Model by karanwadalkar

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  Arxiv:1910.09700   4bit   Autotrain compatible   Endpoints compatible   Llama   Pytorch   Quantized   Region:us   Sft   Sharded   Trl   Unsloth
Model Card on HF ๐Ÿค—: https://huggingface.co/karanwadalkar/model 

Model Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Model Parameters and Internals

LLM NameModel
Repository ๐Ÿค—https://huggingface.co/karanwadalkar/model 
Model Size8b
Required VRAM16.1 GB
Updated2025-06-09
Maintainerkaranwadalkar
Model Typellama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
Vocabulary Size128256
Torch Data Typefloat16
Model (karanwadalkar/model)

Best Alternatives to Model

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Context / RAM
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...B Instruct Gradient 1048K 4bit1024K / 4.5 GB102
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Llama 3 8B Instruct 1048K 4bit1024K / 4.5 GB14225
Llama 3 8B Instruct 1048K 8bit1024K / 8.6 GB9917
...ct Gradient 1048K Bpw2.25 EXL21024K / 3.4 GB401
... Gradient 1048K 8.0bpw H8 EXL21024K / 8.6 GB113
Llama 3 8B Instruct 262K 2bit256K / 2.5 GB251
...B Instruct 262k V2 EXL2 8.0bpw256K / 8.4 GB220
Note: green Score (e.g. "73.2") means that the model is better than karanwadalkar/model.

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