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added_tokens.json ADDED
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+ {
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+ "<|content|>": 32000,
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+ "<|from|>": 32002,
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+ "<|recipient|>": 32001,
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+ "<|stop|>": 32003
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+ }
config.json ADDED
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+ {
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+ "_name_or_path": ".",
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+ "architectures": [
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+ "MistralForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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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": 4096,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 14336,
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+ "max_position_embeddings": 32768,
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+ "model_type": "mistral",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 8,
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+ "quantization_config": {
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+ "bits": 4,
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+ "group_size": 128,
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+ "modules_to_not_convert": null,
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+ "quant_method": "awq",
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+ "version": "gemm",
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+ "zero_point": true
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+ },
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+ "rms_norm_eps": 1e-05,
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+ "rope_theta": 10000.0,
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+ "sliding_window": 8192,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.37.2",
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+ "use_cache": false,
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+ "vocab_size": 32004
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+ }
generation_config.json ADDED
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+ {
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+ "_from_model_config": true,
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+ "bos_token_id": 1,
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+ "eos_token_id": 2,
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+ "transformers_version": "4.37.2"
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model.safetensors ADDED
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+ version https://git-lfs.github.com/spec/v1
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quant_config.json ADDED
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+ "version": "GEMM",
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special_tokens_map.json ADDED
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+ {
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+ "additional_special_tokens": [
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+ "<|content|>",
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+ "<|recipient|>",
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tokenizer.json ADDED
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tokenizer.model ADDED
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tokenizer_config.json ADDED
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+ {
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+ "add_bos_token": true,
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+ "add_eos_token": false,
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+ "added_tokens_decoder": {
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+ "0": {
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+ "content": "<unk>",
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+ "lstrip": false,
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+ "normalized": false,
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+ "content": "<|recipient|>",
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+ "special": true
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+ }
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+ },
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+ "additional_special_tokens": [
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+ "<|content|>",
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+ "<|recipient|>",
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+ "<|from|>",
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+ "<|stop|>"
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+ ],
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+ "bos_token": "<s>",
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+ "chat_template": "{#v2.2#}\n{% for message in messages %}\n{% if message['role'] == 'user' or message['role'] == 'system' %}\n{{ '<|from|>' + message['role'] + '\n<|recipient|>all\n<|content|>' + message['content'] + '\n' }}{% elif message['role'] == 'tool' %}\n{{ '<|from|>' + message['name'] + '\n<|recipient|>all\n<|content|>' + message['content'] + '\n' }}{% else %}\n{% set contain_content='no'%}\n{% if message['content'] is not none %}\n{{ '<|from|>assistant\n<|recipient|>all\n<|content|>' + message['content'] }}{% set contain_content='yes'%}\n{% endif %}\n{% if 'tool_calls' in message and message['tool_calls'] is not none %}\n{% for tool_call in message['tool_calls'] %}\n{% set prompt='<|from|>assistant\n<|recipient|>' + tool_call['function']['name'] + '\n<|content|>' + tool_call['function']['arguments'] %}\n{% if loop.index == 1 and contain_content == \"no\" %}\n{{ prompt }}{% else %}\n{{ '\n' + prompt}}{% endif %}\n{% endfor %}\n{% endif %}\n{{ '<|stop|>\n' }}{% endif %}\n{% endfor %}\n{% if add_generation_prompt %}{{ '<|from|>assistant\n<|recipient|>' }}{% endif %}",
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+ "clean_up_tokenization_spaces": false,
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+ "eos_token": "</s>",
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+ "legacy": true,
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+ "max_length": 8192,
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+ "padding_side": "left",
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+ "sp_model_kwargs": {},
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+ "spaces_between_special_tokens": false,
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+ "stride": 0,
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+ "tokenizer_class": "LlamaTokenizer",
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+ "truncation_side": "right",
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+ "truncation_strategy": "longest_first",
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+ "unk_token": "<unk>",
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+ "use_default_system_prompt": false
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+ }