Skip to page content
SAVRN
Search Plan a project

Independent publisher

Tom

tomngdev

Just learning

Models in Library3
Datasets in Library0
Models on Hugging Face7
Followers5

Compare the published evidence

This profile connects the 3 model and dataset records shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.

Published tasks: Image and text to text, Image to text.

Reported licenses: apache-2.0, openrail, other. Open a record to review its specific license and conditions.

Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.

Models

Model · Image and text to text

Swift1.5-Qwen3.8-Flash-Next-GGUF

Tom

Quantized version of ukisai/Swift1.5-Qwen3.8-Flash-Next using recipe from ISTA-DASLab/Qwen3.8-Flash-Next-GSQ-RCO-GGUF:IQ3S and imatrix file from unsloth/Qwen3.8-Flash-Next-GGUF. MTP is included, quantized to Q4KM using the same recipe from unsloth/Qwen3.8-Flash-Next-GGUF. Small changes to the GSQ-RCO recipe: Swift 1.5 Qwen3.8-Flash-Next is UkisAI's reasoning-efficient derivative of Qwen3.8-Flash-Next. It uses 63.4% fewer thinking tokens, with a 1.8x speed up while keeping the accuracy loss <1% vs base on xhigh. We gave base Qwen3.8-Flash-Next and Swift 1.5 Qwen3.8-Flash-Next the same prompt: Base Qwen3.8-Flash-Next took 8 minutes 52 seconds to build its game. Swift 1.5 took 4 minutes 56…

Open weights other
View model

The indra-ocr ONNX models (tag v3.1.1) plus a browser loader that runs them on onnxruntime-web (wasm). The pre/post-processing is ported from the In a bundler/npm app, skip the importmap and install onnxruntime-web. optional models. Without cross-origin isolation (COOP/COEP) the wasm backend runs single-threaded.

Open weights apache-2.0
View model