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--- |
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datasets: |
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- ehartford/WizardLM_evol_instruct_V2_196k_unfiltered_merged_split |
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- jondurbin/airoboros-gpt4-1.4.1 |
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- openai/summarize_from_feedback |
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- ehartford/wizard_vicuna_70k_unfiltered |
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language: |
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- en |
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tags: |
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- llama |
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--- |
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Trained on a flavorful melange of the WizardLM, Airoboros, and Wizard Vicuna datasets. |
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This model was trained using both linear and NTK-aware RoPE scaling in tandem. When loading, ensure that `compress_pos_emb` (or `scale`) is set to 2, and `alpha_value` is set to 4. *Both* values must be set. |
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Expect context length of up to 8192 to work for sure. It will probably maintain coherence into the ~12k range, but I have not tested that. |
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Prompt format is vicuna 1.1: |
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``` |
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<whatever nonsense system prompt you want> |
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USER: ... |
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ASSISTANT: ... |
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``` |
