gemma-3n-E4B-it
By unsloth. 8.4 billion parameters, a context window of 32,768 tokens and the licence gemma.
Facts
- Released
- 2025-06-26 the day the repository was first published on Hugging Face Hugging Face, read
- Licence
- gemma the licence the model card declares Hugging Face, read
- Open weights
- Yes the weights are published in this Hugging Face repository Hugging Face, read
- Parameters
- 8.4 billion counted from the safetensors weight files Hugging Face, read
- Active parameters
- Unknown
- Knowledge cutoff
- Unknown
- Context window
- 32,768 tokens the maximum position embeddings in the model configuration model configuration, read
- Longest output
- Unknown
- Tool calling
- No the chat template in the tokenizer configuration has no place for tool definitions Hugging Face, read
- Structured output
- Unknown
- Reasoning controls
- Unknown
- Inputs and outputs
- text, image in, text out Hugging Face, read
- Good for
- Vision: Hugging Face files it under image-text-to-text Hugging Face, read
Prices
No source lists a price for this model. It may only run on your own hardware.
Run it on your own hardware
Weights are the sizes of the files a source lists, or an estimate from the parameter count where none does. Memory is an estimate: weights plus KV cache plus 512 MiB and 5 percent of the weights for runtime buffers. Check it against your hardware.
| Quantization | Weights | Memory at 8,192 tokens | Memory at 32,768 tokens |
|---|---|---|---|
| F16 estimate | 15.6 GiB | 17.5 GiB | 19.1 GiB |
| Q8_0 estimate | 8.3 GiB | 9.8 GiB | 11.4 GiB |
| Q4_0 estimate | 4.4 GiB | 5.7 GiB | 7.3 GiB |
Start it with a local runtime
Use it from your harness
No endpoint in this directory serves this model yet.
Published results
These are results other people published. Baltor did not run them and does not rank models by them.
- Results the maker published on the model card published by unsloth Hugging Face, read
Sources of this page
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