Downloads · 30 days
102
52% of all-time downloads
LLMWildling/gemma-4-pawarshardul-opencoder-48b-a10b-bf16
gemma-4-pawarshardul-opencoder-48b-a10b-bf16 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 Pawarshardul OpenCoder 48B-A10B BF16 is a BF16 release of the OpenCoder checkpoint, post-trained for OpenCode-style software engineering workflows, long-context reasoning, and tool use.
Downloads · 30 days
102
52% of all-time downloads
All-time downloads
195
Public
Parameters
48.7B
97.3 GB on disk
Likes
1
Public
Click a slice to open those files.
.safetensors97.3 GB · 100%
From the Hugging Face model README
Gemma 4 Pawarshardul OpenCoder 48B-A10B BF16 is a BF16 release of the OpenCoder checkpoint, post-trained for 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 release is intended for high-memory serving environments that prefer BF16 weights.
Run with reasoning and tool calling enabled.
In OpenCode-style coding sessions, this checkpoint is intended for multi-file implementation, iterative editing, and reasoning-enabled tool use.
Use a Gemma 4 compatible runtime with reasoning and tool calling enabled.
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.