初始化项目，由ModelHub XC社区提供模型

Model: erfanzar/MaticGPT
Source: Original Platform

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README.md

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+---
+datasets:
+- erfanzar/ShareGPT4
+- HuggingFaceH4/no_robots
+language:
+- en
+- fr
+- es
+- zh
+- ru
+metrics:
+- accuracy
+pipeline_tag: text-generation
+license: mit
+---
+
+# LinguaMatic
+
+LinguaMatic is an advanced AI model designed to handle a wide range of Natural Language Processing (NLP) tasks. With its powerful capabilities, LinguaMatic can assist with tasks such as text classification, sentiment analysis, language translation, question answering, and much more.
+
+## EasyDel
+
+The model is finetuned Using a custom version of UltraChat on TPU-v4 POD using [EasyDel](https://github.com/erfanzar/EasyDeL)
+
+## Prompting Method
+
+LinguaMatic utilizes the llama2 prompting method to generate responses. This method, named after the friendly and intelligent llama, enhances the model's ability to engage in meaningful conversations. The `prompt_model` function provided below demonstrates how the llama2 prompting method is implemented:
+
+```python
+def prompt_model(
+    message: str,
+    chat_history: None | list[list[str]] = [],
+    system_prompt: str | None = None
+) -> str:
+    do_strip = False
+    texts = [f"<s>[INST] <<SYS>>\n{system_prompt}\n<</SYS>>\n\n"] if system_prompt is not None else ["<s>[INST] "]
+    for user_input, response in chat_history:
+        user_input = user_input.strip() if do_strip else user_input
+        do_strip = True
+        texts.append(f'{user_input} [/INST] {response.strip()} </s><s>[INST] ')
+    message = message.strip() if do_strip else message
+    texts.append(f'{message} [/INST]')
+    return ''.join(texts)
+```
+
+The `prompt_model` function takes a `message` as input, along with the `chat_history` and `system_prompt`. It generates a formatted text that includes the system prompt, user inputs, and the current message. This approach allows LinguaMatic to maintain context and provide more coherent and context-aware responses.
+
+
+## Contributing
+
+We welcome contributions to enhance LinguaMatic's capabilities and improve its performance. If you encounter any issues or have suggestions for improvement, please feel free to submit a pull request or open an issue on [EasyDel](https://github.com/erfanzar/EasyDeL) GitHub repository.

config.json

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+{
+  "a_ps": [
+    [
+      "dp",
+      "fsdp"
+    ],
+    "sp",
+    "tp",
+    null
+  ],
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "axis_dims": [
+    1,
+    -1,
+    1,
+    1
+  ],
+  "axis_names": [
+    "dp",
+    "fsdp",
+    "tp",
+    "sp"
+  ],
+  "b_ps": [
+    [
+      "dp",
+      "fsdp"
+    ],
+    null,
+    null,
+    null
+  ],
+  "backend": null,
+  "bits": null,
+  "bos_token_id": 1,
+  "c_max_position_embeddings": 2048,
+  "easy_method": "train",
+  "embd_pdrop": 0.0,
+  "eos_token_id": 2,
+  "fcm_max_ratio": 0.0,
+  "fcm_min_ratio": 0.0,
+  "flash_attn_key_chunk_size": 1024,
+  "flash_attn_query_chunk_size": 1024,
+  "freq_max_position_embeddings": 2048,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 5632,
+  "k_ps": [
+    [
+      "dp",
+      "fsdp"
+    ],
+    "sp",
+    "tp",
+    null
+  ],
+  "max_position_embeddings": 2048,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 22,
+  "num_key_value_heads": 4,
+  "number_rep_kv": 1,
+  "pretraining_tp": 1,
+  "q_ps": [
+    [
+      "dp",
+      "fsdp"
+    ],
+    "sp",
+    "tp",
+    null
+  ],
+  "resid_pdrop": 0.0,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "scan_layers": true,
+  "scan_mlp_chunk_size": 1024,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.36.2",
+  "use_cache": true,
+  "use_flash_attention": false,
+  "use_pjit_attention_force": false,
+  "use_sacn_mlp": false,
+  "use_shard_map": false,
+  "v_ps": [
+    [
+      "dp",
+      "fsdp"
+    ],
+    "sp",
+    "tp",
+    null
+  ],
+  "vocab_size": 32000
+}

generation_config.json

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+  "transformers_version": "4.36.2"
+}

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special_tokens_map.json

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tokenizer_config.json

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+  "pad_token": "</s>",
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}