初始化项目，由ModelHub XC社区提供模型

Model: lainlives/autotrain-pldxg-msl0p
Source: Original Platform

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README.md

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+---
+tags:
+- autotrain
+- text-generation-inference
+- text-generation
+- peft
+library_name: transformers
+base_model: willcb/Qwen2.5-7B-Math-Python-SFT
+widget:
+  - messages:
+      - role: user
+        content: What is your favorite condiment?
+license: other
+datasets:
+- TeichAI/gpt-5.1-codex-max-1000x
+---
+
+# Model Trained Using AutoTrain
+
+This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
+
+# Usage
+
+```python
+
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_path = "PATH_TO_THIS_REPO"
+
+tokenizer = AutoTokenizer.from_pretrained(model_path)
+model = AutoModelForCausalLM.from_pretrained(
+    model_path,
+    device_map="auto",
+    torch_dtype='auto'
+).eval()
+
+# Prompt content: "hi"
+messages = [
+    {"role": "user", "content": "hi"}
+]
+
+input_ids = tokenizer.apply_chat_template(conversation=messages, tokenize=True, add_generation_prompt=True, return_tensors='pt')
+output_ids = model.generate(input_ids.to('cuda'))
+response = tokenizer.decode(output_ids[0][input_ids.shape[1]:], skip_special_tokens=True)
+
+# Model response: "Hello! How can I assist you today?"
+print(response)
+```

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config.json

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+{
+  "_name_or_path": "willcb/Qwen2.5-7B-Math-Python-SFT",
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 3584,
+  "initializer_range": 0.02,
+  "intermediate_size": 18944,
+  "max_position_embeddings": 32768,
+  "max_window_layers": 28,
+  "model_type": "qwen2",
+  "num_attention_heads": 28,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 4,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.48.0",
+  "use_cache": false,
+  "use_sliding_window": false,
+  "vocab_size": 151669
+}

generation_config.json

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+  "bos_token_id": 151643,
+  "eos_token_id": 151645,
+  "transformers_version": "4.48.0",
+  "use_cache": false
+}

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+}

training_args.bin

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+oid sha256:905f683fce1ce72f00e226726802589cc69747cf609fedff3cbe1da9307762a1
+size 5624

training_params.json

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+{
+    "model": "willcb/Qwen2.5-7B-Math-Python-SFT",
+    "project_name": "autotrain-pldxg-msl0p",
+    "data_path": "TeichAI/gpt-5.1-codex-max-1000x",
+    "train_split": "train",
+    "valid_split": null,
+    "add_eos_token": true,
+    "block_size": 512,
+    "model_max_length": 1024,
+    "padding": "right",
+    "trainer": "sft",
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+    "log": "tensorboard",
+    "disable_gradient_checkpointing": false,
+    "logging_steps": -1,
+    "eval_strategy": "epoch",
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+    "auto_find_batch_size": true,
+    "mixed_precision": "bf16",
+    "lr": 3e-05,
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+    "batch_size": 6,
+    "warmup_ratio": 0.1,
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+    "optimizer": "adamw_torch",
+    "scheduler": "linear",
+    "weight_decay": 0.0,
+    "max_grad_norm": 1.0,
+    "seed": 333333,
+    "chat_template": "chatml",
+    "quantization": "int4",
+    "target_modules": "all-linear",
+    "merge_adapter": true,
+    "peft": true,
+    "lora_r": 64,
+    "lora_alpha": 128,
+    "lora_dropout": 0.05,
+    "model_ref": null,
+    "dpo_beta": 0.1,
+    "max_prompt_length": 128,
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+    "prompt_text_column": "prompt",
+    "text_column": "messages",
+    "rejected_text_column": "rejected_text",
+    "push_to_hub": true,
+    "username": "lainlives",
+    "unsloth": false,
+    "distributed_backend": "ddp"
+}