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navya-1c-sft
navyam-ai/navya-1c-sft
navya-1c-sft is a text generation model from navyam-ai. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
Navya is an India-first financial foundation model family, trained from scratch on an India-first corpus (finance + English + Hindi/Hinglish and other Indian languages), custom 64k tokenizer.
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Parameters
1.3B
5.2 GB on disk
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Repo makeup
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.safetensors5.2 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- llama
- Access
- Public
- Created
- Sep 6, 2026
- Updated
- Sep 6, 2026
- SHA
- c4614ead
Try a prompt
Model card
From the Hugging Face model README
navya-1c-sft
Navya is an India-first financial foundation model family, trained from scratch on an India-first corpus (finance + English + Hindi/Hinglish and other Indian languages), custom 64k tokenizer.
| Parameters | 1.31B |
| Training tokens | ~103B |
| Trained | Sep 2026 |
| Type | chat (SFT) |
| Author | Navyam AI (Bachatt) |
| License | Apache-2.0 |
| Code | https://github.com/bachatt-app/navyam-gpt |
1.31B base (~103B tokens + cooldown) then SFT on the India-finance corpus (val loss ~1.09). The model currently live on navyam.ai.
Intended use: India personal-finance Q&A. Research model — not investment advice.
Chat template
Role tokens <|reserved_0..4|> (system/user/assistant/tool/end_turn); generation stops on <|reserved_4|> and <|eos|>.
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
tok = AutoTokenizer.from_pretrained("navyam-ai/navya-1c-sft")
model = AutoModelForCausalLM.from_pretrained("navyam-ai/navya-1c-sft")
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- License
- apache-2.0
- Languages
- en, hi
- Created
- Sep 6, 2026
- Updated
- Sep 6, 2026