nyay-mitra is an open-weight model from Anamika Mukherjee. Its published files total 177.6 MB.
This is the model card of a transformers model that has been pushed on the Hub. Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. Use the code below to get started with the model.
Model Card
This is the model card of a transformers model that has been pushed on the Hub. Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. Use the code below to get started with the model. Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
Excerpt from the card by Anamika Mukherjee.
Identity and Version
- Repository
- anamika-mukherjee/nyay-mitra
- Publisher
- Anamika Mukherjee
- Task
- Not stated by the source
- Modality
- Other
- Library
- transformers
- Parameters
- Not stated by the source
- Languages
- Not stated by the source
- Revision
- dd5ff71c51bd5b382d7666cc143cd5e63ba2519e
- First published
- 2026-09-24
- Last updated
- 2026-09-26
Files and Weights
11 files, 177.6 MB in total. The weights are 1 file totalling 161.5 MB in safetensors.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| adapter_model.safetensors | Weights | 161.5 MB | d7a47d4983fe |
| adapter_config.json | Configuration | 1.1 KB | — |
| added_tokens.json | Configuration | 629 B | — |
| special_tokens_map.json | Configuration | 521 B | — |
| README.md | Documentation | 5.4 KB | — |
| gitattributes | Other | 1.6 KB | — |
| .gitattributes | Repository | 1.6 KB | — |
| merges.txt | Tokenizer | 1.8 MB | — |
| tokenizer.json | Tokenizer | 11.4 MB | 9c5ae00e602b |
| tokenizer_config.json | Tokenizer | 7.5 KB | — |
| vocab.json | Tokenizer | 2.8 MB | — |
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
- Download size
- 161.5 MB
Released by Anamika Mukherjee through its official repository on Hugging Face.
Built From
- Described by arXiv:1910.09700
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 161.5 MB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.