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Model components / Fine-tuned / chat models

TinyLlama-1.1B-Chat-v1.0

TinyLlama

1.1B instruction-tuned chat model on the Llama 2 architecture, DPO-aligned from a TinyLlama base pretrained on three trillion tokens over about ninety days on sixteen A100 GPUs. It became a common sub-2B open chat baseline for edge and local-inference research.

Supervised on UltraChat 200k and aligned on UltraFeedback. The card publishes no benchmark table, so capability rests on size and architecture rather than a score. Verified 2026-08-13 via the model card.

Openness

5 high confidence
5.0
weights
open(Apache-2.0)
base
TinyLlama-1.1B(open, 3T-token pretrain documented)
post-training-data
open(SFT on UltraChat + DPO on UltraFeedback, both public datasets)
code
open(pretraining project public)
license
Apache-2.0(OSI)

Unusually transparent for a chat model: an open base, and named public alignment datasets (UltraChat for SFT, UltraFeedback for DPO). This category scores what the tuner released - the post-training data - rather than the base pretraining corpus. Zephyr scores fully open on these same two datasets while sitting on Mistral-7B, whose corpus is closed outright, so judging TinyLlama by its base while judging zephyr by its post-training set would penalize the more open of the two bases. One of the most open records in this category.

  • https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0 recorded 2026-08-13

    `license:apache-2.0` in the repo tags and `"gated":false`; base TinyLlama-1.1B; SFT on HuggingFaceH4/ultrachat_200k and DPO on HuggingFaceH4/ultrafeedback_binarized, both public; the TinyLlama pretraining project linked from the card

Adoption

4 high confidence
4.0

The single declared SKU reads 2,415,028 Hugging Face downloads in the trailing 30 days, solidly inside the 1M-10M band. A workhorse tiny-chat model for edge deployment, testing and CI, and for teaching.

Capability

1 high confidence
1.0

Intentionally tiny (1.1B, 2023 Llama-2 architecture). Its value is footprint and openness, not capability; scored 1 against a 2026 frontier comparison set. Not built to compete on reasoning/coding suites.

Verified 2026-08-13