Llama3 8B Spaetzle V20 Int4 Inc by cstr

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Llama3 8B Spaetzle V20 Int4 Inc Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3 8B Spaetzle V20 Int4 Inc (cstr/llama3-8b-spaetzle-v20-int4-inc)

Llama3 8B Spaetzle V20 Int4 Inc Parameters and Internals

Model Type 
int4-inc (intel auto-round) quantized
Supported Languages 
English (supported), German (supported)
Input Output 
Input Format:
Messages are input as role-content pairs.
Accepted Modalities:
text
Output Format:
Model outputs text completion based on the input prompt.
Performance Tips:
Use compatible torch and model versions for optimal performance.
LLM NameLlama3 8B Spaetzle V20 Int4 Inc
Repository ๐Ÿค—https://huggingface.co/cstr/llama3-8b-spaetzle-v20-int4-inc 
Model Size8b
Required VRAM5.7 GB
Updated2025-02-22
Maintainercstr
Model Typellama
Model Files  5.7 GB
Supported Languagesen de
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than cstr/llama3-8b-spaetzle-v20-int4-inc.

Rank the Llama3 8B Spaetzle V20 Int4 Inc 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 v20241227