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Llama 3 SauerkrautLM 8B 16K Instruct AWQ by IntraFind

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Llama 3 SauerkrautLM 8B 16K Instruct AWQ is an open-source language model by IntraFind. Features: 8b LLM, VRAM: 5.7GB, Context: 8K, Quantized, Instruction-Based, LLM Explorer Score: 0.14, Arc: 73.7, HellaSwag: 89.4, MMLU: 68.1, GSM8K: 65.

  4-bit   Autotrain compatible   Awq   Conversational   Endpoints compatible   Instruct   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/IntraFind/Llama-3-SauerkrautLM-8b-16k-Instruct-AWQ 

Llama 3 SauerkrautLM 8B 16K Instruct AWQ Benchmarks

ARC: 73.72 vs 96.7 (so35)-23.8%
HellaSwag: 89.41 vs 95.3 (gpt4)-6.2%
MMLU: 68.07 vs 88.3 (so35)-22.9%
GSM8K: 64.97 vs 96.4 (so35)-32.6%
LLME Score: 0.13765
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 SauerkrautLM 8B 16K Instruct AWQ (IntraFind/Llama-3-SauerkrautLM-8b-16k-Instruct-AWQ)
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Llama 3 SauerkrautLM 8B 16K Instruct AWQ Parameters and Internals

Model Type 
text-generation
Additional Notes 
Model was quantized by mayflowergmbh. It is autotrain and endpoints compatible.
Training Details 
Methodology:
ROPE scaling
Context Length:
12000
LLM NameLlama 3 SauerkrautLM 8B 16K Instruct AWQ
Repository 🤗https://huggingface.co/IntraFind/Llama-3-SauerkrautLM-8b-16k-Instruct-AWQ 
Base Model(s)  ...ama 3 SauerkrautLM 8B Instruct   VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct
Model Size8b
Required VRAM5.7 GB
Updated2026-05-26
MaintainerIntraFind
Model Typellama
Instruction-BasedYes
Model Files  5.7 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than IntraFind/Llama-3-SauerkrautLM-8b-16k-Instruct-AWQ.

Rank the Llama 3 SauerkrautLM 8B 16K Instruct AWQ 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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