_bias": false,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 5632,
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+ "max_position_embeddings": 2048,
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+ "model_type": "llama",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 22,
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+ "num_key_value_heads": 4,
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+ "pretraining_tp": 1,
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+ "rms_norm_eps": 1e-05,
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
generation_config.json ADDED
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+ {
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+ "transformers_version": "4.36.2"
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+ }
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quant_config.json ADDED
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+ {
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+ "qkv": "per-token",
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+ "out": "per-tensor",
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+ "fc1": "per-token",
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+ "fc2": "per-tensor"
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+ }
special_tokens_map.json ADDED
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+ {
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+ "bos_token": {
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tokenizer.json ADDED
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tokenizer_config.json ADDED
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+ {
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+ }
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+ },
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+ "bos_token": "<s>",
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+ "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
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+ "clean_up_tokenization_spaces": false,
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+ "padding_side": "right",
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+ "tokenizer_class": "LlamaTokenizer",
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+ "use_default_system_prompt": false
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+ }