LLM Speculative Decoding
Collection
Tiny language models meant to serve as draft models for speculative decoding.
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6 items
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smol_llama-220M-GQA-32k-theta-sft
Experimental model meant to serve as a long-context speculative decoding model.
Created using Doctor-Shotgun/smol_llama-220M-GQA-32k-theta and finetuning at 32768 context length on several instruction datasets.
This variant uses the rope theta (rope frequency base) method for context extension.
The trained instruction format is Alpaca:
### Instruction:
{{instruction}}
### Input:
{{user input}}
### Response:
{{model response}}
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