初始化项目，由ModelHub XC社区提供模型

Model: nm-testing/Llama-2-7b-pruned40-retrained
Source: Original Platform

README.md

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+---
+base_model: meta-llama/Llama-2-7b-hf
+datasets:
+  - cerebras/SlimPajama-627B
+---
+Checkpoint of a [Llama 2 7B](https://huggingface.co/meta-llama/Llama-2-7b-hf) model that has had 50% of the parameters pruned in one-shot with SparseGPT, then retrained for 40B tokens from SlimPajama while maintaining sparsity.
+
+* Model: Llama 2
+* Size: 7B
+* LR: 3.00E-4
+* Dataset: SlimPajama
+* Retrained tokens: 40B
+* Notes: no warmup + decay to 0.0
+* Eval Harness:
+  * CommonSense Reasoning: 62.2 (97.65%)
+  * Reading Comprehension: 57.7 (98.30%)
+  * World Knowledge: 42.4 (97.65%)
+  * Math: 6.1 (74.39%)
+  * Code: 16.2 (98.78%)