初始化项目，由ModelHub XC社区提供模型

Model: yujiepan/meta-llama-3.1-tiny-random-hidden128
Source: Original Platform

README.md

@@ -0,0 +1,51 @@
+---
+library_name: transformers
+pipeline_tag: text-generation
+inference: true
+widget:
+- text: Hello!
+  example_title: Hello world
+  group: Python
+---
+
+This model is for debugging. It is randomly initialized using the config from [meta-llama/Meta-Llama-3.1-70B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-70B-Instruct) but with smaller size. 
+
+Codes:
+```python
+import os
+
+import torch
+import transformers
+from transformers import AutoConfig, AutoModelForCausalLM, AutoTokenizer, GenerationConfig, pipeline, set_seed
+
+model_id = "meta-llama/Meta-Llama-3.1-70B-Instruct"
+repo_id = "yujiepan/meta-llama-3.1-tiny-random-hidden128"
+save_path = f"/tmp/{repo_id}"
+
+config = AutoConfig.from_pretrained(model_id, trust_remote_code=True)
+config._name_or_path = model_id
+config.hidden_size = 128
+config.intermediate_size = 256
+config.num_attention_heads = 2
+config.num_key_value_heads = 1
+config.num_hidden_layers = 2
+config.torch_dtype = "bfloat16"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
+tokenizer.save_pretrained(save_path)
+
+model = AutoModelForCausalLM.from_config(
+    config, torch_dtype=torch.bfloat16, attn_implementation="sdpa", trust_remote_code=True
+)
+model.generation_config = GenerationConfig.from_pretrained(model_id, trust_remote_code=True)
+
+set_seed(42)
+with torch.no_grad():
+    for _, p in sorted(model.named_parameters()):
+        torch.nn.init.uniform_(p, -0.2, 0.2)
+
+model.save_pretrained(save_path)
+
+pipe = pipeline("text-generation", model=save_path, device="cuda", trust_remote_code=True, max_new_tokens=20)
+print(pipe("Hello World!"))
+```