maybe a dumb question but what what does the "it" stand for in the 31B-it vs 31B?
Instruction Tuned. It indicates that thinking tokens (eg ) are not included in training.
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Google releases Gemma 4 open models
131–140 of 507 posts
Re: Google releases Gemma 4 open models
#132Thinking / reasoning + multimodal + tool calling. We made some quants at https://huggingface.co/collections/unsloth/gemma-4 for folks to run them - they work really well! Guide for those interested: https://unsloth.ai/docs/models/gemma-4 Also note to use temperature = 1.0, top_p = 0.95, top_k = 64 and the EOS is " ". " thought\n" is also used for the thinking trace!
Daniel, your work is changing the world. More power to you. I setup a pipeline for inference with OCR, full text search, embedding and summarization of land records dating back 1800s. All powered by the GGUF's you generate and llama.cpp. People are so excited that they can now search the records in multiple languages that a 1 minute wait to process the document seems nothing. Thank you!
Hey in really interested in your pipeline techniques. I've got some pdfs I need to get processed but processing them in the cloud with big providers requires redaction.
Wondering if a local model or a self hosted one would work just as well.
Re: Google releases Gemma 4 open models
#133D: Di Gi Charat does not like this nyo! Gemma is supposed to help Dejiko-chan nyo!
G: They offered a very compelling benefits package gemma!
Re: Google releases Gemma 4 open models
#134I'm curious about the multimodal capabilities on the E2B and E4B and how fast is it.
In ChatGPT right now, you can have a audio and video feed for the AI, and then the AI can respond in real-time.
Now I wonder if the E2B or the E4B is capable enough for this and fast enough to be run on an iPhone. Basically replicating that experience, but all the computations (STT, LLM, and TTS) are done locally on the phone.
I just made this [0] last week so I know you can run a real-time voice conversation with an AI on an iPhone, but it'd be a totally different experience if it can also process a live camera feed.
Re: Google releases Gemma 4 open models
#135Earlier quoted context omitted.
Will larger-parameter versions be released?
We are always figuring out what parameter size makes sense. The decision is always a mix between how good we can make the models from a technical aspect, with how good they need to be to make all of you super excited to use them. And its a bit of a challenge what is an ever changing ecosystem. I'm personally curious is there a certain parameter size you're looking for?
For the many DGX Spark and Strix Halo users with 128GB of memory, I believe the ideal model size would probably be a MoE with close to 200B total parameters and a low active count of 3B to 10B.
I would personally love to see a super sparse 200B A3B model, just to see what is possible. These machines don't have a lot of bandwidth, so a low active count is essential to getting good speed, and a high total parameter count gives the model greater capability and knowledge.
It would also be essential to have the Q4 QAT, of course. Then the 200B model weights would take up ~100GB of memory, not including the context.
The common 120B size these days leaves a lot of unused memory on the table on these machines.
I would also like the larger models to support audio input, not just the E2B/E4B models. And audio output would be great too!
Re: Google releases Gemma 4 open models
#136Hi all! I work on the Gemma team, one of many as this one was a bigger effort given it was a mainline release. Happy to answer whatever questions I can
Are there any plans for QAT / MXFP4 versions down the line?
Re: Google releases Gemma 4 open models
#137Thinking / reasoning + multimodal + tool calling. We made some quants at https://huggingface.co/collections/unsloth/gemma-4 for folks to run them - they work really well! Guide for those interested: https://unsloth.ai/docs/models/gemma-4 Also note to use temperature = 1.0, top_p = 0.95, top_k = 64 and the EOS is " ". " thought\n" is also used for the thinking trace!
Thank you for your work. You have an answer on your page regarding "Should I pick 26B-A4B or 31B?", but can you please clarify if, assuming 24GB vRAM, I should pick a full precision smaller model or 4 bit larger model?
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Re: Google releases Gemma 4 open models
#138So the "E2B" and "E4B" models are actually 5B and 8B parameters. Are we really going to start referring to the "effective" parameter count of dense models by not including the embeddings?
These models are impressive but this is incredibly misleading. You need to load the embeddings in memory along with the rest of the model so it makes no sense o exclude them from the parameter count. This is why it actually takes 5GB of RAM to run the "2B" model with 4-bit quantization according to Unsloth (when I first saw that I knew something was up).
Re: Google releases Gemma 4 open models
#139Re: Google releases Gemma 4 open models
#140Comparison of Gemma 4 vs. Qwen 3.5 benchmarks, consolidated from their respective Hugging Face model cards: | Model | MMLUP | GPQA | LCB | ELO | TAU2 | MMMLU | HLE-n | HLE-t | |----------------|-------|-------|-------|------|-------|-------|-------|-------| | G4 31B | 85.2% | 84.3% | 80.0% | 2150 | 76.9% | 88.4% | 19.5% | 26.5% | | G4 26B A4B | 82.6% | 82.3% | 77.1% | 1718 | 68.2% | 86.3% | 8.7% | 17.2% | | G4 E4B |…
So is there something I can take from that table if I have a 24 GB video card? I'm honestly not sure how to use those numbers.
I just tried with llama.cpp RTX4090 (24GB) GGUF unsloth quant UD_Q4_K_XL
You can probably run them all. G4 31B runs at ~5tok/s , G4 26B A4B runs at ~150 tok/s.
You can run Q3.5-35B-A3B at ~100 tok/s.
I tried G4 26B A4B as a drop-in replacement of Q3.5-35B-A3B for some custom agents and G4 doesn't respect the prompt rules at all. (I added in the system prompt as described (but have not spend time checking if the reasoning was effectively on). I'll need to investigate further but it doesn't seem promising.
I also tried G4 26B A4B with images in the webui, and it works quite well.
I have not yet tried the smaller models with audio.