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Llama 3 SauerkrautLM 70B Instruct GPTQ by cortecs

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  4-bit   4bit   Autotrain compatible   Conversational   Dataset:leolm/wikitext-en-de   Endpoints compatible   Gptq   Instruct   Llama   Quantized   Region:us

Llama 3 SauerkrautLM 70B Instruct GPTQ Benchmarks

LLME Score: 0.20602
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 Parameters and Internals

Model Type 
Text Generation
Use Cases 
Areas:
Research, Potential commercial applications
Primary Use Cases:
Text generation, Multimodal applications
Additional Notes 
Evaluation limit at 1000 using Eval. Harness.
Supported Languages 
English (Proficient), German (Proficient)
Safety Evaluation 
Ethical Considerations:
We did not check for data contamination.
Input Output 
Input Format:
Text prompt
Accepted Modalities:
Text
Output Format:
Text completion
LLM NameLlama 3 SauerkrautLM 70B Instruct GPTQ
Repository 🤗https://huggingface.co/cortecs/Llama-3-SauerkrautLM-70b-Instruct-GPTQ 
Base Model(s)  ...ma 3 SauerkrautLM 70B Instruct   VAGOsolutions/Llama-3-SauerkrautLM-70b-Instruct
Model Size70b
Required VRAM39.8 GB
Updated2024-11-22
Maintainercortecs
Model Typellama
Instruction-BasedYes
Model Files  39.8 GB
GPTQ QuantizationYes
Quantization Typegptq|4bit
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 (cortecs/Llama-3-SauerkrautLM-70b-Instruct-GPTQ)

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...ama 3.1 70B Instruct Gptq 4bit128K / 39.9 GB2234
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Meta Llama 3 70B Instruct GPTQ8K / 39.8 GB107617
...ama 3 Taiwan 70B Instruct GPTQ8K / 39.8 GB162
...ta Llama 3 70B Instruct Marlin8K / 39.5 GB4446
...erkrautLM 70B Instruct GPTQ 8B8K / 74.4 GB361
...g Llama 3 70B Instruct GPTQ 4B8K / 39.8 GB70
...g Llama 3 70B Instruct GPTQ 8B8K / 74.4 GB11
...a Llama 3 70B Instruct GPTQ 8B8K / 74.4 GB110
...Llama 3 70B Instruct GPTQ Int88K / 74.5 GB792
Note: green Score (e.g. "73.2") means that the model is better than cortecs/Llama-3-SauerkrautLM-70b-Instruct-GPTQ.

Rank the Llama 3 SauerkrautLM 70B Instruct GPTQ 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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