Create README.md

README.md

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+---
+license: gemma
+model-index:
+- name: Rubra-Meta-Llama-3-8B-Instruct
+  results:
+  - task:
+      type: text-generation
+    dataset:
+      type: MMLU
+      name: MMLU
+    metrics:
+    - type: 5-shot
+      value: 38.85
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      type: GPQA
+      name: GPQA
+    metrics:
+    - type: 0-shot
+      value: 24.55
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      type: GSM-8K
+      name: GSM-8K
+    metrics:
+    - type: 8-shot, CoT
+      value: 6.14
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      type: MATH
+      name: MATH
+    metrics:
+    - type: 4-shot, CoT
+      value: 2.38
+      verified: false
+  - task:
+      type: text-generation
+    dataset:
+      type: MT-bench
+      name: MT-bench
+    metrics:
+    - type: GPT-4 as Judge
+      value: 5.75
+      verified: false
+tags:
+- function-calling
+- tool-calling
+- agentic
+- rubra
+- gemma
+- conversational
+language:
+- en
+---
+
+# Gemma-1.1 2B Instruct GGUF
+
+Original model: [rubra-ai/gemma-1.1-2b-it](https://huggingface.co/rubra-ai/gemma-1.1-2b-it)
+
+## Model Description
+Gemma-1.1-2B-IT is the result of post-training on the base model [google/gemma-1.1-2b-it](https://huggingface.co/google/gemma-1.1-2b-it). This model is designed for high performance in various instruction-following tasks and complex interactions, including multi-turn function calling and detailed conversations.
+
+## Training Data
+The model underwent additional training on a proprietary dataset encompassing diverse instruction-following, chat, and function calling data. This post-training process enhances the model's ability to integrate tools and manage complex interaction scenarios effectively.
+
+## 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