初始化项目，由ModelHub XC社区提供模型

Model: Azazelle/SlimMelodicMaid
Source: Original Platform

README.md

@@ -0,0 +1,146 @@
+---
+license: cc-by-4.0
+tags:
+- mistral
+- merge
+pipeline_tag: text-generation
+model-index:
+- name: SlimMelodicMaid
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: AI2 Reasoning Challenge (25-Shot)
+      type: ai2_arc
+      config: ARC-Challenge
+      split: test
+      args:
+        num_few_shot: 25
+    metrics:
+    - type: acc_norm
+      value: 67.15
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/SlimMelodicMaid
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: HellaSwag (10-Shot)
+      type: hellaswag
+      split: validation
+      args:
+        num_few_shot: 10
+    metrics:
+    - type: acc_norm
+      value: 86.01
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/SlimMelodicMaid
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU (5-Shot)
+      type: cais/mmlu
+      config: all
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 64.75
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/SlimMelodicMaid
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: TruthfulQA (0-shot)
+      type: truthful_qa
+      config: multiple_choice
+      split: validation
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: mc2
+      value: 60.88
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/SlimMelodicMaid
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: Winogrande (5-shot)
+      type: winogrande
+      config: winogrande_xl
+      split: validation
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 78.61
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/SlimMelodicMaid
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GSM8k (5-shot)
+      type: gsm8k
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 60.8
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/SlimMelodicMaid
+      name: Open LLM Leaderboard
+---
+# Model Card for xDAN-SlimOrca
+<!-- Provide a quick summary of what the model is/does. -->
+Slerp merge of Silicon-Maid-7B, piano-medley-7b, xDAN-L1-Chat-RL-v1, and mistral-7b-slimorcaboros.
+
+.yaml file for mergekit
+```.yaml:
+slices:
+  - sources:
+      - model: Azazelle/Silicon-Medley
+        layer_range: [0, 32]
+      - model: Azazelle/xDAN-SlimOrca
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: mistralai/Mistral-7B-v0.1
+parameters:
+  t:
+    - filter: self_attn
+      value: [0.19, 0.59, 0.43, 0.76, 1]
+    - filter: mlp
+      value: [0.81, 0.41, 0.57, 0.24, 0]
+    - value: 0.5 # fallback for rest of tensors
+dtype: float16
+```
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Azazelle__SlimMelodicMaid)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |69.70|
+|AI2 Reasoning Challenge (25-Shot)|67.15|
+|HellaSwag (10-Shot)              |86.01|
+|MMLU (5-Shot)                    |64.75|
+|TruthfulQA (0-shot)              |60.88|
+|Winogrande (5-shot)              |78.61|
+|GSM8k (5-shot)                   |60.80|
+