As Autotrain compatible Base model:finetune:google/gem... Base model:google/gemma-7b 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-7b-finetuned-sft-Navarasa-2.0
Indic Gemma 7B Finetuned Sft Navarasa 2.0 Benchmarks
ARC: 54.61 vs 96.7 (so35)-43.5%
HellaSwag: 74.35 vs 95.3 (gpt4)-22%
MMLU: 54.15 vs 88.3 (so35)-38.7%
TruthfulQA: 49.59 vs 59 (gpt4)-15.9%
WinoGrande: 69.61 vs 87.5 (gpt4)-20.4%
GSM8K: 32.15 vs 96.4 (so35)-66.6%
LLME Score: 0.23664
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Indic Gemma 7B Finetuned Sft Navarasa 2.0 Parameters and Internals
| LLM Name | Indic Gemma 7B Finetuned Sft Navarasa 2.0 |
| Repository 🤗 | https://huggingface.co/Telugu-LLM-Labs/Indic-gemma-7b-finetuned-sft-Navarasa-2.0 |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 34 GB |
| Updated | 2025-02-05 |
| Maintainer | Telugu-LLM-Labs |
| Model Type | gemma |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | te en ta ml mr hi kn sd ne ur as gu bn pa or |
| Model Architecture | GemmaForCausalLM |
| License | other |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.38.2 |
| Tokenizer Class | GemmaTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 256000 |
| Torch Data Type | float32 |
Best Alternatives to Indic Gemma 7B Finetuned Sft Navarasa 2.0
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Gemma Ko 7B Instruct V0.62 | 8K / 17 GB | 7810 | 2 |
| Gemma Ko 7B Instruct V0.71 | 8K / 17 GB | 2287 | 1 |
| Gemma Ko 7B Instruct V0.52 | 8K / 17 GB | 2285 | 0 |
| Gemma Ko 7B Instruct V0.50 | 8K / 17 GB | 2284 | 0 |
| X Instruction 7B Ta | 8K / 17.1 GB | 5 | 0 |
| X Instruction 7B Id | 8K / 17.1 GB | 5 | 0 |
| RoGemma 7B Instruct | 8K / 17.1 GB | 43 | 1 |
| X Instruction 7B 10langs | 8K / 17.1 GB | 5 | 0 |
| Zephyr Gemma 7B Telugu | 8K / 17.1 GB | 7 | 2 |
| ...emma 7B It Legal Refugiados Es | 8K / 34 GB | 11 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Telugu-LLM-Labs/Indic-gemma-7b-finetuned-sft-Navarasa-2.0 .
Rank the Indic Gemma 7B Finetuned Sft Navarasa 2.0 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227