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Aspera SWE Llama 7B Updated by agi-designer

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  Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/agi-designer/Aspera-SWE-Llama-7b-updated 

Aspera SWE Llama 7B Updated Benchmarks

LLME Score: 0.20535
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Aspera SWE Llama 7B Updated (agi-designer/Aspera-SWE-Llama-7b-updated)

Aspera SWE Llama 7B Updated Parameters and Internals

LLM NameAspera SWE Llama 7B Updated
Repository 🤗https://huggingface.co/agi-designer/Aspera-SWE-Llama-7b-updated 
Model Size7b
Required VRAM13.5 GB
Updated2024-12-22
Maintaineragi-designer
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Context Length16384
Model Max Length16384
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the Aspera SWE Llama 7B Updated

Model
Likes
Downloads
VRAM
... SWE Llama 7B Updated 4bit AWQ0163 GB

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LLaMA 7B PoSE YaRN 128K128K / 13.5 GB113
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LLaMA 7B PoSE YaRN 96K96K / 13.5 GB111
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Llama2 7B 80K80K / 13.8 GB250
Lloma Step40064K / 13.5 GB800
Note: green Score (e.g. "73.2") means that the model is better than agi-designer/Aspera-SWE-Llama-7b-updated.

Rank the Aspera SWE Llama 7B Updated 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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Release v20241217
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