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Llama 30B Supercot 4bit by ausboss

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Llama 30B Supercot 4bit is an open-source language model by ausboss. Features: 30b LLM, VRAM: 16.9GB, Context: 2K, Quantized, HF Score: 58.7, LLM Explorer Score: 0.1, Arc: 64.9, HellaSwag: 85.1, MMLU: 56.6, TruthfulQA: 54, WinoGrande: 80, GSM8K: 11.9.

  4bit   Endpoints compatible   Llama   Pytorch   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/ausboss/llama-30b-supercot-4bit 

Llama 30B Supercot 4bit Benchmarks

ARC: 64.85 vs 96.7 (so35)-32.9%
HellaSwag: 85.08 vs 95.3 (gpt4)-10.7%
MMLU: 56.56 vs 88.3 (so35)-35.9%
TruthfulQA: 53.96 vs 59 (gpt4)-8.5%
WinoGrande: 80.03 vs 87.5 (gpt4)-8.5%
GSM8K: 11.9 vs 96.4 (so35)-87.7%
LLME Score: 0.09567
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 30B Supercot 4bit (ausboss/llama-30b-supercot-4bit)
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Llama 30B Supercot 4bit Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Additional Notes 
Compatible with 7B, 13B, and 30B 4-bit quantized LLaMa models, including ggml quantized converted bins. The structure of prompts becomes more critical for lower parameter sizes.
Training Details 
Methodology:
LoRA training for adaptation with langchain prompting
Input Output 
Input Format:
Instruction-Input-Response format
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Use suggestion suffixes to improve output quality.
LLM NameLlama 30B Supercot 4bit
Repository 🤗https://huggingface.co/ausboss/llama-30b-supercot-4bit 
Base Model(s)  Llama 30B Supercot   ausboss/llama-30b-supercot
Model Size30b
Required VRAM16.9 GB
Updated2026-03-29
Maintainerausboss
Model Typellama
Model Files  16.9 GB
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.28.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than ausboss/llama-30b-supercot-4bit.

Rank the Llama 30B Supercot 4bit 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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