SAVRN Model Hub · Comparisons
Llama-3.2-1B-Instruct vs TinyLlama-1.1B-Chat-v1.0
Llama-3.2-1B-Instruct has 1.2B parameters and TinyLlama-1.1B-Chat-v1.0 has 1.1B parameters; Llama-3.2-1B-Instruct is released under llama3.2 and TinyLlama-1.1B-Chat-v1.0 under Apache License 2.0; at 16-bit, Llama-3.2-1B-Instruct needs about 3 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 | Llama-3.2-1B-Instruct meta-llama/Llama-3.2-1B-Instruct | TinyLlama-1.1B-Chat-v1.0 TinyLlama/TinyLlama-1.1B-Chat-v1.0 |
|---|---|---|
| Publisher | Meta Llama | TinyLlama |
| Task | Text generation | Text generation |
| Modality | Text | Text |
| Parameters, as reported | 1.2B parameters | 1.1B parameters |
| Architecture | LlamaForCausalLM | LlamaForCausalLM |
| Library | transformers | transformers |
| Context length | Not stated | 2,048 tokens |
| Repository size | 5.0 GB | 2.2 GB |
| Artifact formats | safetensors, pytorch | safetensors |
| License | llama3.2 | apache-2.0 |
| Access | Access requested at publisher | Open weights, no gate |
| Memory at 16-bit (weights and margin) | 3 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) | 0.7 GB | 0.7 GB |
| Cheapest GPUs at 4-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Revision viewed | 9213176726f5 | fe8a4ea1ffed |
| Downloads reported by the hub | 6.9M | 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.
Llama-3.2-1B-Instruct
| Benchmark | Conditions | Result | Reported by | Revision | Date |
|---|---|---|---|---|---|
| Idavidrein/gpqa | Task diamondMetric diamondSetup GPQA DiamondComparison conditions not established | 18.6869 | EvalEval Reported by a third party |
Evaluated revision not stated | 2026-04-16 |
SAVRN's Notes on Llama-3.2-1B-Instruct
We would run this as the small worker on a card already doing something else. Meta's instruction-tuned 1B is the smaller of the two Llama 3.2 sizes, tuned for multilingual dialogue, retrieval and summarization. At 16-bit it needs 3.0 GB to run, and the cheapest setup we list, one MI300X with 192 GB at $1.85 an hour on demand, is far more card than it needs; 4-bit takes it to 0.7 GB.
The license is Meta's own, llama3.2, not Apache or MIT, with no summary in our file; read it in full before you deploy. Access is gated: you request it from the publisher and accept the terms before the weights come down. The context length is not recorded here; confirm it with the publisher, and weigh the 3B sibling before you size. One attached paper covers SpinQuant quantization; read it before running at 4-bit.
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, Llama-3.2-1B-Instruct or TinyLlama-1.1B-Chat-v1.0?
Llama-3.2-1B-Instruct (1.2B parameters) is larger than TinyLlama-1.1B-Chat-v1.0 (1.1B parameters), by the parameter counts their publishers report.
Which is cheaper to run, Llama-3.2-1B-Instruct or TinyLlama-1.1B-Chat-v1.0?
At 4-bit, Llama-3.2-1B-Instruct 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 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.