# Yubraj Sigdel: Open-Weight Models and Datasets
Source: https://savrn.com/model-publishers/syubraj
Markdown alternate of the page above; the site index is https://savrn.com/llms.txt

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## Models

Model · Sentence similarity

### [sentence_similarity_nepali_v2](https://savrn.com/models/sentence-similarity-nepali-v2)

[Yubraj Sigdel](https://savrn.com/model-publishers/syubraj)

A Nepali sentence-embedding model. It maps a Nepali sentence (Devanagari script) to a 768-dimensional vector, so that sentences with similar meaning end up close together under cosine similarity. It is a Sentence Transformers model fine-tuned from Rajan/NepaliBERT on syubraj/stsbnepali, a Nepali translation of the STS Benchmark. The model was trained to output a cosine similarity that matches the STS score divided by 5. A score near 1.0 means the two sentences say the same thing, and a score near 0.0 means they are unrelated. The pooling step is a mean over token embeddings, weighted by the attention mask. - Scoring how similar two Nepali sentences are. - Semantic search and duplicate or…

Open weights 82M parameters 512 tokens sentence-transformers

[View model](https://savrn.com/models/sentence-similarity-nepali-v2)

Model · Text generation

### [DietRecommendation-Qwen2.5-0.5B](https://savrn.com/models/dietrecommendation-qwen2-5-0-5b)

[Yubraj Sigdel](https://savrn.com/model-publishers/syubraj)

A LoRA adapter for Qwen/Qwen2.5-0.5B-Instruct that turns a short user profile (age, gender, height, weight, activity level, dietary preference, daily calorie target) into a one-day meal plan with breakfast, lunch, snack and dinner. It is a small, fast, single-purpose model: about 2.2M trainable parameters on top of a 0.5B base, usable on CPU. The adapter was trained on one fixed prompt layout. Use the same system prompt and the same field names and order, otherwise quality drops. Two details matter: - Pass the system prompt explicitly. Without it, the chat template inserts Qwen's default system prompt, which the adapter never saw. - The first field is spelled Ages: in the training data, so…

Open weights apache-2.0 peft

[View model](https://savrn.com/models/dietrecommendation-qwen2-5-0-5b)

## Explore More

- [All model publishers](https://savrn.com/model-publishers)
- [The model directory](https://savrn.com/models)
- [The dataset directory](https://savrn.com/datasets)

## Source

- Listed from their public repositories, read 2026-10-05.
- [Hugging Face profile](https://huggingface.co/syubraj)
- [How the hub is built](https://savrn.com/model-hub/methodology)