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LLMWildling/gemma-4-opencoder-48b-a10b-nvfp4
gemma-4-opencoder-48b-a10b-nvfp4 is a text generation model from LLMWildling. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as gemma.
Gemma 4 OpenCoder 48B-A10B is a post-trained Gemma 4 coding model focused on OpenCode-style software engineering workflows, long-context reasoning, and tool use.
Downloads · 30 days
44
42% of all-time downloads
All-time downloads
106
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25.5B
29.8 GB on disk
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.safetensors29.8 GB · 100%
How the weights are stored.
U823.1B · 90%
From the Hugging Face model README
Gemma 4 OpenCoder 48B-A10B is a post-trained Gemma 4 coding model focused on OpenCode-style software engineering workflows, long-context reasoning, and tool use.
The model has approximately 48.1B total text parameters and approximately 9.5B active text parameters per token. It supports a 262K token context window through the underlying Gemma 4 configuration.
This NVFP4 release is intended for efficient serving in runtimes with Gemma 4 NVFP4, reasoning, and tool-calling support.
Run with reasoning and tool calling enabled.
In one continuous OpenCode chat, this checkpoint one-shot generated:




Use a Gemma 4 compatible runtime with reasoning and tool calling enabled. For NVFP4 serving, use a runtime build that supports Gemma 4 compressed-tensors NVFP4 MoE kernels.
Example:
vllm serve <repo-or-local-path> \
--trust-remote-code \
--reasoning-parser gemma4 \
--tool-call-parser gemma4 \
--enable-auto-tool-choice
For best results in OpenCode, keep the model's native chat template and enable thinking/reasoning mode.