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Llama 3 SauerkrautLM 70B Instruct GPTQ 8B by cortecs

 »  All LLMs  »  cortecs  »  Llama 3 SauerkrautLM 70B Instruct GPTQ 8B   URL Share it on

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  8-bit   8bit   Autotrain compatible   Conversational   Dataset:leolm/wikitext-en-de   Endpoints compatible   Gptq   Instruct   Llama   Quantized   Region:us   Sharded   Tensorflow

Llama 3 SauerkrautLM 70B Instruct GPTQ 8B Benchmarks

LLME Score: 0.20685
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 70B Instruct GPTQ 8B Parameters and Internals

Model Type 
text generation
Additional Notes 
We did not check for data contamination. Evaluation was done using Eval Harness limit=1000.
LLM NameLlama 3 SauerkrautLM 70B Instruct GPTQ 8B
Repository 🤗https://huggingface.co/cortecs/Llama-3-SauerkrautLM-70b-Instruct-GPTQ-8b 
Base Model(s)  ...ma 3 SauerkrautLM 70B Instruct   VAGOsolutions/Llama-3-SauerkrautLM-70b-Instruct
Model Size70b
Required VRAM74.4 GB
Updated2024-11-22
Maintainercortecs
Model Typellama
Instruction-BasedYes
Model Files  10.0 GB: 1-of-8   9.8 GB: 2-of-8   9.9 GB: 3-of-8   9.9 GB: 4-of-8   10.0 GB: 5-of-8   9.9 GB: 6-of-8   9.9 GB: 7-of-8   5.0 GB: 8-of-8
GPTQ QuantizationYes
Quantization Typegptq|8bit
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typefloat16
Llama 3 SauerkrautLM 70B Instruct GPTQ 8B (cortecs/Llama-3-SauerkrautLM-70b-Instruct-GPTQ-8b)

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Note: green Score (e.g. "73.2") means that the model is better than cortecs/Llama-3-SauerkrautLM-70b-Instruct-GPTQ-8b.

Rank the Llama 3 SauerkrautLM 70B Instruct GPTQ 8B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110
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