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Independent publisher

Matthew

americansquid

Models in Library2
Datasets in Library0
Models on Hugging Face8
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This profile connects the 2 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: Text generation.

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 · Text generation

qwen3.5-0.8b-grammarly

Matthew

This model is a fine-tuned version of Qwen/Qwen3.5-0.8B. It has been trained using TRL. This model was trained with SFT. - PEFT 0.21.0

Open weights peft

A fine-tuned google/functiongemma-270m-it model for naming chat sessions from a user's opening message. It produces a setsessiontitle function call containing a concise title, rather than answering the message. The saved model is in functiongemmatitlemodel/, including full model weights, tokenizer, generation configuration, and chat template. - Generate a title of 3–7 words in sentence case. - Describe the user's task or conversation topic. - Preserve technical terms. - Return only a setsessiontitle tool call. Example output from the saved tuned evaluation: This is FunctionGemma's tool-call syntax, not JSON. The application must parse and validate the call before using the title. Install…

Open weights 268M parameters 32,768 tokens