初始化项目，由ModelHub XC社区提供模型

Model: Joseph717171/Mistral-10.7B-v0.2
Source: Original Platform

README.md

@@ -0,0 +1,46 @@
+---
+base_model: []
+library_name: transformers
+tags:
+- mergekit
+- merge
+license: apache-2.0
+---
+# Credit for the model card's description goes to ddh0 and mergekit
+# Looking for [Mistral-10.7B-Instruct-v0.2?](https://huggingface.co/ddh0/Mistral-10.7B-Instruct-v0.2)
+# Credit for access and conversion of Mistral-7B-v0.2 goes to alpindale (from MistalAI's weights to HF Transformers)
+# Mistral-10.7B-v0.2
+This is Mistral-10.7B-v0.2, a depth-upscaled version of [alpindale/Mistral-7B-v0.2-hf](https://huggingface.co/alpindale/Mistral-7B-v0.2-hf).
+
+This model is intended to be used as a basis for further fine-tuning, or as a drop-in upgrade from the original 7 billion parameter model.
+
+Paper detailing how Depth-Up Scaling works:  [SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling](https://arxiv.org/abs/2312.15166)
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+### Merge Method
+
+This model was merged using the passthrough merge method.
+
+### Models Merged
+
+The following models were included in the merge:
+* /Users/jsarnecki/opt/Workspace/alpindale/Mistral-7B-v0.2-hf
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+dtype: bfloat16
+merge_method: passthrough
+slices:
+- sources:
+  - layer_range: [0, 24]
+    model: /Users/jsarnecki/opt/Workspace/alpindale/Mistral-7B-v0.2-hf
+- sources:
+  - layer_range: [8, 32]
+    model: /Users/jsarnecki/opt/Workspace/alpindale/Mistral-7B-v0.2-hf 
+
+```