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Rohit Sharma by CharacterEcho

 »  All LLMs  »  CharacterEcho  »  Rohit Sharma   URL Share it on

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  Autotrain compatible   Conversational Dataset:characterecho/rohit-sh...   Endpoints compatible   Gguf   Imatrix   Q5   Quantized   Region:us   Safetensors   Sharded   Stablelm   Tensorflow
Model Card on HF 🤗: https://huggingface.co/CharacterEcho/Rohit-Sharma 

Rohit Sharma Benchmarks

LLME Score: 0.16102
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Rohit Sharma (CharacterEcho/Rohit-Sharma)
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Rohit Sharma Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
text generation, conversational AI, content creation
Applications:
generate content mimicking Rohit Sharma, develop chatbots that interact like Rohit Sharma, create articles, social media posts, or scripts
Supported Languages 
English (fluent)
LLM NameRohit Sharma
Repository 🤗https://huggingface.co/CharacterEcho/Rohit-Sharma 
Model Size3b
Required VRAM10.6 GB
Updated2025-10-21
MaintainerCharacterEcho
Model Typestablelm
Model Files  4.9 GB: 1-of-3   4.9 GB: 2-of-3   0.8 GB: 3-of-3   1.5 GB   1.9 GB
GGUF QuantizationYes
Quantization Typegguf|q5|q5_k
Model ArchitectureStableLmForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.42.3
Tokenizer ClassGPTNeoXTokenizer
Padding Token<|im_end|>
Vocabulary Size50280
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than CharacterEcho/Rohit-Sharma.

Rank the Rohit Sharma Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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