Omost Llama 3 8B by lllyasviel

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Omost Llama 3 8B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Omost Llama 3 8B (lllyasviel/omost-llama-3-8b)

Omost Llama 3 8B Parameters and Internals

Model Type 
transformer
Training Details 
Methodology:
fp16
Context Length:
8000
LLM NameOmost Llama 3 8B
Repository ๐Ÿค—https://huggingface.co/lllyasviel/omost-llama-3-8b 
Model Size8b
Required VRAM16.1 GB
Updated2025-02-05
Maintainerlllyasviel
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.41.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
Vocabulary Size128256
Torch Data Typebfloat16

Quantized Models of the Omost Llama 3 8B

Model
Likes
Downloads
VRAM
...st Llama 3 8B AWQ 4bit Smashed055 GB

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Note: green Score (e.g. "73.2") means that the model is better than lllyasviel/omost-llama-3-8b.

Rank the Omost Llama 3 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 v20241227