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Gemma 2B Samvaad by Tensoic

 »  All LLMs  »  Tensoic  »  Gemma 2B Samvaad   URL Share it on

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  Autotrain compatible Base model:finetune:google/gem...   Base model:google/gemma-2b   Dataset:sarvamai/samvaad-hi-v1   Endpoints compatible   Full   Gemma   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Tensoic/Gemma-2B-Samvaad 

Gemma 2B Samvaad Benchmarks

ARC: 46.59 vs 96.7 (so35)-51.8%
HellaSwag: 68.17 vs 95.3 (gpt4)-28.5%
MMLU: 33.09 vs 88.3 (so35)-62.5%
TruthfulQA: 39.95 vs 59 (gpt4)-32.3%
WinoGrande: 61.64 vs 87.5 (gpt4)-29.6%
GSM8K: 5.84 vs 96.4 (so35)-93.9%
LLME Score: 0.17863
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 2B Samvaad (Tensoic/Gemma-2B-Samvaad)
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Gemma 2B Samvaad Parameters and Internals

Training Details 
Data Sources:
sarvamai/samvaad-hi-v1
Hardware Used:
multi-GPU (4 devices)
LLM NameGemma 2B Samvaad
Repository 🤗https://huggingface.co/Tensoic/Gemma-2B-Samvaad 
Base Model(s)  Gemma 2B   google/gemma-2b
Model Size2b
Required VRAM10 GB
Updated2025-08-23
MaintainerTensoic
Model Typegemma
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   0.1 GB: 3-of-3   0.0 GB
Model ArchitectureGemmaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.39.0.dev0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than Tensoic/Gemma-2B-Samvaad.

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Release v20241124
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