初始化项目，由ModelHub XC社区提供模型

Model: mrfakename/llamaphi-3-128k-instruct
Source: Original Platform

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README.md

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+---
+license: mit
+language:
+- en
+---
+[Phi 3 128K instruct](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct) weights in the Llama format.
+
+All credit goes to @vonjack for their useful [conversion script](https://huggingface.co/vonjack/Phi-3-mini-4k-instruct-LLaMAfied) as well as index files which were used to make this.
+
+Check out their version for the [4k model](https://huggingface.co/vonjack/Phi-3-mini-4k-instruct-LLaMAfied)!

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config.json

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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 32000,
+  "hidden_act": "silu",
+  "hidden_size": 3072,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 131072,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "sliding_window": 2047,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.40.0.dev0",
+  "use_cache": true,
+  "vocab_size": 32064
+}

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

convert.py

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+from transformers import AutoModelForCausalLM
+import torch
+from safetensors.torch import save_file
+
+model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-128k-instruct", trust_remote_code=True)
+
+params = model.state_dict()
+params2 = {}
+
+for r in params.keys():
+    if "gate_up_proj" in r:
+        (gate, up) = params[r].chunk(2)
+        params2[r.replace("gate_up_proj", "gate_proj")] = gate
+        params2[r.replace("gate_up_proj", "up_proj")] = up
+    elif "qkv_proj" in r:
+        (q, k, v) = params[r].chunk(3)
+        params2[r.replace("qkv_proj", "q_proj")] = q
+        params2[r.replace("qkv_proj", "k_proj")] = k
+        params2[r.replace("qkv_proj", "v_proj")] = v
+    else:
+        params2[r] = params[r]
+
+for r in params2.keys():
+    params2[r] = torch.tensor(params2[r].clone().detach(), dtype=torch.bfloat16)
+
+save_file(params2, "model-00001-of-00001.safetensors", metadata={"format": "pt"})

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+  "eos_token_id": [
+    32000,
+    32007
+  ],
+  "pad_token_id": 32000,
+  "transformers_version": "4.39.3"
+}

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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32035": {
+      "content": "<|/sys|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32036": {
+      "content": "<|inst|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32037": {
+      "content": "<|/inst|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<|/inst|>"
+  ],
+  "bos_token": "<s>",
+  "chat_template": "{{ bos_token }}{% for message in messages %}{{'<|' + message['role'] + '|>' + '\n' + message['content'] + '<|end|>\n' }}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|>\n' }}{% else %}{{ eos_token }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|end|>",
+  "legacy": false,
+  "model_max_length": 4096,
+  "pad_token": "<|endoftext|>",
+  "padding_side": "left",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}