Llama Chess 3 by p11-p11

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  Arxiv:1910.09700   4bit   Autotrain compatible   Endpoints compatible   Llama   Pytorch   Quantized   Region:us   Sft   Sharded   Trl   Unsloth

Rank the Llama Chess 3 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  
Llama Chess 3 (p11-p11/llama_chess_3)

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Note: green Score (e.g. "73.2") means that the model is better than p11-p11/llama_chess_3.

Llama Chess 3 Parameters and Internals

LLM NameLlama Chess 3
RepositoryOpen on ๐Ÿค— 
Model Size8b
Required VRAM16.1 GB
Updated2024-06-24
Maintainerp11-p11
Model Typellama
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
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.41.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
Vocabulary Size128256
Initializer Range0.02
Torch Data Typefloat16

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801