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Model: amitagh/shivneri-llm-it-v0.2 Source: Original Platform
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README.md
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---
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library_name: transformers
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license: llama3
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datasets:
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- smallstepai/marathi-instruction-tuning-alpaca
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- ai4bharat/indic-align
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language:
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- mr
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- en
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---
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# Model Card for Model ID
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<!-- -->
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## Model Details
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Shivneri Marathi LLM is being built with the wish to bring the benefits of Generative AI to non-English (especially Marathi) speaking population of India.
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Marathi has the third largest number of native speakers in India, after Hindi and Bengali.
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Almost 83 million people speak the language.
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This is a preliminary version of our Marathi LLM (Large Language Model)!
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Built on the mighty Llama3 8B instruct model, Shivneri LLM can generate creative and informative text in both Marathi and English. This is just the beginning – we're constantly improving Shivneri, and even more exciting features are on the horizon!
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### Model Description
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<!-- -->
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Developed by:** Amit Ghadge
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [Amit Ghadge]
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- **Model type:** [ Decoder-only large language model (LLM) with a transformer architecture]
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- **Language(s) (NLP):** [Marathi, English]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [Meta-Llama-3-8B-Instruct]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [https://github.com/amitagh/shivneri-llm]
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- **Paper [optional]:** [https://www.linkedin.com/pulse/releasing-shivneri-llm-instruct-model-version-amit-ghadge-j051f/]
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- **Demo [optional]:** [Coming soon]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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This is a very preliminary version. Please use with caution. Would suggest to more updates and final models to try out.
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[SFT with Lora on mentioned datasets above]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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SFT with Lora
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### Model Architecture and Objective
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[ Decoder-only large language model (LLM) with a transformer architecture]
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### Compute Infrastructure
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[A100 80 GB]
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## Meet the Developers
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Get to know the creators behind this innovative model and follow their contributions to the field:
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- [Amit Ghadge](https://www.linkedin.com/in/amit-ghadge-a162a115/)
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## Model Release Date May 1st, 2024.
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Status This is a static model trained on an offline dataset. Future versions of the tuned models will be released as we improve model safety with community feedback.
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## License
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The model inherits the license from meta-llama3.
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## How to use
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Use pretty much remains the same as original Meta-Llama-3-8B-Instruct model. Visit its page for more details.
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With this model you can now use Marathi prompts and build conversational apps using it.
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## Citation [optional]
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If you use this model in your research, please cite:
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```bibtex
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@misc{amitghadge2024ShivneriLLMv01,
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title={Shivneri-LLM: Your Bilingual Marathi and English Text Generation LLM},
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author={Amit Ghadge},
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year={2024},
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eprint={https://www.linkedin.com/pulse/releasing-shivneri-llm-instruct-model-version-amit-ghadge-j051f/},
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}
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```
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We hope this model serves as a valuable tool in your NLP toolkit and look forward to seeing the advancements it will enable in the understanding and generation of the Marathi language.
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config.json
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"vocab_size": 128256
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|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.norm.weight": "model-00004-of-00004.safetensors"
|
||||
}
|
||||
}
|
||||
23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<|begin_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|end_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|end_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
410562
tokenizer.json
Normal file
410562
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
2063
tokenizer_config.json
Normal file
2063
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user