初始化项目，由ModelHub XC社区提供模型

Model: srmty/smolLM2-360M-instruct-math-v1
Source: Original Platform

README.md

@@ -0,0 +1,70 @@
+---
+license: apache-2.0
+base_model: HuggingFaceTB/SmolLM2-360M
+language:
+  - en
+pipeline_tag: text-generation
+tags:
+  - smollm2
+  - instruction-tuning
+  - supervised-fine-tuning
+  - alpaca
+  - math
+  - reasoning
+  - gpteacher
+  - metamath
+  - small-language-models
+---
+
+# SmolLM2-360M Math Instruct
+
+This is an instruction-tuned version of `HuggingFaceTB/SmolLM2-360M`.
+
+The model was fine-tuned on a small mixed instruction dataset containing general instruction-following examples and math reasoning examples.
+## Quick start
+
+```python
+import torch
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+model_id = "srmty/smolLM2-360M-math-instruct"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    torch_dtype=torch.float16 if torch.cuda.is_available() else torch.float32,
+    device_map="auto" if torch.cuda.is_available() else None,
+)
+
+if tokenizer.pad_token is None:
+    tokenizer.pad_token = tokenizer.eos_token
+
+model.eval()
+
+```
+
+
+## Training Data
+
+The training mix used:
+
+- `teknium/GPTeacher-General-Instruct`
+- `meta-math/MetaMathQA` subset
+
+The data was formatted using Alpaca-style prompts.
+
+## Prompt Format
+
+Use this format during inference:
+
+```text
+Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.
+
+### Instruction:
+{instruction}
+
+### Input:
+{input}
+
+### Response: