Create model-index.yaml

model-index.yaml

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+---
+language:
+- en
+license: apache-2.0
+library_name: transformers
+tags:
+- text-generation
+- conversational
+- llama-2
+- causal-lm
+- autotrain_compatible
+pipeline_tag: text-generation
+base_model: meta-llama/Llama-2-7b-hf
+
+# Model metrics that show in the card
+model-index:
+- name: Helion-V1.5
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MT-Bench
+      type: mt-bench
+      config: default
+      split: test
+    metrics:
+    - type: score
+      value: 7.2
+      name: MT-Bench
+      verified: false
+  - task:
+      type: text-generation
+      name: Instruction Following
+    dataset:
+      name: AlpacaEval
+      type: alpaca_eval
+    metrics:
+    - type: win_rate
+      value: 78.5
+      name: Win Rate
+    - type: avg_length
+      value: 1847
+      name: Average Length
+
+# Display configuration
+extra_gated_prompt: false
+
+# Size and architecture info (shown in model card header)
+model_size: 7B
+quantization: 
+  - bitsandbytes
+  - gguf
+context_length: 4096
+architecture: llama-2
+
+# Widget examples for the model card
+widget:
+- text: "Write a Python function to calculate the Fibonacci sequence"
+  example_title: "Code Generation"
+  parameters:
+    max_new_tokens: 256
+    temperature: 0.7
+    top_p: 0.9
+- text: "Explain the concept of neural networks in simple terms"
+  example_title: "Technical Explanation"
+  parameters:
+    max_new_tokens: 300
+    temperature: 0.7
+- text: "Write a haiku about artificial intelligence"
+  example_title: "Creative Writing"
+  parameters:
+    max_new_tokens: 100
+    temperature: 0.9
+
+# Stats that appear in the header
+datasets:
+- custom
+inference: 
+  parameters:
+    temperature: 0.7
+    top_p: 0.9
+    max_new_tokens: 512
+    repetition_penalty: 1.1