Llama 2 7B Finetuned 2 by J-coder118

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  Arxiv:1910.09700   Autotrain compatible   Endpoints compatible   Finetuned   Llama   Region:us   Safetensors   Sharded   Tensorflow

Llama 2 7B Finetuned 2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Llama 2 7B Finetuned 2 Parameters and Internals

LLM NameLlama 2 7B Finetuned 2
Repository ๐Ÿค—https://huggingface.co/J-coder118/llama-2-7b-finetuned-2 
Model Size7b
Required VRAM13.5 GB
Updated2024-09-06
MaintainerJ-coder118
Model Typellama
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.6 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16
Llama 2 7B Finetuned 2 (J-coder118/llama-2-7b-finetuned-2)

Quantized Models of the Llama 2 7B Finetuned 2

Model
Likes
Downloads
VRAM
Llama 2 7B Chat Finetune20613 GB

Best Alternatives to Llama 2 7B Finetuned 2

Best Alternatives
Context / RAM
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...1M 1000000ctx AEZAKMI 3 1 17021024K / 13.5 GB561
Yarn Llama 2 7B 128K128K / 13.5 GB167338
LLaMA 7B PoSE YaRN 128K128K / 13.5 GB33
LLaMA 7B PoSE Linear 96K96K / 27 GB82
LLaMA 7B PoSE YaRN 96K96K / 13.5 GB31
Chat Llama2 7B 80K80K / 13.8 GB120
Llama2 7B 80K80K / 13.8 GB60
Lloma Step40064K / 13.5 GB570
Lloma Step20064K / 13.5 GB620
Lloma Step5064K / 13.5 GB540
Note: green Score (e.g. "73.2") means that the model is better than J-coder118/llama-2-7b-finetuned-2.

Rank the Llama 2 7B Finetuned 2 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803