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Indic Gemma 2B Finetuned Sft Navarasa 2.0 by Telugu-LLM-Labs

 »  All LLMs  »  Telugu-LLM-Labs  »  Indic Gemma 2B Finetuned Sft Navarasa 2.0   URL Share it on

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  As   Autotrain compatible Base model:finetune:google/gem...   Base model:google/gemma-2b   Bn   Dataset:abhinand/tamil-alpaca Dataset:hydraindiclm/bengali a... Dataset:hydraindiclm/punjabi a... Dataset:odiagenai/odia alpaca ... Dataset:ravithejads/samvaad-hi... Dataset:telugu-llm-labs/assame... Dataset:telugu-llm-labs/konkan... Dataset:telugu-llm-labs/marath... Dataset:telugu-llm-labs/nepali... Dataset:telugu-llm-labs/sindhi... Dataset:telugu-llm-labs/telugu... Dataset:telugu-llm-labs/telugu... Dataset:telugu-llm-labs/urdu a... Dataset:tensoic/airoboros-3.2 ... Dataset:tensoic/alpaca-gujarat...   Dataset:tensoic/gpt-teacher kn Dataset:vishnupj/alpaca instru...   Dataset:yahma/alpaca-cleaned   En   Endpoints compatible   Finetuned   Gemma   Gu   Hi   Instruct   Kn   Ml   Mr   Ne   Or   Pa   Region:us   Safetensors   Sd   Sharded   Ta   Te   Tensorflow   Ur
Model Card on HF 🤗: https://huggingface.co/Telugu-LLM-Labs/Indic-gemma-2b-finetuned-sft-Navarasa-2.0 

Indic Gemma 2B Finetuned Sft Navarasa 2.0 Benchmarks

ARC: 44.71 vs 96.7 (so35)-53.8%
HellaSwag: 68.4 vs 95.3 (gpt4)-28.2%
MMLU: 38.21 vs 88.3 (so35)-56.7%
TruthfulQA: 44.69 vs 59 (gpt4)-24.3%
WinoGrande: 65.11 vs 87.5 (gpt4)-25.6%
GSM8K: 9.25 vs 96.4 (so35)-90.4%
LLME Score: 0.22251
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Indic Gemma 2B Finetuned Sft Navarasa 2.0 (Telugu-LLM-Labs/Indic-gemma-2b-finetuned-sft-Navarasa-2.0)

Indic Gemma 2B Finetuned Sft Navarasa 2.0 Parameters and Internals

Model Type 
text generation
Additional Notes 
The model can also be inferred using the HuggingFace Library or Unsloth library for faster inference.
Supported Languages 
te (Telugu), en (English), ta (Tamil), ml (Malayalam), mr (Marathi), hi (Hindi), kn (Kannada), sd (Sindhi), ne (Nepali), ur (Urdu), as (Assamese), gu (Gujarati), bn (Bengali), pa (Punjabi), or (Odia)
Training Details 
Data Sources:
ravithejads/samvaad-hi-filtered, Telugu-LLM-Labs/telugu_teknium_GPTeacher_general_instruct_filtered_romanized, Telugu-LLM-Labs/telugu_alpaca_yahma_cleaned_filtered_romanized, Telugu-LLM-Labs/sindhi_alpaca_yahma_cleaned_filtered, Telugu-LLM-Labs/urdu_alpaca_yahma_cleaned_filtered, Telugu-LLM-Labs/marathi_alpaca_yahma_cleaned_filtered, Telugu-LLM-Labs/assamese_alpaca_yahma_cleaned_filtered, Telugu-LLM-Labs/konkani_alpaca_yahma_cleaned_filtered, Telugu-LLM-Labs/nepali_alpaca_yahma_cleaned_filtered, abhinand/tamil-alpaca, Tensoic/airoboros-3.2_kn, Tensoic/gpt-teacher_kn, VishnuPJ/Alpaca_Instruct_Malayalam, Tensoic/Alpaca-Gujarati, HydraIndicLM/punjabi_alpaca_52K, HydraIndicLM/bengali_alpaca_dolly_67k, OdiaGenAI/Odia_Alpaca_instructions_52k, yahma/alpaca-cleaned
Data Volume:
approx 650K instruction samples
Methodology:
LoRA finetuning on instruction datasets
Context Length:
2048
Training Time:
45 Hours
Hardware Used:
1 A100, 80GB GPU
Input Output 
Input Format:
### Instruction: {instruction} ### Input: {input} ## Response: {response}
LLM NameIndic Gemma 2B Finetuned Sft Navarasa 2.0
Repository 🤗https://huggingface.co/Telugu-LLM-Labs/Indic-gemma-2b-finetuned-sft-Navarasa-2.0 
Base Model(s)  Gemma 2B   google/gemma-2b
Model Size2b
Required VRAM10 GB
Updated2025-02-05
MaintainerTelugu-LLM-Labs
Model Typegemma
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   0.1 GB: 3-of-3
Supported Languageste en ta ml mr hi kn sd ne ur as gu bn pa or
Model ArchitectureGemmaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.38.2
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat32

Quantized Models of the Indic Gemma 2B Finetuned Sft Navarasa 2.0

Model
Likes
Downloads
VRAM
...B Malayalam T2 Model Vllm 4bit0762 GB
Gemma 2B Malayalam T2 Gguf051 GB

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Gemma 2B Sft Preview8K / 5 GB1150
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...ma Code Instruct Finetune Test8K / 5.1 GB60
...truct Finetune Test Mf Tuned 28K / 5.1 GB1272

Rank the Indic Gemma 2B Finetuned Sft Navarasa 2.0 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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