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Sanskrit Qwen2.5 7B Base by diabolic6045

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  Autotrain compatible   Axolotl Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-7b   Conversational Dataset:diabolic6045/sanskrit-...   Endpoints compatible   Language-model   Qwen2   Region:us   Sa   Safetensors   Sanskrit   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/diabolic6045/Sanskrit-Qwen2.5-7B-base 

Sanskrit Qwen2.5 7B Base Benchmarks

LLME Score: 0.24577
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sanskrit Qwen2.5 7B Base (diabolic6045/Sanskrit-Qwen2.5-7B-base)
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Sanskrit Qwen2.5 7B Base Parameters and Internals

LLM NameSanskrit Qwen2.5 7B Base
Repository 🤗https://huggingface.co/diabolic6045/Sanskrit-Qwen2.5-7B-base 
Base Model(s)  Qwen/Qwen2.5-7B   Qwen/Qwen2.5-7B
Model Size7b
Required VRAM15.2 GB
Updated2025-10-24
Maintainerdiabolic6045
Model Typeqwen2
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagessa
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.55.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Sanskrit Qwen2.5 7B Base

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Context / RAM
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Qwen2.5 7B Instruct 1M986K / 15.4 GB169878351
Hush Qwen2.5 7B V1.2986K / 15.2 GB31
Hush Qwen2.5 7B V1.1986K / 15.2 GB31
Hush Qwen2.5 7B V1.4986K / 15.2 GB31
Hush Qwen2.5 7B Preview986K / 15.2 GB50
Hush Qwen2.5 7B V1.3986K / 15.2 GB32
Qwen2.5 7B Preview986K / 15.2 GB50
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB22
Qwen 2.5 7B Exp Sce986K / 15.2 GB22
Qwen2.5 7B MixStock V0.1986K / 15.2 GB43
Note: green Score (e.g. "73.2") means that the model is better than diabolic6045/Sanskrit-Qwen2.5-7B-base.

Rank the Sanskrit Qwen2.5 7B Base 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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Release v20241124
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