leDissolution/gewell

Gemma 4 inference engine

Cuda

10

16 commits

updated Oct 12, 2026

See the code

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Gewell v0.2 - 26B-A4B, 46k tok/s prefill, and full-precision EmbeddingGemma 2 in 1.13 GiB (r/LocalLLaMA)

**# EmbeddingGemma2** This thing is *\*amazing\**. Seriously. Lets you search your images with text prompts and the text with video prompts. I'm currently in the process of embedding like half of my storage.# EmbeddingGemma2 This thing is \*amazing\*. Seriously. Lets you search your images with…

0

Oct 12, 2026

README

gewell

Gewell is a single-GPU inference engine for Gemma 4 31B, 26B A4B and EmbeddingGemma 2 on NVIDIA Blackwell GPUs with compute capability 12.0 (sm_120a) (potentially more to come).

Features include streamed responses, PNG/JPEG image input with configurable per-image token budgets, tool conversations, JSON-constrained answers, continuous batching, prefix caching with optional CPU storage, and MTP speculative decoding using the Gemma assistant. Local and global KV storage can use BF16 or FP8 (no, I will not be implementing FP4. Go lobotomize your models somewhere else).

EmbeddingGemma 2 provides BF16 text, image, video, and audio embeddings through a dedicated serve-embeddings server.

Get started

  1. Build the engine.
  2. Obtain or convert a model bundle.
  3. Launch the server and send a request.

Reference

leDissolution/gewell

Gemma 4 inference engine

Cuda

10

16 commits

updated Oct 12, 2026

See the code

See what people are saying

SourceMessageScoreDate

Gewell v0.2 - 26B-A4B, 46k tok/s prefill, and full-precision EmbeddingGemma 2 in 1.13 GiB (r/LocalLLaMA)

**# EmbeddingGemma2** This thing is *\*amazing\**. Seriously. Lets you search your images with text prompts and the text with video prompts. I'm currently in the process of embedding like half of my storage.# EmbeddingGemma2 This thing is \*amazing\*. Seriously. Lets you search your images with…

0

Oct 12, 2026

README

gewell

Gewell is a single-GPU inference engine for Gemma 4 31B, 26B A4B and EmbeddingGemma 2 on NVIDIA Blackwell GPUs with compute capability 12.0 (sm_120a) (potentially more to come).

Features include streamed responses, PNG/JPEG image input with configurable per-image token budgets, tool conversations, JSON-constrained answers, continuous batching, prefix caching with optional CPU storage, and MTP speculative decoding using the Gemma assistant. Local and global KV storage can use BF16 or FP8 (no, I will not be implementing FP4. Go lobotomize your models somewhere else).

EmbeddingGemma 2 provides BF16 text, image, video, and audio embeddings through a dedicated serve-embeddings server.

Get started

  1. Build the engine.
  2. Obtain or convert a model bundle.
  3. Launch the server and send a request.

Reference