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Don't just take my word for it. Test the model right now under the exact conditions shown in the video demonstration.

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Model Details

  • Model Type: Causal Language Model
  • Number of Parameters: 4.0B
  • Number of Parameters (Non-Embedding): 3.6B
  • Number of Layers: 36
  • Number of Attention Heads (GQA): 32 for Q, 8 for KV
  • Context Length: 262,144 tokens (native)

Recommended Inference Parameters

For best results, I suggest using the following generation parameters:

  • Temperature: 0.7
  • Top P: 0.8
  • Top K: 20
  • Min P: 0.0

How to Contribute & Provide Feedback For any and all feedback, please open a Community discussion tab on this model repository or join our Discord! Discord: https://discord.gg/RqwqMGhqaC

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