SAVRN Model Hub · Comparisons
gemma-3-1b-it vs TinyLlama-1.1B-Chat-v1.0
Gemma-3-1b-it has 1B parameters and TinyLlama-1.1B-Chat-v1.0 has 1.1B parameters; gemma-3-1b-it is released under Gemma Terms of Use and TinyLlama-1.1B-Chat-v1.0 under Apache License 2.0; at 16-bit, gemma-3-1b-it needs about 2.4 GB (1x MI300X from $1.85 an hour) and TinyLlama-1.1B-Chat-v1.0 about 2.6 GB (1x MI300X from $1.85 an hour).
| Field | gemma-3-1b-it google/gemma-3-1b-it | TinyLlama-1.1B-Chat-v1.0 TinyLlama/TinyLlama-1.1B-Chat-v1.0 |
|---|---|---|
| Publisher | TinyLlama | |
| Task | Text generation | Text generation |
| Modality | Text | Text |
| Parameters, as reported | 1B parameters | 1.1B parameters |
| Architecture | Gemma3ForCausalLM | LlamaForCausalLM |
| Library | transformers | transformers |
| Context length | Not stated | 2,048 tokens |
| Repository size | 2.0 GB | 2.2 GB |
| Artifact formats | safetensors | safetensors |
| License | gemma | apache-2.0 |
| Access | Access requested at publisher | Open weights, no gate |
| Memory at 16-bit (weights and margin) | 2.4 GB | 2.6 GB |
| Cheapest GPUs at 16-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Memory at 4-bit (weights and margin) | 0.6 GB | 0.7 GB |
| Cheapest GPUs at 4-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Revision viewed | dcc83ea841ab | fe8a4ea1ffed |
| Downloads reported by the hub | 3M | 1.5M |
| Last observed | 2026-09-18 | 2026-09-18 |
An evaluation row appears only where at least two of these models report the same benchmark with the same stated configuration, metric, unit and setup. Different evaluators stay named in each cell. Values are shown as reported: no unit conversion, no ranking.
Other Reported Results
These results are listed for each model on its own, because the conditions needed to compare them are not stated or do not match. Two results that leave a condition blank are not assumed to share it.
gemma-3-1b-it
| Benchmark | Conditions | Result | Reported by | Revision | Date |
|---|---|---|---|---|---|
| Idavidrein/gpqa | Task diamondMetric diamondSetup GPQA DiamondComparison conditions not established | 24.7475 | EvalEval Reported by a third party |
Evaluated revision not stated | 2026-04-16 |
| Idavidrein/gpqa | Task mainMetric mainSetup GPQA chain-of-thoughtComparison conditions not established | 16.8161 | EvalEval Reported by a third party |
Evaluated revision not stated | 2026-06-30 |
SAVRN's Notes on gemma-3-1b-it
At 16-bit the memory bill for this instruction-tuned text generator is 2.4 GB, and at 4-bit it is 0.6 GB. The cheapest card on our Index that clears either is one MI300X, 192 GB at $1.85 an hour on-demand, so the hourly price reflects the card market, not anything a 1B-parameter model needs. The 8-bit build lands at 1.2 GB. It shares a card you already own; nobody provisions a machine for it.
Access is gated: the files come from Google once you accept the Gemma Terms of Use, which allow commercial use and redistribution but attach the Prohibited Use Policy to every copy you distribute. Fine-tune it, ship it inside a product, and those restrictions ship too. It derives from gemma-3-1b-pt, the base for your own instruction tuning. The page lists no context length for this checkpoint and no host prices, so confirm the window before sizing prompts.
SAVRN's Notes on TinyLlama-1.1B-Chat-v1.0
Where the whole 16-bit model fits in 2.6 GB, the hardware question flips from which accelerator to how many copies. The Index floor is one MI300X with 192 GB at $1.85 per hour; 8-bit needs 1.3 GB and 4-bit 0.7 GB. We read TinyLlama-1.1B-Chat-v1.0 as a chat model for tight footprints: 1.1 billion parameters, a 2,048-token window, and the same architecture and tokenizer as Llama 2, which the publisher says lets it drop into projects built around Llama.
Apache 2.0 permits commercial use, modification and redistribution, requires keeping notices and stating significant changes, and includes an express patent grant, so a fine-tuned derivative is straightforward to ship. Check the lineage before committing: the chat tuning traces to ultrachat_200k and ultrafeedback_binarized on top of SlimPajama-627B and starcoderdata, and the 2,048-token window rules out long-document work.
Questions
Which is larger, gemma-3-1b-it or TinyLlama-1.1B-Chat-v1.0?
TinyLlama-1.1B-Chat-v1.0 (1.1B parameters) is larger than gemma-3-1b-it (1B parameters), by the parameter counts their publishers report.
Which is cheaper to run, gemma-3-1b-it or TinyLlama-1.1B-Chat-v1.0?
At 4-bit, gemma-3-1b-it fits on 1x MI300X from $1.85 an hour and TinyLlama-1.1B-Chat-v1.0 on 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.
Can I use gemma-3-1b-it commercially?
Yes, with conditions. gemma-3-1b-it is released under Gemma Terms of Use. Gemma models are released under Google's Gemma Terms of Use, which permit commercial use and redistribution subject to the Gemma Prohibited Use Policy, whose restrictions must be passed on to anyone the model is distributed to.
Can I use TinyLlama-1.1B-Chat-v1.0 commercially?
Yes. TinyLlama-1.1B-Chat-v1.0 is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.