We provide
f16
,
bf16
,
f32
, and
q8_0
GGUF files for llama.cpp / Ollama.
Usage Example
from transformers import AutoModelForCausalLM, AutoTokenizer
tok = AutoTokenizer.from_pretrained("ArunKr/gemma-3-270m-it-web-agent-16bit")
model = AutoModelForCausalLM.from_pretrained("ArunKr/gemma-3-270m-it-web-agent-16bit")
print(model.generate(**tok("Hello", return_tensors="pt")))
Ollama Example
ollama run ArunKr/SmolLM-135M-Instruct-manim-gguf:<file_name>.gguf
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ArunKr gemma-3-270m-it-web-agent-gguf online free url in huggingface.co:
gemma-3-270m-it-web-agent-gguf is an open source model from GitHub that offers a free installation service, and any user can find gemma-3-270m-it-web-agent-gguf on GitHub to install. At the same time, huggingface.co provides the effect of gemma-3-270m-it-web-agent-gguf install, users can directly use gemma-3-270m-it-web-agent-gguf installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
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