Create README.md

README.md

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+---
+license: apache-2.0
+model-index:
+- name: Rubra-Qwen2-7B-Instruct
+  results:
+  - task:
+      type: text-generation
+    dataset:
+      type: MMLU
+      name: MMLU
+    metrics:
+    - type: 5-shot
+      value: 68.88
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      type: GPQA
+      name: GPQA
+    metrics:
+    - type: 0-shot
+      value: 30.36
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      type: GSM-8K
+      name: GSM-8K
+    metrics:
+    - type: 8-shot, CoT
+      value: 75.82
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      type: MATH
+      name: MATH
+    metrics:
+    - type: 4-shot, CoT
+      value: 28.72
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      type: MT-bench
+      name: MT-bench
+    metrics:
+    - type: GPT-4 as Judge
+      value: 8.08
+      verified: false
+tags:
+- function-calling
+- tool-calling
+- agentic
+- rubra
+- conversational
+language:
+- en
+- zh
+---
+
+# Qwen2 7B Instruct GGUF
+
+Original model: [rubra-ai/Qwen2-7B-Instruct](https://huggingface.co/rubra-ai/Qwen2-7B-Instruct)
+
+## Model description
+The model is the result of further post-training [Qwen/Qwen2-7B-Instruct](https://huggingface.co/Qwen/Qwen2-7B-Instruct). It is capable of complex multi-turn tool/function calling.
+
+## Training
+
+The model was post-trained (freeze tuned & DPO) on a proprietary dataset consisting of diverse function calling, chat, and instruct data.
+
+## How to use
+Refer to https://docs.rubra.ai/inference/llamacpp for usage. Feel free to ask/open issues up in our Github repo: https://github.com/rubra-ai/rubra