Edit model card


32k context finetune of TinyLlama-1.1B using increased rope theta (rope frequency base) meant to serve as a long-context speculative decoding model.

Created using TinyLlama-1.1B and further pretraining at 32768 context length on togethercomputer/RedPajama-Data-1T-Sample.

Of note, the base checkpoint used was from commit "final model" fad4f1a5cd0563ac41349b8fec2e6e51156568a0 which was subsequently reverted, and not the current main branch 3T checkpoint of TinyLlama-1.1B.

EXL2 Quants by turboderp

The quantized model fits alongside a 4.25bpw 70B model at 32k sequence length on a single A6000 and provides noticeable speed-up with speculative decoding.

Wikitext (wikitext-2-raw-v1_train) Perplexity (64 rows) as evaluated via exllamav2:

Model 2048 4096 8192 16384 32768
TinyLlama-1.1B 8.5633 208.3586 863.7507 1600.5021 6981.9021
TinyLlama-1.1B-32k 8.6548 7.8339 7.4904 7.3674 7.1338

Evaluation on HumanEval by turboderp:

Model Pass@1 Pass@10
TinyLlama-1.1B 0.0841 0.1524
TinyLlama-1.1B (NTK alpha=7.7) 0.0598 0.1098
TinyLlama-1.1B-32k-ckpt-554 0.0732 0.1402
TinyLlama-1.1B-32k 0.0829 0.1524
Downloads last month
Model size
1.1B params
Tensor type

Dataset used to train Doctor-Shotgun/TinyLlama-1.1B-32k

Collection including Doctor-Shotgun/TinyLlama-1.1B-32k