Gemma 4 for Janas-LLM
Collection
Gemma-4-E2B writes 38 tok/s vs 19 for llama.cpp, 26B-A4B 18 vs 12, on a 32 GB laptop. Gemma 4 models converted for Janas-LLM. • 4 items • Updated
gemma-4-26B-A4B-it for Janas-LLM
On a laptop running Debian 13 Linux, with an Intel Core Ultra 9 185H, its integrated Arc GPU and 32 GB of memory, Janas-LLM reads a prompt at 84 tok/s and writes at 18 tok/s, 26 tok/s with its own assistant in a chat: llama.cpp, on the same laptop, 76 and 12.
| On the same laptop | Janas-LLM | llama.cpp |
|---|---|---|
| reading a prompt of 1,024 tokens | 84 tok/s | 76 tok/s |
| writing (16 tokens) | 18 tok/s | 12 tok/s |
| writing in a chat, with its own assistant | 26 tok/s | not measured |
Measured on 9-11 October 2026: llama-bench -p 1024 -n 16 and janas-bench --prompt 1024 --gen 16, both at their best configuration; the drafts with janas-bench on a chat reply, the mean of three rounds (a draft guesses the next tokens and the model checks them: the same text, faster). On other machines the figures will differ. Details: Janas README.
The machine these figures come from
- Debian 13 (trixie) Linux, x86-64, kernel 6.12.107
- Intel Core Ultra 9 185H: 6 performance cores, 8 efficiency cores, 2 low-power cores; AVX2, FMA, F16C, AVX-VNNI
- its integrated Intel Arc GPU, through the Vulkan driver of Mesa 26.1.6
- 32 GB of DDR5-5600 memory
- a 1 TB NVMe SSD, about 5.7 GB/s reading
- llama.cpp build
2b18470(18 September 2026), Vulkan backend
These are the model's weights converted to JNS, the format of Janas-LLM, the inference engine in C of Janas, for ordinary computers, with or without a GPU. The files are read by Janas-LLM only.
Get it
Janas-LLM for Linux x86-64 (Ubuntu 22.04, Debian 12 and later), then the model:
curl -LO https://github.com/prabanta-dev/janas/releases/latest/download/janas-linux-x86_64.tar.gz
tar xf janas-linux-x86_64.tar.gz && cd janas
./janas-get gemma-4-26b-a4b
./janas-chat gemma-4-26b-a4b
janas-get downloads the files of this repository and checks them against the fingerprints below; janas-chat with no model shows the catalog and downloads the one you choose. Building Janas-LLM from its sources instead: prabanta-dev/janas.
Files
| File | Size | SHA-256 | Converted from |
|---|---|---|---|
gemma-4-26b-a4b-it-udq4km.jns |
18.30 GB | 35c3845bbc21de52bf630d3c7455b4bb5379c34487b5925e020ec2e573931666 |
unsloth/gemma-4-26B-A4B-it-GGUF gemma-4-26B-A4B-it-UD-Q4_K_M.gguf (catalog name gemma-4-26b-a4b: Gemma-4-26B-A4B-it, mixture of experts, with its assistant) |
gemma-4-26b-it-mtp.jns |
0.46 GB | 6ba24ee91fe6fe904b29919acbb654a66d9caa0aba67db1df9f921a76e5bcedf |
unsloth/gemma-4-26B-A4B-it-GGUF mtp-gemma-4-26B-A4B-it.gguf |
What was changed
These files are a modified work of the original model, as the Apache License 2.0 requires to be stated. Nothing was retrained or pruned: each file is a GGUF file quantized by the people named above, rewritten by Janas-LLM's gguf2jns in the order Janas reads it, with the metadata carried over. Each (layer, expert) has a slot of its own, so that the experts a token needs can be read from disk on their own. The assistant (a small model that drafts the next tokens) was converted from its own GGUF in the same way.
Licence and attribution
Licensed under the Apache License 2.0, as the original model: see LICENSE.
- Model: google/gemma-4-26B-A4B-it, by Google.
- Quantized GGUF: unsloth/gemma-4-26B-A4B-it-GGUF, by its authors.
- Converted to JNS by the Janas project with Janas-LLM (prabanta-dev/janas, GPL-3.0-or-later; the licence of the engine does not apply to these files).
The original repository carries no LICENSE file; its card declares Apache 2.0. LICENSE here is the licence's text as the Apache Software Foundation publishes it.