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Open-weight model · Text generation

Qwen3.5-2B-JNS

by Prabanta Dev prabanta-dev/Qwen3.5-2B-JNS

Qwen3.5-2B-JNS is an open-weight model for text generation from Prabanta Dev, released under Apache License 2.0. Its published files total 1.3 GB.

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 441 tok/s and writes at 52 tok/s, 67 tok/s with its own draft block in a chat: llama.cpp, on the same laptop, 323 and…

Parameters—
Context—
Weights1.3 GB
Licenseapache-2.0
AccessOpen weights
Monthly Downloads—

Model Card

By Prabanta Dev, published under apache-2.0, revision c6017c5598cb.

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 441 tok/s and writes at 52 tok/s, 67 tok/s with its own draft block in a chat: llama.cpp, on the same laptop, 323 and 28. 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. - Debian 13 (trixie) Linux, x86-64, kernel 6.12.107 - its integrated Intel Arc GPU…

Read Prabanta Dev's full model card

Qwen3.5-2B 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 441 tok/s and writes at 52 tok/s, 67 tok/s with its own draft block in a chat: llama.cpp, on the same laptop, 323 and 28.

On the same laptop Janas-LLM llama.cpp
reading a prompt of 1,024 tokens 441 tok/s 323 tok/s
writing (16 tokens) 52 tok/s 28 tok/s
writing in a chat, with its own draft block 67 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 qwen3.5-2b
./janas-chat qwen3.5-2b

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
qwen3.5-2b-q4km.jns 1.28 GB 286118ea3ad1903890a593582e22bed82859bf7c38b0ff9ed043050e5bd572a6 unsloth/Qwen3.5-2B-GGUF Qwen3.5-2B-Q4_K_M.gguf (catalog name qwen3.5-2b: Qwen3.5-2B, dense, with its MTP block - the small one that calls tools well)
qwen3.5-2b-mtp-q4k.jns 0.05 GB 19c2d7eba1800acb10a06d7b38709ec92776e852cb2f25032ddd8977d17f2b05 the multi-token prediction tensors of Qwen/Qwen3.5-2B

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. The multi-token prediction block, not in the GGUF, was taken from the original checkpoint and quantized to Q4_K by Janas-LLM's hf2jns_mtp.

Licence and attribution

Licensed under the Apache License 2.0, as the original model: see LICENSE.

LICENSE is the original repository's own.

Identity and Version

Repository
prabanta-dev/Qwen3.5-2B-JNS
Publisher
Prabanta Dev
Task
Text generation
Modality
Text
Library
Not stated by the source
Parameters
Not stated by the source
Languages
jns
Revision
c6017c5598cbb613bf32e529c1c2a21bb5e15308
First published
2026-10-11
Last updated
2026-10-11

Files and Weights

5 files, 1.3 GB in total.

Documentation2 files · 15.5 KB
Other2 files · 1.3 GB
Repository1 file · 42 B
Every file
FileTypeSizeSHA-256
LICENSEDocumentation11.5 KB —
README.mdDocumentation4.0 KB —
qwen3.5-2b-mtp-q4k.jnsOther45.2 MB 19c2d7eba180
qwen3.5-2b-q4km.jnsOther1.3 GB 286118ea3ad1
.gitattributesRepository42 B —

License and Download

License
apache-2.0
Access
Open weights, no gate
Download from Prabanta Dev

Released by Prabanta Dev through its official repository on Hugging Face. Read the license.

Built From

Questions About Qwen3.5-2B-JNS

Can I use Qwen3.5-2B-JNS commercially?

Yes. Qwen3.5-2B-JNS is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.

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