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Model by karanwadalkar

 »  All LLMs  »  karanwadalkar  »  Model   URL Share it on

  14   
  Arxiv:1910.09700   4bit   Autotrain compatible   Endpoints compatible   Llama   Pytorch   Quantized   Region:us   Sft   Sharded   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/karanwadalkar/model 

Model Benchmarks

LLME Score: 0.17734
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 🤗https://huggingface.co/karanwadalkar/model 
Model Size8b
Required VRAM16.1 GB
Updated2025-06-11
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

Best Alternatives
Context / RAM
Downloads
Likes
...B Instruct Gradient 1048K 8bit1024K / 8.6 GB701
...B Instruct Gradient 1048K 4bit1024K / 4.5 GB212
...truct Gradient 1048K Bpw5 EXL21024K / 5.8 GB390
...truct Gradient 1048K Bpw6 EXL21024K / 6.7 GB142
Llama 3 8B Instruct 1048K 4bit1024K / 4.5 GB17825
Llama 3 8B Instruct 1048K 8bit1024K / 8.6 GB11117
...ct Gradient 1048K Bpw2.25 EXL21024K / 3.4 GB571
... Gradient 1048K 8.0bpw H8 EXL21024K / 8.6 GB143
Llama 3 8B Instruct 262K 2bit256K / 2.5 GB401
...B Instruct 262k V2 EXL2 8.0bpw256K / 8.4 GB400
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  
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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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